From 19055096986c3e55e0107cf6a3ddb5662fa685ec Mon Sep 17 00:00:00 2001 From: bruna wundervald <brunadaviesw@gmail.com> Date: Wed, 14 Sep 2016 09:58:55 -0300 Subject: [PATCH 01/30] Adiciona os arquivos das tabelas 4.1, 4.6, 4.7, 4.8, 4.9, 4.10, 4.12 e 4.13 do Morettin --- R/MorettinTb4.1.R | 43 ++++++++++++++++++++++++++ R/MorettinTb4.10.R | 58 ++++++++++++++++++++++++++++++++++++ R/MorettinTb4.12.R | 58 ++++++++++++++++++++++++++++++++++++ R/MorettinTb4.13.R | 57 +++++++++++++++++++++++++++++++++++ R/MorettinTb4.4.R | 38 +++++++++++++++++++++++ R/MorettinTb4.6.R | 36 ++++++++++++++++++++++ R/MorettinTb4.7.R | 36 ++++++++++++++++++++++ R/MorettinTb4.8.R | 37 +++++++++++++++++++++++ R/MorettinTb4.9.R | 35 ++++++++++++++++++++++ data-raw/MorettinTb4.1.txt | 16 ++++++++++ data-raw/MorettinTb4.10.txt | 11 +++++++ data-raw/MorettinTb4.12.txt | 5 ++++ data-raw/MorettinTb4.13.txt | 5 ++++ data-raw/MorettinTb4.4.txt | 11 +++++++ data-raw/MorettinTb4.6.txt | 13 ++++++++ data-raw/MorettinTb4.7.txt | 13 ++++++++ data-raw/MorettinTb4.8.txt | 13 ++++++++ data-raw/MorettinTb4.9.txt | 13 ++++++++ data/MorettinTb4.1.rda | Bin 0 -> 654 bytes data/MorettinTb4.10.rda | Bin 0 -> 732 bytes data/MorettinTb4.12.rda | Bin 0 -> 362 bytes data/MorettinTb4.13.rda | Bin 0 -> 373 bytes data/MorettinTb4.4.rda | Bin 0 -> 290 bytes data/MorettinTb4.6.rda | Bin 0 -> 301 bytes data/MorettinTb4.7.rda | Bin 0 -> 294 bytes data/MorettinTb4.8.rda | Bin 0 -> 309 bytes data/MorettinTb4.9.rda | Bin 0 -> 337 bytes 27 files changed, 498 insertions(+) create mode 100644 R/MorettinTb4.1.R create mode 100644 R/MorettinTb4.10.R create mode 100644 R/MorettinTb4.12.R create mode 100644 R/MorettinTb4.13.R create mode 100644 R/MorettinTb4.4.R create mode 100644 R/MorettinTb4.6.R create mode 100644 R/MorettinTb4.7.R create mode 100644 R/MorettinTb4.8.R create mode 100644 R/MorettinTb4.9.R create mode 100644 data-raw/MorettinTb4.1.txt create mode 100644 data-raw/MorettinTb4.10.txt create mode 100644 data-raw/MorettinTb4.12.txt create mode 100644 data-raw/MorettinTb4.13.txt create mode 100644 data-raw/MorettinTb4.4.txt create mode 100644 data-raw/MorettinTb4.6.txt create mode 100644 data-raw/MorettinTb4.7.txt create mode 100644 data-raw/MorettinTb4.8.txt create mode 100644 data-raw/MorettinTb4.9.txt create mode 100644 data/MorettinTb4.1.rda create mode 100644 data/MorettinTb4.10.rda create mode 100644 data/MorettinTb4.12.rda create mode 100644 data/MorettinTb4.13.rda create mode 100644 data/MorettinTb4.4.rda create mode 100644 data/MorettinTb4.6.rda create mode 100644 data/MorettinTb4.7.rda create mode 100644 data/MorettinTb4.8.rda create mode 100644 data/MorettinTb4.9.rda diff --git a/R/MorettinTb4.1.R b/R/MorettinTb4.1.R new file mode 100644 index 00000000..8e027215 --- /dev/null +++ b/R/MorettinTb4.1.R @@ -0,0 +1,43 @@ +#' @name MorettinTb4.1 +#' @title Série A6 - CO +#' @description Últimos 15 valores do ajustamento pelo método de MMS - Série A6 +#' - CO, de 1ª de Janeiro a 30 de Abril de 1997. A tabela apresenta +#' os valores reais de Zt, e os para r igual a 7, 14 e 21. +#' @format Uma série temporal (classe \code{ts}) diária, com 15 observações, +#' em que +#' +#' \describe{ +#' +#' \item{\code{Zt}}{Número decimal que indica os valores reais das observações.} +#' +#' \item{\code{r7}}{Número decimal que indica os valores para r = 7 das +#' observações.} +#' +#' \item{\code{r14}}{Número decimal que indica os valores para r = 14 das +#' observações.} +#' +#' \item{\code{r21}}{Número decimal que indica os valores para r = 21 das +#' observações.} +#' +#' } +#' @keywords TS temporais +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Tabela 4.1 +#' pág. 88) +#' @examples +#' +#' data(MorettinTb4.1) +#' +#' library(lattice) +#' str(MorettinTb4.1) +#' +#' fivenum(MorettinTb4.1) +#' +#' colnames(MorettinTb4.1) <- c("Valor Real", "r = 7", "r = 14", "r = 21") +#' xyplot(MorettinTb4.1, type = c("l", "g"), +#' layout = c(2, 2), xlab = "Dias", ylab = "Valores", +#' main = expression("Série"~A[6]~"- CO"), +#' strip = strip.custom(bg = "white"), +#' lwd = 2, col = c("violetred", "blue", "yellow", "palegreen2"), +#' scales = list(y = list(rot = 0))) +NULL \ No newline at end of file diff --git a/R/MorettinTb4.10.R b/R/MorettinTb4.10.R new file mode 100644 index 00000000..e44046c8 --- /dev/null +++ b/R/MorettinTb4.10.R @@ -0,0 +1,58 @@ +#' @name MorettinTb4.10 +#' @title Preço Médio Mensal de Café +#' @description Dados de uma série do preço médio mensal (corrente), +#' recebido pelos produtos de café, no Estado de São Paulo. A tabela +#' é referente aos meses de Janeiro de 1970 a Junho de 1979. +#' @format Uma série temporal (classe \code{ts}), com 12 observações, +#' em que +#' +#' \describe{ +#' +#' \item{\code{Jan}}{Número decimal que indica o preço médio do mês de Janeiro.} +#' +#' \item{\code{Fev}}{Número decimal que indica o preço médio do mês de +#' Fevereiro.} +#' +#' \item{\code{Mar}}{Número decimal que indica o preço médio do mês de Março.} +#' +#' \item{\code{Abril}}{Número decimal que indica o preço médio do mês de Abril.} +#' +#' \item{\code{Mai}}{Número decimal que indica o preço médio do mês de Maio.} +#' +#' \item{\code{Jun}}{Número decimal que indica o preço médio do mês de Junho.} +#' +#' \item{\code{Jul}}{Número decimal que indica o preço médio do mês de Julho.} +#' +#' \item{\code{Ago}}{Número decimal que indica o preço médio do mês de Agosto.} +#' +#' \item{\code{Set}}{Número decimal que indica o preço médio do mês de +#' Setembro.} +#' +#' \item{\code{Out}}{Número decimal que indica o preço médio do mês de Outubro.} +#' +#' \item{\code{Nov}}{Número decimal que indica o preço médio do mês de +#' Novembro.} +#' +#' \item{\code{Dez}}{Número decimal que indica o preço médio do mês de +#' Dezembro.} +#' +#' } +#' @keywords TS temporais +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Tabela 4.10 +#' pág. 100) +#' @examples +#' +#' data(MorettinTb4.10) +#' +#' library(lattice) +#' str(MorettinTb4.10) +#' +#' fivenum(MorettinTb4.10) +#' +#' xyplot(MorettinTb4.10, type = c("l", "g"), +#' layout = c(2, 6), xlab = "Anos", ylab = "Preços", +#' main = "Preço médio mensal do café", strip = strip.custom(bg = "white"), +#' lwd = 2, col = c("violetred", "palegreen2", "yellow"), +#' scales = list(y = list(rot = 0))) +NULL \ No newline at end of file diff --git a/R/MorettinTb4.12.R b/R/MorettinTb4.12.R new file mode 100644 index 00000000..a183fd12 --- /dev/null +++ b/R/MorettinTb4.12.R @@ -0,0 +1,58 @@ +#' @name MorettinTb4.12 +#' @title Vendas de Óleo Lubrificante +#' @description Dados de uma série de quantidade de vendas de óleo +#' lubrificante. A tabela é referente aos meses de Janeiro de 1975 a +#' Dezembro de 1978. +#' @format Uma série temporal (classe \code{ts}), com 4 observações, +#' em que +#' +#' \describe{ +#' +#' \item{\code{Jan}}{Número inteiro que indica as vendas do mês de Janeiro.} +#' +#' \item{\code{Fev}}{Número inteiro que indica as vendas do mês de +#' Fevereiro.} +#' +#' \item{\code{Mar}}{Número inteiro que indica as vendas do mês de Março.} +#' +#' \item{\code{Abril}}{Número inteiro que indica as vendas do mês de Abril.} +#' +#' \item{\code{Mai}}{Número inteiro que indica as vendas do mês de Maio.} +#' +#' \item{\code{Jun}}{Número inteiro que indica as vendas do mês de Junho.} +#' +#' \item{\code{Jul}}{Número inteiro que indica as vendas do mês de Julho.} +#' +#' \item{\code{Ago}}{Número inteiro que indica as vendas do mês de Agosto.} +#' +#' \item{\code{Set}}{Número inteiro que indica as vendas do mês de +#' Setembro.} +#' +#' \item{\code{Out}}{Número inteiro que indica as vendas do mês de Outubro.} +#' +#' \item{\code{Nov}}{Número inteiro que indica as vendas do mês de +#' Novembro.} +#' +#' \item{\code{Dez}}{Número inteiro que indica as vendas do mês de +#' Dezembro.} +#' +#' } +#' @keywords TS temporais +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Tabela 4.12 +#' pág. 101) +#' @examples +#' +#' data(MorettinTb4.12) +#' +#' library(lattice) +#' str(MorettinTb4.12) +#' +#' fivenum(MorettinTb4.12) +#' +#' xyplot(MorettinTb4.12, type = c("l", "g"), +#' layout = c(2, 6), xlab = "Anos", ylab = "Vendas", +#' main = "Vendas de óleo lubrificante", strip = strip.custom(bg = "white"), +#' lwd = 2, col = c("violetred", "palegreen2", "yellow"), +#' scales = list(y = list(rot = 0))) +NULL \ No newline at end of file diff --git a/R/MorettinTb4.13.R b/R/MorettinTb4.13.R new file mode 100644 index 00000000..55ba00b3 --- /dev/null +++ b/R/MorettinTb4.13.R @@ -0,0 +1,57 @@ +#' @name MorettinTb4.13 +#' @title Vendas de Refrigerante +#' @description Dados de uma série de quantidade de vendas de refrigerante. +#' A tabela é referente aos meses de Janeiro de 1970 a Dezembro de 1978. +#' @format Uma série temporal (classe \code{ts}), com 4 observações, +#' em que +#' +#' \describe{ +#' +#' \item{\code{Jan}}{Número inteiro que indica as vendas do mês de Janeiro.} +#' +#' \item{\code{Fev}}{Número inteiro que indica as vendas do mês de +#' Fevereiro.} +#' +#' \item{\code{Mar}}{Número inteiro que indica as vendas do mês de Março.} +#' +#' \item{\code{Abril}}{Número inteiro que indica as vendas do mês de Abril.} +#' +#' \item{\code{Mai}}{Número inteiro que indica as vendas do mês de Maio.} +#' +#' \item{\code{Jun}}{Número inteiro que indica as vendas do mês de Junho.} +#' +#' \item{\code{Jul}}{Número inteiro que indica as vendas do mês de Julho.} +#' +#' \item{\code{Ago}}{Número inteiro que indica as vendas do mês de Agosto.} +#' +#' \item{\code{Set}}{Número inteiro que indica as vendas do mês de +#' Setembro.} +#' +#' \item{\code{Out}}{Número inteiro que indica as vendas do mês de Outubro.} +#' +#' \item{\code{Nov}}{Número inteiro que indica as vendas do mês de +#' Novembro.} +#' +#' \item{\code{Dez}}{Número inteiro que indica as vendas do mês de +#' Dezembro.} +#' +#' } +#' @keywords TS temporais +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Tabela 4.13 +#' pág. 102) +#' @examples +#' +#' data(MorettinTb4.12) +#' +#' library(lattice) +#' str(MorettinTb4.13) +#' +#' fivenum(MorettinTb4.13) +#' +#' xyplot(MorettinTb4.13, type = c("l", "g"), +#' layout = c(2, 6), xlab = "Anos", ylab = "Vendas", +#' main = "Vendas de Refrigerante", strip = strip.custom(bg = "white"), +#' lwd = 2, col = c("violetred", "palegreen2", "yellow"), +#' scales = list(y = list(rot = 0))) +NULL \ No newline at end of file diff --git a/R/MorettinTb4.4.R b/R/MorettinTb4.4.R new file mode 100644 index 00000000..5e609623 --- /dev/null +++ b/R/MorettinTb4.4.R @@ -0,0 +1,38 @@ +#' @name MorettinTb4.4 +#' @title Série A6 - NO2 +#' @description Últimos valores suavizados da Série A6 - NO2, de primeiro +#' de Janeiro a 30 de Abril de 1997, utilizando suavização exponencial +#' com simples \expression{alpha}=0.5502. A tabela contém valores reais +#' e ajustados. +#' @format Uma série temporal (classe \code{ts}) diária, com 10 observações, +#' em que +#' +#' \describe{ +#' +#' \item{\code{Zt}}{Número decimal que indica os valores reais das observações.} +#' +#' \item{\code{Zt_a}}{Número decimal que indica os valores ajustados das +#' observações.} +#' +#' } +#' @keywords TS temporais +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Tabela 4.4 +#' pág. 93) +#' @examples +#' +#' data(MorettinTb4.4) +#' +#' library(lattice) +#' str(MorettinTb4.4) +#' +#' fivenum(MorettinTb4.4) +#' +#' colnames(MorettinTb4.4) <- c("Valor Real", "Valor Ajustado") +#' xyplot(MorettinTb4.4, type = c("l", "g"), +#' layout = c(2, 1), xlab = "Dias", ylab = "Valores", +#' main = expression("Série"~A[6]~"-"~NO[2]), +#' strip = strip.custom(bg = "white"), +#' lwd = 2, col = c("violetred", "palegreen2"), +#' scales = list(y = list(rot = 0))) +NULL \ No newline at end of file diff --git a/R/MorettinTb4.6.R b/R/MorettinTb4.6.R new file mode 100644 index 00000000..b77fcf90 --- /dev/null +++ b/R/MorettinTb4.6.R @@ -0,0 +1,36 @@ +#' @name MorettinTb4.6 +#' @title Série A10 - M-ICV +#' @description Valores reais e previsões para os meses subsequentes a junho +#' de 1979 (t = 114), da Série A10 - M-ICV. As previsões foram feitas +#' utilizando a suavização exponencial de Holt (SEH). +#' @format Uma série temporal (classe \code{ts}) diária, com 12 observações, +#' em que +#' +#' \describe{ +#' +#' \item{\code{Zt}}{Número decimal que indica os valores reais das observações.} +#' +#' \item{\code{Z_114}}{Número decimal que indica os valores previstos das +#' observações, em t = 114.} +#' +#' } +#' @keywords TS temporais +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Tabela 4.6 +#' pág. 95) +#' @examples +#' +#' data(MorettinTb4.6) +#' +#' library(lattice) +#' str(MorettinTb4.6) +#' +#' fivenum(MorettinTb4.6) +#' +#' colnames(MorettinTb4.6) <- c("Valor Real", "Previsões para t = 114") +#' xyplot(MorettinTb4.6, type = c("l", "g"), +#' layout = c(2, 1), xlab = "Dias", ylab = "Valores", +#' main = expression("Série"~A[10]~"M-ICV"), strip = strip.custom(bg = "white"), +#' lwd = 2, col = c("violetred", "palegreen2"), +#' scales = list(y = list(rot = 0))) +NULL \ No newline at end of file diff --git a/R/MorettinTb4.7.R b/R/MorettinTb4.7.R new file mode 100644 index 00000000..a80ed9ce --- /dev/null +++ b/R/MorettinTb4.7.R @@ -0,0 +1,36 @@ +#' @name MorettinTb4.7 +#' @title Série A10 - ICV +#' @description Tabela 4.6 deste mesmo livro, com a previsão atualizada a cada +#' nova observação. +#' @format Uma série temporal (classe \code{ts}) diária, com 12 observações, +#' em que +#' +#' \describe{ +#' +#' \item{\code{Zt}}{Número decimal que indica os valores reais das observações.} +#' +#' \item{\code{Z1}}{Número decimal que indica os valores previstos das +#' observações, com t-1.} +#' +#' } +#' @keywords TS temporais +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Tabela 4.7 +#' pág. 96) +#' @examples +#' +#' data(MorettinTb4.7) +#' +#' library(lattice) +#' str(MorettinTb4.7) +#' +#' fivenum(MorettinTb4.7) +#' +#' colnames(MorettinTb4.7) <- c("Previsões para t-1", "Valor Real") +#' xyplot(MorettinTb4.7, type = c("l", "g"), +#' layout = c(2, 1), xlab = "Dias", ylab = "Valores", +#' main = expression("Série"~A[10]~"-ICV"), +#' strip = strip.custom(bg = "white"), +#' lwd = 2, col = c("violetred", "palegreen2"), +#' scales = list(y = list(rot = 0))) +NULL \ No newline at end of file diff --git a/R/MorettinTb4.8.R b/R/MorettinTb4.8.R new file mode 100644 index 00000000..812860a2 --- /dev/null +++ b/R/MorettinTb4.8.R @@ -0,0 +1,37 @@ +#' @name MorettinTb4.8 +#' @title Série de IPI +#' @description Aplicação do método de suavização exponencial sazonal de +#' Holt-Winters (HW) multiplicativo em uma série de IPI, com origem em +#' Julho de 1979. A tabela contém os valores reais e os previstos. +#' +#' @format Uma série temporal (classe \code{ts}) diária, com 12 observações, +#' em que +#' +#' \describe{ +#' +#' \item{\code{Zt}}{Número decimal que indica os valores reais das observações.} +#' +#' \item{\code{Z_127}}{Número decimal que indica os valores previstos das +#' observações, em t = 127.} +#' +#' } +#' @keywords TS temporais +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Tabela 4.8 +#' pág. 99) +#' @examples +#' +#' data(MorettinTb4.8) +#' +#' library(lattice) +#' str(MorettinTb4.8) +#' +#' fivenum(MorettinTb4.8) +#' +#' colnames(MorettinTb4.8) <- c("Valor Real", "Previsão com t = 127") +#' xyplot(MorettinTb4.8, type = c("l", "g"), +#' layout = c(2, 1), xlab = "Dias", ylab = "Valores", +#' main = expression("Série de IPI"), strip = strip.custom(bg = "white"), +#' lwd = 2, col = c("violetred", "palegreen2"), +#' scales = list(y = list(rot = 0))) +NULL \ No newline at end of file diff --git a/R/MorettinTb4.9.R b/R/MorettinTb4.9.R new file mode 100644 index 00000000..496146ca --- /dev/null +++ b/R/MorettinTb4.9.R @@ -0,0 +1,35 @@ +#' @name MorettinTb4.9 +#' @title Série de IPI +#' @description Tabela 4.9 deste mesmo livro, com a previsão atualizada a cada +#' nova observação. +#' @format Uma série temporal (classe \code{ts}) diária, com 12 observações, +#' em que +#' +#' \describe{ +#' +#' \item{\code{Zt}}{Número decimal que indica os valores reais das observações.} +#' +#' \item{\code{Z1}}{Número decimal que indica os valores previstos a cada +#' nova observação.} +#' +#' } +#' @keywords TS temporais +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Tabela 4.9 +#' pág. 99) +#' @examples +#' +#' data(MorettinTb4.9) +#' +#' library(lattice) +#' str(MorettinTb4.9) +#' +#' fivenum(MorettinTb4.9) +#' +#' colnames(MorettinTb4.8) <- c("Valor Real", "Previsão com t = 127") +#' xyplot(MorettinTb4.8, type = c("l", "g"), +#' layout = c(2, 1), xlab = "Dias", ylab = "Valores", +#' main = "Série de IPI", strip = strip.custom(bg = "white"), +#' lwd = 2, col = c("violetred", "palegreen2"), +#' scales = list(y = list(rot = 0))) +NULL \ No newline at end of file diff --git a/data-raw/MorettinTb4.1.txt b/data-raw/MorettinTb4.1.txt new file mode 100644 index 00000000..e0b27da5 --- /dev/null +++ b/data-raw/MorettinTb4.1.txt @@ -0,0 +1,16 @@ +Zt r7 r14 r21 +3.4371 3.5747 3.2287 3.0234 +4.9329 3.9243 3.2689 3.167 +4.6571 4.0085 3.28 3.3123 +4.0743 3.8512 3.3631 3.452 +4.0457 4.0616 3.5308 3.5633 +2.4914 3.8435 3.5496 3.5337 +2.5914 3.7471 3.5713 3.4511 +2.7029 3.6422 3.6085 3.8665 +3.3229 3.4122 3.6668 3.3167 +5.424 3.5218 3.7652 3.3606 +3.5767 3.4507 3.651 3.3923 +1.76 3.1242 3.5929 3.5953 +4.3857 3.3948 3.6191 3.498 +4.3286 3.643 3.6951 3.5952 +4.4614 3.8942 3.7682 3.7037 diff --git a/data-raw/MorettinTb4.10.txt b/data-raw/MorettinTb4.10.txt new file mode 100644 index 00000000..919633e5 --- /dev/null +++ b/data-raw/MorettinTb4.10.txt @@ -0,0 +1,11 @@ +Jan Fev Mar Abr Mai Jun Jul Ago Set Out Nov Dez +123.3 134.77 141.16 144.62 145.76 142.45 144.18 147.68 148.95 148.95 146.69 144.5 +138.82 131.46 137.5 138.22 134.05 130.25 126.55 126.47 125.5 127.09 129.85 132.16 +139.14 141.21 144.07 149.38 157.44 163.45 182.5 222.07 221.98 213.6 216.65 218.61 +228.06 238.34 245.27 249.25 248.89 256.21 278.78 287 286.27 287.7 291.4 298.4 +301.41 312.84 367.31 379.06 368.57 353.05 340.5 322.89 314.3 307.03 308.7 315.95 +337.48 339.39 333.07 327.49 335.09 376 383.57 632.51 638.12 640.45 635.82 649.45 +768.39 891.4 919.2 1057.7 1418.2 1423.8 1412.4 1368.7 1446.5 1492.2 1651.6 1792.3 +2045.4 2158 3401.3 3763.8 3013.9 2574.9 2158.5 1908.4 1801.2 1741.2 2075.5 2089 +2097.8 1968.6 1896.2 1867.9 1815.7 1956.2 1859.9 1878.2 2013.5 1947 1939.9 1843.4 +1907.8 1970.5 2045.2 2211.8 2452 2915.4 NA NA NA NA NA NA diff --git a/data-raw/MorettinTb4.12.txt b/data-raw/MorettinTb4.12.txt new file mode 100644 index 00000000..21b6cca4 --- /dev/null +++ b/data-raw/MorettinTb4.12.txt @@ -0,0 +1,5 @@ +Jan Fev Mar Abr Mai Jun Jul Ago Set Out Nov Dez +317 194 312 316 322 322 317 356 428 411 494 412 +460 395 392 447 452 452 517 397 410 579 473 558 +538 570 600 565 485 604 527 603 604 790 714 653 +626 690 680 673 613 744 718 767 728 793 726 777 diff --git a/data-raw/MorettinTb4.13.txt b/data-raw/MorettinTb4.13.txt new file mode 100644 index 00000000..95fa9eb8 --- /dev/null +++ b/data-raw/MorettinTb4.13.txt @@ -0,0 +1,5 @@ +Jan Fev Mar Abr Mai Jun Jul Ago Set Out Nov Dez +143 138 195 225 175 389 454 618 770 564 327 235 +189 326 289 293 279 552 664 827 1000 502 512 300 +359 264 315 361 414 647 836 901 1104 874 683 352 +332 244 320 437 544 830 1011 1081 1400 1123 713 487 diff --git a/data-raw/MorettinTb4.4.txt b/data-raw/MorettinTb4.4.txt new file mode 100644 index 00000000..2578e09d --- /dev/null +++ b/data-raw/MorettinTb4.4.txt @@ -0,0 +1,11 @@ +Zt Zt_a +57.47 67.94 +111.52 91.92 +96.77 94.59 +164.33 132.96 +127.41 129.9 +98.23 112.48 +88.05 99.04 +112.89 106.66 +137.22 123.48 +192.03 161.2 diff --git a/data-raw/MorettinTb4.6.txt b/data-raw/MorettinTb4.6.txt new file mode 100644 index 00000000..e9b78d37 --- /dev/null +++ b/data-raw/MorettinTb4.6.txt @@ -0,0 +1,13 @@ +Zt Z_114 +812 801.15 +840 825.26 +894 849.37 +936 873.49 +980 897.6 +1049 921.71 +1096 945.83 +1113 969.94 +1182 994.05 +1237 1081.16 +1309 1042.28 +1374 1066.39 diff --git a/data-raw/MorettinTb4.7.txt b/data-raw/MorettinTb4.7.txt new file mode 100644 index 00000000..6b847c66 --- /dev/null +++ b/data-raw/MorettinTb4.7.txt @@ -0,0 +1,13 @@ +Z1 Zt +801.15 812 +837.96 840 +867.39 894 +926.12 936 +972.46 980 +1018.73 1049 +1093.63 1096 +1144.06 1113 +1156.02 1182 +1226.33 1237 +1285.74 1309 +1362.76 1374 diff --git a/data-raw/MorettinTb4.8.txt b/data-raw/MorettinTb4.8.txt new file mode 100644 index 00000000..b96af12d --- /dev/null +++ b/data-raw/MorettinTb4.8.txt @@ -0,0 +1,13 @@ +Zt Z_127 +21614 21418.04 +19717 20724.74 +22133 21839.38 +20503 20603.24 +18800 19834.87 +19577 19338.89 +18992 18500.37 +21022 20678.69 +19064 19919.52 +21067 21059.73 +21553 21276.02 +22513 21930.14 diff --git a/data-raw/MorettinTb4.9.txt b/data-raw/MorettinTb4.9.txt new file mode 100644 index 00000000..6785eef0 --- /dev/null +++ b/data-raw/MorettinTb4.9.txt @@ -0,0 +1,13 @@ +Valor Real Previsão com t = 127 +21614 21418.04 +19717 20724.74 +22133 21839.38 +20503 20603.24 +18800 19834.87 +19577 19338.89 +18992 18500.37 +21022 20678.69 +19064 19919.52 +21067 21059.73 +21553 21276.02 +22513 21930.14 diff --git a/data/MorettinTb4.1.rda b/data/MorettinTb4.1.rda new file mode 100644 index 0000000000000000000000000000000000000000..4e55eeb6e74a83da6c7b6d24ac8cb41df91ad0e6 GIT binary patch literal 654 zcmb2|=3oE=X6~X+gGXHtk`fXUk`mI=QWBEbj3Q?=uqZQgGpkQ{_Vuj3m#*f?Gu)m= z7mZUA5}q-0-LfdS{<?Bcgx+(7J-5AYemWq{zL531Ug;d|0)Y>LUuO!Qf2XjZ{MYsu z*M!)gm7n|+JLe3a&hD@GTVnS<IAFEEd-6-U#mv`378q@N&$noH$<IR(DzX*Nx@_(h zTi*KDf9$&RU&C2^O|kKIcM5hsP>=|?yy@#XL-vExQ@5GFo-A9D_J{L>!0!hK=6|yN zntwf)ov}}Mnjn)WU(It_d(K$>GJy@^f=PD|KRK{{|FgG8dXm`h#s3jr_IBRO1KcG~ zUvJ+pv!nLQ?A3dx$X1k03k!XsVOeng*^Hwht6m-WsGs)8)qcT#ld5^f>+e52u(~Kb zKI@+yd)?Os6Iw!7^34es3R^1k>*0Z=+osNruief(J@??F*D>4pV$O^Id2;67(*w*~ zr>mEqs;a*y#y-z;O|^vhbIT8RjJLAyI?`xfvQ76lXFj`KrR&|I!<>A35+3rf&#Uzd zd_PH4rowLjtvUN1EN9NQzp&HT&*H<%U4^=z4GSJHu-^W8m2Xa>j?iT9Zx#ht{lhgm z-<3a@$IWNKKJVDk$|~u8iw`?CnLIO2VftIF9q>tJH}n17FZcfYzE*aJmBYQ_;s;e% zo^05A@JM5{<dQo#8lM|jFv#qvw?F@~Y~Hg2#V^`_PIFb`+r!;>?zMf_G>#d;M#YYq zjC1@XBz`z{viNec2YALM<z*R8(B%pJ&fmd$AWJc8#v-qTHA=-ZF1og<6)c;mxa+9u zQC0`8DbHreE|QXPIH1VqV|b%Jp@B(6cg;!5&Z9>IX3tD~_GFsK;WcfWZxji8cNu9f R;QPzYQ1&jEpNE-&0RZE_I(7g6 literal 0 HcmV?d00001 diff --git a/data/MorettinTb4.10.rda b/data/MorettinTb4.10.rda new file mode 100644 index 0000000000000000000000000000000000000000..fd740863e2f81cf55e59ec8df75f93fa1c2c2c00 GIT binary patch literal 732 zcmb2|=3oE==Gc%}50O9-x$-SVn#Lkkn$<58s|~d`DjX5^(C(ZmrKo6S{95bwyL0c( zoq5+~8?iz#Lc>vd*1G6fu2Wd{-k6+X-;$#0$ojY8!fZQ<43Wl?_jToAH@J5{w=UoJ zdG37cV(Hbh`K@Qqoup!^5_xW-j8XGWzHif&pL+c~BX*^gXMO6=FPoz(UoJHAoWy-2 zPkd{g%^~rX&$SN=&!4+wTe<$u<=vVEl{@#RESuQl->kdttGLKr+t@pML!85(PMX>F zv`#8sJ}tW?NbbhQ?-v618B9IJp=q`Jt#T=snZ@~3{YjN`m#<us!TO1}#x>^E>?7i; z&#itedSX-aRqoTu)DNcYkG`;<5RQ(XFP&rQa80S=`n-kn+Ra^JS8mVIz3@Y7P1un` zhbAxCH8-YXi@TnlgQEDC$NnvGGJ6(kcU0fe{K9wWUg6=a<5E8scvSM;KYaYjyk!^U z&KS<?-?b+Gh4sUxdw&^kTnxLxIWfMr{ohonA8)PxY`AlXdufE?kB{CJ^Hv=CqxL<? z-jc=oYt)z7$8Qz>UAB$$gO#0vo{&Rr;6(L*;-zY3oyC9q{%)L`x&Jx;_igu7b+x`s zdU4sl{d32fru?ag-q&_MH#favxJ~2P^*P_F!*chk{K^g%ct78D{>1q+R$F%dxEDId zJBek_#lMeYk~8Z!+eN<@eYNL<NUi(7gR@d!?DluF-G0vDdD+ex@eEZnf1O*%|J35q z-=hyCMNcGOOWOaPec$B7!n&1<AJwiqKPz7G+tj)<x9=Z0$R!!<lrL6QyLCmriF=KF z@1pmtFFJp1+E=vmu6RnC`!A&lDs_rE=NIK9i^TF)`L=bl<TwB2x*Vfe>~%G_;*#{{ z#JO2FKD4Cey!&O87+5RJW_0J=1m4+urt!XBELmYS#WV2j+jDs*jSm0$_h`bT{39XZ wm$q@~$9{{Q{+x5gGR>+<xpNn!a=kdQK-clAQB7<Ti}ZiSFB5Z<+*uhI0D9SOT>t<8 literal 0 HcmV?d00001 diff --git a/data/MorettinTb4.12.rda b/data/MorettinTb4.12.rda new file mode 100644 index 0000000000000000000000000000000000000000..3a8c9c1ceceb4de48ae7d5ea00525598a1b85aea GIT binary patch literal 362 zcmb2|=3oE=X6~X+gGXHtk`fXUk`mI=QWBEbj3Q?=uqZQgGpkQ{_W7*7m#*f?Gu)m= z7mZDl5)z&<cS%`@#3wK?w$EY~*u{7%e;&g^V;O~#qih^^Ii}{fo)R~Ac)GAe_{yBH z75kDj_WxoI`Ome&hP_2Eu;CVeXuLSX)_CUKHJ6z=?(!MSznaIk;#V6N$K5c7g{KqV zwXe$F#d!5Uvs1X^-SC|ZSO1vJu()#HS4dzN^Qre1jHUV^wYnxYw-&t1Z(g;!W!7bm zQh#r@kp1k;EDMeZ6?>)WO?Z^b;Hnb9*HL+4N&&;vC#uhui80?i6j1uVA%bCzSXNJX zl3dTrX;Ey+ztqGI&gk=W<+$jxW7{Pg7Gw5xX14Ojc>Hu54gY#S^x0ptLsV~N=!-Zl zO}0weDYs_GKD*oaqwXHJLGJ%X#%PTVYR^@~#GU^h;W1X<zC_|wO4H^WMZ(@)M%oJ; QKkzfmWnH#}otc3F0Kl%1=Kufz literal 0 HcmV?d00001 diff --git a/data/MorettinTb4.13.rda b/data/MorettinTb4.13.rda new file mode 100644 index 0000000000000000000000000000000000000000..ed523b12cb7a2ad66bbec478ca16f3ebff422e0b GIT binary patch literal 373 zcmb2|=3oE==G;lXUWXkd+Lq7MirONwr@=e?(fvbn1-m)|L`x?w4dykyu*7ucv{kOr zYm&BJC{x^_W!vOl@RBiRN6ACRs-{Ov?pte$FrWN<?#bVOMwVXD*__%3C5$DW8>SVg zK5nZz5;5njmYOl^{b`pz`fZXvz4~>}$0fI74Uh73>l<HJpVsa2(@{k2+VUewy)PQY zZ+s6v@<6uE?Tr4TzlxvAJIo_)uc+_b6&`V2FurkppPkg~BhMNlT>rBDs&(7@P5PtU z$FuoK*_}6js@g4lZ}zGDVEA44`4#O}`X{dECi;Deb>7b}_OWpK3#D`J^{GGdH1i%! z`LXk{)|t&86s}sAp7)JNn{rfmovg-QhWi0`S56eq{MNGkX<zI$Bjp<1?VJBqT<<*O zbuZ$Xa{jsnPdDmrwb5`b+AlEG<M#E*$|n_MO#j^8ar5_*m(}sgdAv93;}c)$=r=JK g7tTFCm2rvS%FJ+&`zs#^^ZaLM4Sg%Z&dk670F|q?#Q*>R literal 0 HcmV?d00001 diff --git a/data/MorettinTb4.4.rda b/data/MorettinTb4.4.rda new file mode 100644 index 0000000000000000000000000000000000000000..54f836a834ad2848ea861db118f0a38da12b35ee GIT binary patch literal 290 zcmb2|=3oE=X6~X+gGXHtk`fXUk`mI=QWBEbj3Q?=uqZQgGpkQ{_Vuj3m#*f?Gu)m= z7mX7W5}q-0by@s)bMZ&j3j1S<zZU+snz*W+Pq0nEYUyfwx5uv&+kZrFW9?pFZ0Yjl zEl15=t@i@Qa(I~d48;_3XYqBuicw(YljISoJ0RatnYiD9EzG(_pY@Z;K1-D|%`f~n zSTeJu%O*Wh_|xGmP`xP3@lEG$c0vC@Z)Qdle}m;I&zk-)eN$&<KC*v>mqmluC!ylt z?#7(N6}##kbQsc{uNb&ab%@jnRQ=fbV%iiDaR$wR9|qPg@(B!#?G^?{6aF_cas_PJ rp!QrvOx!s)v2Et$=pdfW0_T!W`|4<(TGL?lN}fS>(p$bAj0_9_Y3p%! literal 0 HcmV?d00001 diff --git a/data/MorettinTb4.6.rda b/data/MorettinTb4.6.rda new file mode 100644 index 0000000000000000000000000000000000000000..5103d74f50da6e8ef70ff233387a9c3a6e8eee87 GIT binary patch literal 301 zcmb2|=3oE=X6~X+gGXHtk`fXUk`mI=QWBEbj3Q?=uqZQgGpkQ{_Vuj3m#*f?Gu)m= z7mbq>5}q-0d0CXG88kFFPiJm<_m5#=^};{<SOuz_xLW3|U|72FkEf_WRS`$aydb89 z%bku|TlP90SonF0$5rR=rF^lm@%&$pXIPa~@6VfhTky$+!^LbI=d8ZWiDeIY@bJRz z?LVxh=Pq=fZy#Xwq1So8gA|8_PX&|U{0E#Ob$4GGB&OE)9J_uvV_u5i$uq1!MP>MS zcx(iuTsheTJmZq`vJ5Ba@`Qfp?_fQU(;>BNg^)(Ksn)#<7g+92oAiiDftAZ4t$hZw zK>soGhRkY@9}C;<vWxtZ3JtGFrOmM1se05v`k~IYJ4YrhI>WVM^*=@im1(JqZ!$74 F001jrd}{yz literal 0 HcmV?d00001 diff --git a/data/MorettinTb4.7.rda b/data/MorettinTb4.7.rda new file mode 100644 index 0000000000000000000000000000000000000000..9b47baf501f6f5d4953ad7a03faac200b885f8a4 GIT binary patch literal 294 zcmb2|=3oE=X6~X+gGXHtk`fXUk`mI=QWBEbj3Q?=uqZQgGpkQ{_Vuj3m#*f?Gu)m= z7md>s5}q-0d0CVcNi{b(Pyc5%aaFq<-`z_^)=cr+t-jR!s9Is~c6p(`q|&|muU6A@ z4+^z+CarZ~&6iQL+n^g!Gxv1jB!+-nwQ~=r_%6`fDa#jpMB&%6s^UfwixM@1h6d;9 z%q{Q!F)XZJ_-7xhK$R0$%e)l~OBep}6cwl{;%J!{#I$g^(~*ldC+AF>$^A*&LPkQO zLcyd<h;PB9JxA_bNm7WGSoKa`fV<(QfT>SlTR|A-E>YE^tPWfvRcH7N*%j7x<}+OW xCNHsJXP2p^`o<j+S?tDV=G>W-G()vOEIKdAGcb+yisyfZkX@obuQ4((005t=b$b8+ literal 0 HcmV?d00001 diff --git a/data/MorettinTb4.8.rda b/data/MorettinTb4.8.rda new file mode 100644 index 0000000000000000000000000000000000000000..804294ab3ad900b128685ca468ed4e502e5385f6 GIT binary patch literal 309 zcmb2|=3oE=X6~X+gGXHtk`fXUk`mI=QWBEbj3Q?=uqZQgGpkQ{_Vuj3m#*f?Gu)m= z7dIy)Bs^p0^0J7Tn#XX7hi|&9?13*=cMAOCdd+B1tJ%h=q|Yw6{|fWN_{{bfyG{5{ z&1VU$pUR$fPJV^u`dPn{P4-#FY`ofk@kiB-hglzb4_sgSi7))gx#pkKA8%VPyt3*= z!OM$%>)U@N%jj`-HUA9fxt_tmDx)WEUlOk#^tK@N&~90WUcT@?<EEeCo2?vPU9>ql zXVOgWPudnT5)u^(CS5{&3nuM3a_35tLbSxHck%+<4L1c$eF9Yj#Ii&7ESzY$OIP(M zs{@xv!x=tKo(T*dEe3Dw4ICJ|#I8M=bL3Id3ez(N#YNs-iDri)b9Q#By3Q002>;8> Na72H)%1uTF1^}OGfr9`5 literal 0 HcmV?d00001 diff --git a/data/MorettinTb4.9.rda b/data/MorettinTb4.9.rda new file mode 100644 index 0000000000000000000000000000000000000000..23b81ffa693cca5be73d43945cc28dcef42fdde8 GIT binary patch literal 337 zcmb2|=3oE=X6~X+gGXHtk`fXUk`mI=QWBEbj3Q?=uqZQgGpkQ{_Vuj3m#*f?Gu)m= z7dNLQBs^p0^0J7Tn#XX7hi|&9?13*=cMAOCdd+B1tJ%h=q|Yw6{|fWN_{{bfyG{5{ z&1VU$pUR$fPJV^u`dPn{P4-#FY`ofk@kiB-hglzb4_sgSi7))gx#pkKA8%VPyt3*= z!OM$%>)U@N%jj`-HUA9fxt_tmDx)WEUlOk#^tK@N&~90WUcT@?<EEeCo2?vPU9>ql zXVOgWPudnT5)u^(CS5{&3nuM3a_35tLbSxHck%+<4L1c$V-h<pf4XuxuI#kr;o(&f zyx6el%BC}q4tIYRo%Fd_)Jr5sl&AO1#aw+&J%*qK4XI@w2@NbhN-c^18yUF*wro&) qt|BJxyf(dU=H%!go>ZfQkvTg%Rb6L_23-Hg%wW*}!RR9+0|Njdz>aPJ literal 0 HcmV?d00001 -- GitLab From 7f06251da4f2f1dd6f125b3a0baf5c72a2d8957c Mon Sep 17 00:00:00 2001 From: Bruna Wundervald <brunadaviesw@gmail.com> Date: Wed, 14 Sep 2016 16:35:02 -0300 Subject: [PATCH 02/30] =?UTF-8?q?Corre=C3=A7=C3=A3o=20no=20t=C3=ADtulo=20d?= =?UTF-8?q?o=20gr=C3=A1fico?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- R/MorettinTb4.8.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/MorettinTb4.8.R b/R/MorettinTb4.8.R index 812860a2..dd825dcd 100644 --- a/R/MorettinTb4.8.R +++ b/R/MorettinTb4.8.R @@ -31,7 +31,7 @@ #' colnames(MorettinTb4.8) <- c("Valor Real", "Previsão com t = 127") #' xyplot(MorettinTb4.8, type = c("l", "g"), #' layout = c(2, 1), xlab = "Dias", ylab = "Valores", -#' main = expression("Série de IPI"), strip = strip.custom(bg = "white"), +#' main = "Série de IPI", strip = strip.custom(bg = "white"), #' lwd = 2, col = c("violetred", "palegreen2"), #' scales = list(y = list(rot = 0))) NULL \ No newline at end of file -- GitLab From e27ce024f186263b95e4e1aa2379438c1c3f8d2f Mon Sep 17 00:00:00 2001 From: bruna wundervald <brunadaviesw@gmail.com> Date: Fri, 16 Sep 2016 15:27:07 -0300 Subject: [PATCH 03/30] Corrigi o formato do @source --- R/MorettinTb4.1.R | 4 +--- R/MorettinTb4.10.R | 4 +--- R/MorettinTb4.12.R | 4 +--- R/MorettinTb4.13.R | 4 +--- R/MorettinTb4.4.R | 4 +--- R/MorettinTb4.6.R | 4 +--- R/MorettinTb4.7.R | 4 +--- R/MorettinTb4.8.R | 4 +--- R/MorettinTb4.9.R | 4 +--- 9 files changed, 9 insertions(+), 27 deletions(-) diff --git a/R/MorettinTb4.1.R b/R/MorettinTb4.1.R index 8e027215..df1364b8 100644 --- a/R/MorettinTb4.1.R +++ b/R/MorettinTb4.1.R @@ -21,9 +21,7 @@ #' #' } #' @keywords TS temporais -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Tabela 4.1 -#' pág. 88) +#' @source MORETTIN, TOLOI (2006), Tabela 4.1, pág. 88. #' @examples #' #' data(MorettinTb4.1) diff --git a/R/MorettinTb4.10.R b/R/MorettinTb4.10.R index e44046c8..61860848 100644 --- a/R/MorettinTb4.10.R +++ b/R/MorettinTb4.10.R @@ -38,9 +38,7 @@ #' #' } #' @keywords TS temporais -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Tabela 4.10 -#' pág. 100) +#' @source MORETTIN, TOLOI (2006), Tabela 4.10, pág. 100. #' @examples #' #' data(MorettinTb4.10) diff --git a/R/MorettinTb4.12.R b/R/MorettinTb4.12.R index a183fd12..f8c73675 100644 --- a/R/MorettinTb4.12.R +++ b/R/MorettinTb4.12.R @@ -38,9 +38,7 @@ #' #' } #' @keywords TS temporais -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Tabela 4.12 -#' pág. 101) +#' @source MORETTIN, TOLOI (2006), Tabela 4.12, pág. 101. #' @examples #' #' data(MorettinTb4.12) diff --git a/R/MorettinTb4.13.R b/R/MorettinTb4.13.R index 55ba00b3..e4b8ab74 100644 --- a/R/MorettinTb4.13.R +++ b/R/MorettinTb4.13.R @@ -37,9 +37,7 @@ #' #' } #' @keywords TS temporais -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Tabela 4.13 -#' pág. 102) +#' @source MORETTIN, TOLOI (2006), Tabela 4.13, pág. 102. #' @examples #' #' data(MorettinTb4.12) diff --git a/R/MorettinTb4.4.R b/R/MorettinTb4.4.R index 5e609623..fd1ba02b 100644 --- a/R/MorettinTb4.4.R +++ b/R/MorettinTb4.4.R @@ -16,9 +16,7 @@ #' #' } #' @keywords TS temporais -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Tabela 4.4 -#' pág. 93) +#' @source MORETTIN, TOLOI (2006), Tabela 4.4, pág. 93. #' @examples #' #' data(MorettinTb4.4) diff --git a/R/MorettinTb4.6.R b/R/MorettinTb4.6.R index b77fcf90..d62c0c96 100644 --- a/R/MorettinTb4.6.R +++ b/R/MorettinTb4.6.R @@ -15,9 +15,7 @@ #' #' } #' @keywords TS temporais -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Tabela 4.6 -#' pág. 95) +#' @source MORETTIN, TOLOI (2006), Tabela 4.6, pág. 95. #' @examples #' #' data(MorettinTb4.6) diff --git a/R/MorettinTb4.7.R b/R/MorettinTb4.7.R index a80ed9ce..ae0473ff 100644 --- a/R/MorettinTb4.7.R +++ b/R/MorettinTb4.7.R @@ -14,9 +14,7 @@ #' #' } #' @keywords TS temporais -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Tabela 4.7 -#' pág. 96) +#' @source MORETTIN, TOLOI (2006), Tabela 4.7, pág. 96. #' @examples #' #' data(MorettinTb4.7) diff --git a/R/MorettinTb4.8.R b/R/MorettinTb4.8.R index 812860a2..e417a808 100644 --- a/R/MorettinTb4.8.R +++ b/R/MorettinTb4.8.R @@ -16,9 +16,7 @@ #' #' } #' @keywords TS temporais -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Tabela 4.8 -#' pág. 99) +#' @source MORETTIN, TOLOI (2006), Tabela 4.8, pág. 99. #' @examples #' #' data(MorettinTb4.8) diff --git a/R/MorettinTb4.9.R b/R/MorettinTb4.9.R index 496146ca..5555ff38 100644 --- a/R/MorettinTb4.9.R +++ b/R/MorettinTb4.9.R @@ -14,9 +14,7 @@ #' #' } #' @keywords TS temporais -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Tabela 4.9 -#' pág. 99) +#' @source MORETTIN, TOLOI (2006), Tabela 4.9, pág. 99. #' @examples #' #' data(MorettinTb4.9) -- GitLab From c28c1d372971209d20688184341320be3ee106c2 Mon Sep 17 00:00:00 2001 From: Eduardo Junior <edujrrib@gmail.com> Date: Thu, 22 Sep 2016 16:36:51 -0300 Subject: [PATCH 04/30] =?UTF-8?q?Refaz=20a=20inclus=C3=A3o=20da=20s=C3=A9r?= =?UTF-8?q?ie=20MorettinTb4.10?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- R/MorettinTb4.10.R | 79 ++++++++-------------- data-raw/MorettinTb4.10.txt | 126 ++++++++++++++++++++++++++++++++---- data/MorettinTb4.10.rda | Bin 732 -> 712 bytes man/MorettinTb4.10.Rd | 41 ++++++++++++ 4 files changed, 183 insertions(+), 63 deletions(-) create mode 100644 man/MorettinTb4.10.Rd diff --git a/R/MorettinTb4.10.R b/R/MorettinTb4.10.R index e44046c8..32188b1f 100644 --- a/R/MorettinTb4.10.R +++ b/R/MorettinTb4.10.R @@ -1,58 +1,33 @@ #' @name MorettinTb4.10 -#' @title Preço Médio Mensal de Café -#' @description Dados de uma série do preço médio mensal (corrente), -#' recebido pelos produtos de café, no Estado de São Paulo. A tabela -#' é referente aos meses de Janeiro de 1970 a Junho de 1979. -#' @format Uma série temporal (classe \code{ts}), com 12 observações, -#' em que -#' -#' \describe{ -#' -#' \item{\code{Jan}}{Número decimal que indica o preço médio do mês de Janeiro.} -#' -#' \item{\code{Fev}}{Número decimal que indica o preço médio do mês de -#' Fevereiro.} -#' -#' \item{\code{Mar}}{Número decimal que indica o preço médio do mês de Março.} -#' -#' \item{\code{Abril}}{Número decimal que indica o preço médio do mês de Abril.} -#' -#' \item{\code{Mai}}{Número decimal que indica o preço médio do mês de Maio.} -#' -#' \item{\code{Jun}}{Número decimal que indica o preço médio do mês de Junho.} -#' -#' \item{\code{Jul}}{Número decimal que indica o preço médio do mês de Julho.} -#' -#' \item{\code{Ago}}{Número decimal que indica o preço médio do mês de Agosto.} -#' -#' \item{\code{Set}}{Número decimal que indica o preço médio do mês de -#' Setembro.} -#' -#' \item{\code{Out}}{Número decimal que indica o preço médio do mês de Outubro.} -#' -#' \item{\code{Nov}}{Número decimal que indica o preço médio do mês de -#' Novembro.} -#' -#' \item{\code{Dez}}{Número decimal que indica o preço médio do mês de -#' Dezembro.} -#' -#' } -#' @keywords TS temporais +#' @title Preço Médio Mensal de Café no Estado de São Paulo +#' @description Dados sobre o preço médio mensal (corrente), MENSURADO +#' EM ???, recebido pelos produtos de café, no Estado de São Paulo +#' durante o período de 1970 a 1979. referente aos meses de janeiro +#' de 1970 a junho de 1979. +#' @format Uma série temporal (classe \code{ts}), com 144 observações +#' mensais, de janeiro de 1970 a junho de 1979. +#' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Tabela 4.10 -#' pág. 100) +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard +#' Blucher. (Tabela 4.10 pág. 100) #' @examples #' #' data(MorettinTb4.10) -#' -#' library(lattice) #' str(MorettinTb4.10) -#' -#' fivenum(MorettinTb4.10) -#' -#' xyplot(MorettinTb4.10, type = c("l", "g"), -#' layout = c(2, 6), xlab = "Anos", ylab = "Preços", -#' main = "Preço médio mensal do café", strip = strip.custom(bg = "white"), -#' lwd = 2, col = c("violetred", "palegreen2", "yellow"), -#' scales = list(y = list(rot = 0))) -NULL \ No newline at end of file +#' MorettinTb4.10 +#' +#' # Médias anuais +#' aggregate(MorettinTb4.10, FUN = mean) +#' +#' # Médias mensais +#' tapply(MorettinTb4.10, cycle(MorettinTb4.10), mean) +#' +#' # Visualização da série +#' library(lattice) +#' xyplot(MorettinTb4.10, type = c("o", "g"), pch = 19) +#' +#' # Gráfico da decomposição sazonal +#' library(latticeExtra) +#' xyplot(stl(MorettinTb4.10, s.window = 12)) +#' +NULL diff --git a/data-raw/MorettinTb4.10.txt b/data-raw/MorettinTb4.10.txt index 919633e5..e79db26a 100644 --- a/data-raw/MorettinTb4.10.txt +++ b/data-raw/MorettinTb4.10.txt @@ -1,11 +1,115 @@ -Jan Fev Mar Abr Mai Jun Jul Ago Set Out Nov Dez -123.3 134.77 141.16 144.62 145.76 142.45 144.18 147.68 148.95 148.95 146.69 144.5 -138.82 131.46 137.5 138.22 134.05 130.25 126.55 126.47 125.5 127.09 129.85 132.16 -139.14 141.21 144.07 149.38 157.44 163.45 182.5 222.07 221.98 213.6 216.65 218.61 -228.06 238.34 245.27 249.25 248.89 256.21 278.78 287 286.27 287.7 291.4 298.4 -301.41 312.84 367.31 379.06 368.57 353.05 340.5 322.89 314.3 307.03 308.7 315.95 -337.48 339.39 333.07 327.49 335.09 376 383.57 632.51 638.12 640.45 635.82 649.45 -768.39 891.4 919.2 1057.7 1418.2 1423.8 1412.4 1368.7 1446.5 1492.2 1651.6 1792.3 -2045.4 2158 3401.3 3763.8 3013.9 2574.9 2158.5 1908.4 1801.2 1741.2 2075.5 2089 -2097.8 1968.6 1896.2 1867.9 1815.7 1956.2 1859.9 1878.2 2013.5 1947 1939.9 1843.4 -1907.8 1970.5 2045.2 2211.8 2452 2915.4 NA NA NA NA NA NA +x +123.3 +134.77 +141.16 +144.62 +145.76 +142.45 +144.18 +147.68 +148.95 +148.95 +146.69 +144.5 +138.82 +131.46 +137.5 +138.22 +134.05 +130.25 +126.55 +126.47 +125.5 +127.09 +129.85 +132.16 +139.14 +141.21 +144.07 +149.38 +157.44 +163.45 +182.5 +222.07 +221.98 +213.6 +216.65 +218.61 +228.06 +238.34 +245.27 +249.25 +248.89 +256.21 +278.78 +287 +286.27 +287.7 +291.4 +298.4 +301.41 +312.84 +367.31 +379.06 +368.57 +353.05 +340.5 +322.89 +314.3 +307.03 +308.7 +315.95 +337.48 +339.39 +333.07 +327.49 +335.09 +376 +383.57 +632.51 +638.12 +640.45 +635.82 +649.45 +768.39 +891.4 +919.2 +1057.7 +1418.2 +1423.8 +1412.4 +1368.7 +1446.5 +1492.2 +1651.6 +1792.3 +2045.4 +2158 +3401.3 +3763.8 +3013.9 +2574.9 +2158.5 +1908.4 +1801.2 +1741.2 +2075.5 +2089 +2097.8 +1968.6 +1896.2 +1867.9 +1815.7 +1956.2 +1859.9 +1878.2 +2013.5 +1947 +1939.9 +1843.4 +1907.8 +1970.5 +2045.2 +2211.8 +2452 +2915.4 diff --git a/data/MorettinTb4.10.rda b/data/MorettinTb4.10.rda index fd740863e2f81cf55e59ec8df75f93fa1c2c2c00..6b1c5db175e85910c93ee1612d68165bc3857f43 100644 GIT binary patch literal 712 zcmZ>Y%CIzaj8qGb+_Ac+l7W%u|Nno6Z`xZD|DHN>>Tl@({r_j=`(57u{=P@T{_vOQ zRru019T>lts~4~0)m-7$%QlOls@LSg1t|t*2Zqa67)*>9GI$x79jcnId^M5lT;{|X zxPT$U)|9OwiNWLoo7%j^90yGpPB1W}ur<iFm`E9!2->Rn2UR&=VE`L(fdL74sf2u$ zTfWR$bD5Ek$;?F=Ctn&UU+^_>_F*wwHjAgNSy*uS0^cPkE}S^|%2vHIx}fHK=lvkx zFAEpk-n}>IWJRjUl=Kz{K1;(ukJ%Elm*_ufVo(=QTEWN|t7Raf(dcX{Xli$Y+4(4c zi5ZvXJ!TVTg#;!xM>Y;7wH2&!(i*2FY<nD<0-PGfSbrrwc*Jxx>GAeyGv_^8w?R%J z#ZU59-p(@bnQ9Ye=rDHO>v7{_zT6<;_w;V!<prl&8ko!_?Kvv<)%(eZo4iT;yfsSf zaNI%7aBU7F*W!pT^^q%$7qbZWcE7uNJ#opUXokaW-Gy97&%e4{s<Y{;+R23%?R0c} zW^3*Z`Z?1<Z~FDAGrUgEWL02dYgR~5ID5)dp+RK^M^BRG?UcGBOv^T0d-L&vd!FVa z#)L?VxnU)@Pp4m#4^iMq<S5c;pBZSUrS>iRS$pV52T%TUrSqTe+dcn!X-Bc?8!5AG zkzq@+meoFu<S=RP-*@ovF>bp9sZUMHj<g;)BBS#p!|wD%W2u4`LCt$fjHda0LOL!S zYD(dj`x5*)1ld2GliyqZq`$bzqsCKX?|Dx_i4K<tr>2+{rk_+j6M9#=M+-(<%d%<e z-rn}y@%ze-z(2oRuPtM!Tc3C3S$qHMGfN#7$V&=|d{kms82)N8`-QI}n+{L@-2ZQ; zo)DwhrhD@3J5H`!ck}q=1cAAG6;5$-wYe;cS`cFLs93x;)3g8S7Uk;(e2(QR!L6L! JT|16X000(!EdKxi literal 732 zcmb2|=3oE==Gc%}50O9-x$-SVn#Lkkn$<58s|~d`DjX5^(C(ZmrKo6S{95bwyL0c( zoq5+~8?iz#Lc>vd*1G6fu2Wd{-k6+X-;$#0$ojY8!fZQ<43Wl?_jToAH@J5{w=UoJ zdG37cV(Hbh`K@Qqoup!^5_xW-j8XGWzHif&pL+c~BX*^gXMO6=FPoz(UoJHAoWy-2 zPkd{g%^~rX&$SN=&!4+wTe<$u<=vVEl{@#RESuQl->kdttGLKr+t@pML!85(PMX>F zv`#8sJ}tW?NbbhQ?-v618B9IJp=q`Jt#T=snZ@~3{YjN`m#<us!TO1}#x>^E>?7i; z&#itedSX-aRqoTu)DNcYkG`;<5RQ(XFP&rQa80S=`n-kn+Ra^JS8mVIz3@Y7P1un` zhbAxCH8-YXi@TnlgQEDC$NnvGGJ6(kcU0fe{K9wWUg6=a<5E8scvSM;KYaYjyk!^U z&KS<?-?b+Gh4sUxdw&^kTnxLxIWfMr{ohonA8)PxY`AlXdufE?kB{CJ^Hv=CqxL<? z-jc=oYt)z7$8Qz>UAB$$gO#0vo{&Rr;6(L*;-zY3oyC9q{%)L`x&Jx;_igu7b+x`s zdU4sl{d32fru?ag-q&_MH#favxJ~2P^*P_F!*chk{K^g%ct78D{>1q+R$F%dxEDId zJBek_#lMeYk~8Z!+eN<@eYNL<NUi(7gR@d!?DluF-G0vDdD+ex@eEZnf1O*%|J35q z-=hyCMNcGOOWOaPec$B7!n&1<AJwiqKPz7G+tj)<x9=Z0$R!!<lrL6QyLCmriF=KF z@1pmtFFJp1+E=vmu6RnC`!A&lDs_rE=NIK9i^TF)`L=bl<TwB2x*Vfe>~%G_;*#{{ z#JO2FKD4Cey!&O87+5RJW_0J=1m4+urt!XBELmYS#WV2j+jDs*jSm0$_h`bT{39XZ wm$q@~$9{{Q{+x5gGR>+<xpNn!a=kdQK-clAQB7<Ti}ZiSFB5Z<+*uhI0D9SOT>t<8 diff --git a/man/MorettinTb4.10.Rd b/man/MorettinTb4.10.Rd new file mode 100644 index 00000000..7da930d7 --- /dev/null +++ b/man/MorettinTb4.10.Rd @@ -0,0 +1,41 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/MorettinTb4.10.R +\name{MorettinTb4.10} +\alias{MorettinTb4.10} +\title{Preço Médio Mensal de Café no Estado de São Paulo} +\format{Uma série temporal (classe \code{ts}), com 144 observações + mensais, de janeiro de 1970 a junho de 1979.} +\source{ +Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries + Temporais (2nd ed.). São Paulo, SP: Editora Egard + Blucher. (Tabela 4.10 pág. 100) +} +\description{ +Dados sobre o preço médio mensal (corrente), MENSURADO + EM ???, recebido pelos produtos de café, no Estado de São Paulo + durante o período de 1970 a 1979. referente aos meses de janeiro + de 1970 a junho de 1979. +} +\examples{ + +data(MorettinTb4.10) +str(MorettinTb4.10) +MorettinTb4.10 + +# Médias anuais +aggregate(MorettinTb4.10, FUN = mean) + +# Médias mensais +tapply(MorettinTb4.10, cycle(MorettinTb4.10), mean) + +# Visualização da série +library(lattice) +xyplot(MorettinTb4.10, type = c("o", "g"), pch = 19) + +# Gráfico da decomposição sazonal +library(latticeExtra) +xyplot(stl(MorettinTb4.10, s.window = 12)) + +} +\keyword{TS} + -- GitLab From e1617dfa2b701bf8b350a6cb4c360eac1e9c5aed Mon Sep 17 00:00:00 2001 From: Eduardo Junior <edujrrib@gmail.com> Date: Thu, 22 Sep 2016 16:41:23 -0300 Subject: [PATCH 05/30] =?UTF-8?q?Remove=20s=C3=A9ries=20que=20s=C3=A3o=20j?= =?UTF-8?q?anelas=20da=20s=C3=A9rie=20Tb3.6?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- R/MorettinTb4.8.R | 37 ------------------------------------- R/MorettinTb4.9.R | 35 ----------------------------------- data-raw/MorettinTb4.8.txt | 13 ------------- data-raw/MorettinTb4.9.txt | 13 ------------- data/MorettinTb4.8.rda | Bin 309 -> 0 bytes data/MorettinTb4.9.rda | Bin 337 -> 0 bytes 6 files changed, 98 deletions(-) delete mode 100644 R/MorettinTb4.8.R delete mode 100644 R/MorettinTb4.9.R delete mode 100644 data-raw/MorettinTb4.8.txt delete mode 100644 data-raw/MorettinTb4.9.txt delete mode 100644 data/MorettinTb4.8.rda delete mode 100644 data/MorettinTb4.9.rda diff --git a/R/MorettinTb4.8.R b/R/MorettinTb4.8.R deleted file mode 100644 index dd825dcd..00000000 --- a/R/MorettinTb4.8.R +++ /dev/null @@ -1,37 +0,0 @@ -#' @name MorettinTb4.8 -#' @title Série de IPI -#' @description Aplicação do método de suavização exponencial sazonal de -#' Holt-Winters (HW) multiplicativo em uma série de IPI, com origem em -#' Julho de 1979. A tabela contém os valores reais e os previstos. -#' -#' @format Uma série temporal (classe \code{ts}) diária, com 12 observações, -#' em que -#' -#' \describe{ -#' -#' \item{\code{Zt}}{Número decimal que indica os valores reais das observações.} -#' -#' \item{\code{Z_127}}{Número decimal que indica os valores previstos das -#' observações, em t = 127.} -#' -#' } -#' @keywords TS temporais -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Tabela 4.8 -#' pág. 99) -#' @examples -#' -#' data(MorettinTb4.8) -#' -#' library(lattice) -#' str(MorettinTb4.8) -#' -#' fivenum(MorettinTb4.8) -#' -#' colnames(MorettinTb4.8) <- c("Valor Real", "Previsão com t = 127") -#' xyplot(MorettinTb4.8, type = c("l", "g"), -#' layout = c(2, 1), xlab = "Dias", ylab = "Valores", -#' main = "Série de IPI", strip = strip.custom(bg = "white"), -#' lwd = 2, col = c("violetred", "palegreen2"), -#' scales = list(y = list(rot = 0))) -NULL \ No newline at end of file diff --git a/R/MorettinTb4.9.R b/R/MorettinTb4.9.R deleted file mode 100644 index 496146ca..00000000 --- a/R/MorettinTb4.9.R +++ /dev/null @@ -1,35 +0,0 @@ -#' @name MorettinTb4.9 -#' @title Série de IPI -#' @description Tabela 4.9 deste mesmo livro, com a previsão atualizada a cada -#' nova observação. -#' @format Uma série temporal (classe \code{ts}) diária, com 12 observações, -#' em que -#' -#' \describe{ -#' -#' \item{\code{Zt}}{Número decimal que indica os valores reais das observações.} -#' -#' \item{\code{Z1}}{Número decimal que indica os valores previstos a cada -#' nova observação.} -#' -#' } -#' @keywords TS temporais -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Tabela 4.9 -#' pág. 99) -#' @examples -#' -#' data(MorettinTb4.9) -#' -#' library(lattice) -#' str(MorettinTb4.9) -#' -#' fivenum(MorettinTb4.9) -#' -#' colnames(MorettinTb4.8) <- c("Valor Real", "Previsão com t = 127") -#' xyplot(MorettinTb4.8, type = c("l", "g"), -#' layout = c(2, 1), xlab = "Dias", ylab = "Valores", -#' main = "Série de IPI", strip = strip.custom(bg = "white"), -#' lwd = 2, col = c("violetred", "palegreen2"), -#' scales = list(y = list(rot = 0))) -NULL \ No newline at end of file diff --git a/data-raw/MorettinTb4.8.txt b/data-raw/MorettinTb4.8.txt deleted file mode 100644 index b96af12d..00000000 --- a/data-raw/MorettinTb4.8.txt +++ /dev/null @@ -1,13 +0,0 @@ -Zt Z_127 -21614 21418.04 -19717 20724.74 -22133 21839.38 -20503 20603.24 -18800 19834.87 -19577 19338.89 -18992 18500.37 -21022 20678.69 -19064 19919.52 -21067 21059.73 -21553 21276.02 -22513 21930.14 diff --git a/data-raw/MorettinTb4.9.txt b/data-raw/MorettinTb4.9.txt deleted file mode 100644 index 6785eef0..00000000 --- a/data-raw/MorettinTb4.9.txt +++ /dev/null @@ -1,13 +0,0 @@ -Valor Real Previsão com t = 127 -21614 21418.04 -19717 20724.74 -22133 21839.38 -20503 20603.24 -18800 19834.87 -19577 19338.89 -18992 18500.37 -21022 20678.69 -19064 19919.52 -21067 21059.73 -21553 21276.02 -22513 21930.14 diff --git a/data/MorettinTb4.8.rda b/data/MorettinTb4.8.rda deleted file mode 100644 index 804294ab3ad900b128685ca468ed4e502e5385f6..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 309 zcmb2|=3oE=X6~X+gGXHtk`fXUk`mI=QWBEbj3Q?=uqZQgGpkQ{_Vuj3m#*f?Gu)m= z7dIy)Bs^p0^0J7Tn#XX7hi|&9?13*=cMAOCdd+B1tJ%h=q|Yw6{|fWN_{{bfyG{5{ z&1VU$pUR$fPJV^u`dPn{P4-#FY`ofk@kiB-hglzb4_sgSi7))gx#pkKA8%VPyt3*= z!OM$%>)U@N%jj`-HUA9fxt_tmDx)WEUlOk#^tK@N&~90WUcT@?<EEeCo2?vPU9>ql zXVOgWPudnT5)u^(CS5{&3nuM3a_35tLbSxHck%+<4L1c$eF9Yj#Ii&7ESzY$OIP(M zs{@xv!x=tKo(T*dEe3Dw4ICJ|#I8M=bL3Id3ez(N#YNs-iDri)b9Q#By3Q002>;8> Na72H)%1uTF1^}OGfr9`5 diff --git a/data/MorettinTb4.9.rda b/data/MorettinTb4.9.rda deleted file mode 100644 index 23b81ffa693cca5be73d43945cc28dcef42fdde8..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 337 zcmb2|=3oE=X6~X+gGXHtk`fXUk`mI=QWBEbj3Q?=uqZQgGpkQ{_Vuj3m#*f?Gu)m= z7dNLQBs^p0^0J7Tn#XX7hi|&9?13*=cMAOCdd+B1tJ%h=q|Yw6{|fWN_{{bfyG{5{ z&1VU$pUR$fPJV^u`dPn{P4-#FY`ofk@kiB-hglzb4_sgSi7))gx#pkKA8%VPyt3*= z!OM$%>)U@N%jj`-HUA9fxt_tmDx)WEUlOk#^tK@N&~90WUcT@?<EEeCo2?vPU9>ql zXVOgWPudnT5)u^(CS5{&3nuM3a_35tLbSxHck%+<4L1c$V-h<pf4XuxuI#kr;o(&f zyx6el%BC}q4tIYRo%Fd_)Jr5sl&AO1#aw+&J%*qK4XI@w2@NbhN-c^18yUF*wro&) qt|BJxyf(dU=H%!go>ZfQkvTg%Rb6L_23-Hg%wW*}!RR9+0|Njdz>aPJ -- GitLab From 8d16a1c5767114597de6677ef150e5d01cf82afd Mon Sep 17 00:00:00 2001 From: bruna wundervald <brunadaviesw@gmail.com> Date: Mon, 26 Sep 2016 11:41:24 -0300 Subject: [PATCH 06/30] Adiciona mais algumas das tabelas disponibilizadas pelos autores do livro --- R/Bebidas.R | 33 ++++ R/Consumo.R | 34 ++++ R/ICV.R | 33 ++++ R/IPI.R | 32 ++++ R/PFI.R | 32 ++++ R/PIB.R | 26 +++ R/Temperatura.R | 26 +++ R/Umidade.R | 26 +++ data-raw/Bebida.txt | 187 ++++++++++++++++++++ data-raw/Consumo.txt | 155 +++++++++++++++++ data-raw/ICV.txt | 127 ++++++++++++++ data-raw/IPI.txt | 188 ++++++++++++++++++++ data-raw/PFI.txt | 115 ++++++++++++ data-raw/PIB.txt | 127 ++++++++++++++ data-raw/Temperatura.txt | 366 +++++++++++++++++++++++++++++++++++++++ data-raw/Umidade.txt | 366 +++++++++++++++++++++++++++++++++++++++ data/Bebida.rda | Bin 0 -> 899 bytes data/Consumo.rda | Bin 0 -> 792 bytes data/ICV.rda | Bin 0 -> 571 bytes data/IPI.rda | Bin 0 -> 909 bytes data/PFI.rda | Bin 0 -> 675 bytes data/PIB.rda | Bin 0 -> 849 bytes data/Temperatura.rda | Bin 0 -> 686 bytes data/Umidade.rda | Bin 0 -> 1360 bytes 24 files changed, 1873 insertions(+) create mode 100644 R/Bebidas.R create mode 100644 R/Consumo.R create mode 100644 R/ICV.R create mode 100644 R/IPI.R create mode 100644 R/PFI.R create mode 100644 R/PIB.R create mode 100644 R/Temperatura.R create mode 100644 R/Umidade.R create mode 100644 data-raw/Bebida.txt create mode 100644 data-raw/Consumo.txt create mode 100644 data-raw/ICV.txt create mode 100644 data-raw/IPI.txt create mode 100644 data-raw/PFI.txt create mode 100644 data-raw/PIB.txt create mode 100644 data-raw/Temperatura.txt create mode 100644 data-raw/Umidade.txt create mode 100644 data/Bebida.rda create mode 100644 data/Consumo.rda create mode 100644 data/ICV.rda create mode 100644 data/IPI.rda create mode 100644 data/PFI.rda create mode 100644 data/PIB.rda create mode 100644 data/Temperatura.rda create mode 100644 data/Umidade.rda diff --git a/R/Bebidas.R b/R/Bebidas.R new file mode 100644 index 00000000..b12d016f --- /dev/null +++ b/R/Bebidas.R @@ -0,0 +1,33 @@ +#' @title Imposto em Bebidas +#' @description Dados sobre a produção física industrial (PFI), de +#' alimentação e bebidas elaboradas, do Brasil. As observações +#' são mensais e referentes ao período de Janeiro de 1985 a Julho +#' de 2000. +#' +#' @format Uma série temporal (classe \code{ts}), com 186 observações +#' mensais, de janeiro de 1985 a julho de 2000. +#' @keywords TS +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard +#' Blucher. (Série A8 - Índices, mencionada em diversas +#' páginas) +#' @examples +#' +#' data(Bebida) +#' str(Bebida) +#' Bebida +#' +#' # Médias anuais +#' aggregate(Bebida, FUN = mean) +#' +#' # Médias mensais +#' tapply(Bebida, cycle(Bebida), mean) +#' +#' # Visualização da série +#' library(lattice) +#' xyplot(Bebida, type = c("o", "g"), pch = 19, col = "rosybrown") +#' +#' # Gráfico da decomposição sazonal +#' library(latticeExtra) +#' xyplot(stl(Bebida, s.window = 12), col = "red3") +NULL diff --git a/R/Consumo.R b/R/Consumo.R new file mode 100644 index 00000000..883adac2 --- /dev/null +++ b/R/Consumo.R @@ -0,0 +1,34 @@ +#' @title Vendas Físicas na RM de São Paulo +#' @description Dados sobre a quantidade de vendas físicas na +#' região metropolitana de São Paulo. A tabela tem observações +#' mensais, referentes ao período de Janeiro de 1984 a Outubro de +#' 1996. +#' +#' @format Uma série temporal (classe \code{ts}), com 154 observações +#' mensais, de janeiro de 1984 a outubro de 1996. +#' @keywords TS +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard +#' Blucher. (Série A11 - Consumo, mencionada em diversas +#' páginas) +#' @examples +#' +#' data(Consumo) +#' str(Consumo) +#' Consumo +#' +#' # Médias anuais +#' aggregate(Consumo, FUN = mean) +#' +#' # Médias mensais +#' tapply(Consumo, cycle(Consumo), mean) +#' +#' # Visualização da série +#' library(lattice) +#' xyplot(Consumo, type = c("o", "g"), pch = 19, col = "springgreen") +#' +#' # Gráfico da decomposição sazonal +#' library(latticeExtra) +#' xyplot(stl(Consumo, s.window = 12), col = "yellow3") +#' +NULL diff --git a/R/ICV.R b/R/ICV.R new file mode 100644 index 00000000..d2245c06 --- /dev/null +++ b/R/ICV.R @@ -0,0 +1,33 @@ +#' @title Índice de Custo de Vida em São Paulo +#' @description Dados sobre o índice de custo de vida (ICV), na cidade +#' de São Paulo. A tabela é referente ao período de Janeiro de 1970 +#' a Outubro de 1980. +#' +#' @format Uma série temporal (classe \code{ts}), com 126 observações +#' mensais, de janeiro de 1970 a outubro de 1980. +#' @keywords TS +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard +#' Blucher. (Série A10 - M-ICV, mencionada em diversas +#' páginas) +#' @examples +#' +#' data(ICV) +#' str(ICV) +#' ICV +#' +#' # Médias anuais +#' aggregate(ICV, FUN = mean) +#' +#' # Médias mensais +#' tapply(ICV, cycle(ICV), mean) +#' +#' # Visualização da série +#' library(lattice) +#' xyplot(ICV, type = c("o", "g"), pch = 19, col = "peachpuff") +#' +#' # Gráfico da decomposição sazonal +#' library(latticeExtra) +#' xyplot(stl(ICV, s.window = 12), col = "peru") +#' +NULL diff --git a/R/IPI.R b/R/IPI.R new file mode 100644 index 00000000..5937ab1e --- /dev/null +++ b/R/IPI.R @@ -0,0 +1,32 @@ +#' @title Imposto Sobre Produtos Industrializados do Brasil +#' @description Dados de imposto sobre produtos industrializados (IPI), +#' de produtos alimentares, do Brasil. As observações são mensais e +#' referentes ao período de Janeiro de 1985 a Julho de 2000. +#' +#' @format Uma série temporal (classe \code{ts}), com 187 observações +#' mensais, de janeiro de 1985 a julho de 2000. +#' @keywords TS +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard +#' Blucher. (Série A8 - Índices, mencionada em diversas +#' páginas) +#' @examples +#' +#' data(IPI) +#' str(IPI) +#' IPI +#' +#' # Médias anuais +#' aggregate(IPI, FUN = mean) +#' +#' # Médias mensais +#' tapply(IPI, cycle(IPI), mean) +#' +#' # Visualização da série +#' library(lattice) +#' xyplot(IPI, type = c("o", "g"), pch = 19, col = "sienna") +#' +#' # Gráfico da decomposição sazonal +#' library(latticeExtra) +#' xyplot(stl(IPI, s.window = 12), col = "navyblue") +NULL diff --git a/R/PFI.R b/R/PFI.R new file mode 100644 index 00000000..2f8b85e5 --- /dev/null +++ b/R/PFI.R @@ -0,0 +1,32 @@ +#' @title Produção Física Industrial do Brasil +#' @description Dados sobre a produção física industrial (PFI), de +#' indústria geral, do Brasil. As observações são mensais e +#' referentes ao período de Janeiro de 1991 a Julho de 2000. +#' +#' @format Uma série temporal (classe \code{ts}), com 114 observações +#' mensais, de janeiro de 1991 a julho de 2000. +#' @keywords TS +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard +#' Blucher. (Série A8 - Índices, mencionada em diversas +#' páginas) +#' @examples +#' +#' data(PFI) +#' str(PFI) +#' PFI +#' +#' # Médias anuais +#' aggregate(PFI, FUN = mean) +#' +#' # Médias mensais +#' tapply(PFI, cycle(PFI), mean) +#' +#' # Visualização da série +#' library(lattice) +#' xyplot(PFI, type = c("o", "g"), pch = 19, col = "sienna") +#' +#' # Gráfico da decomposição sazonal +#' library(latticeExtra) +#' xyplot(stl(PFI, s.window = 12), col = "navyblue") +NULL diff --git a/R/PIB.R b/R/PIB.R new file mode 100644 index 00000000..f01cd74d --- /dev/null +++ b/R/PIB.R @@ -0,0 +1,26 @@ +#' @title Produto Interno Bruto do Brasil +#' @description Dados sobre o produto interno bruto (PIB) do Brasil. +#' As observações são anuais e referentes ao período de 1861 a +#' 1986. +#' +#' @format Uma série temporal (classe \code{ts}), com 126 observações +#' anuais, de 1861 a 1986. +#' @keywords TS +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard +#' Blucher. (Série A8 - Índices, mencionada em diversas +#' páginas) +#' @examples +#' +#' data(PIB) +#' str(PIB) +#' PIB +#' +#' # Médias +#' mean(PIB) +#' +#' # Visualização da série +#' library(lattice) +#' xyplot(PIB, type = c("o", "g"), pch = 19, col = "violet") +#' +NULL diff --git a/R/Temperatura.R b/R/Temperatura.R new file mode 100644 index 00000000..16fafb33 --- /dev/null +++ b/R/Temperatura.R @@ -0,0 +1,26 @@ +#' @title Temperaturas ao Meio Dia, em São Paulo +#' @description Dados sobre temperaturas ao meio dia, na cidade de +#' São Paulo. Observações diárias, referentes a 1º de Janeiro +#' a 31 de Dezembro de 1997. +#' +#' @format Uma série temporal (classe \code{ts}), com 365 observações +#' diárias, de 1º de janeiro a 31 de dezembro de 1997. +#' @keywords TS +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard +#' Blucher. (Série A7 - Atmosfera, mencionada em diversas +#' páginas) +#' @examples +#' +#' data(Temperatura) +#' str(Temperatura) +#' Temperatura +#' +#' # Média +#' mean(temperatura) +#' +#' # Visualização da série +#' library(lattice) +#' xyplot(Temperatura, type = c("o", "g"), pch = 19, col = "turquoise") +#' +NULL diff --git a/R/Umidade.R b/R/Umidade.R new file mode 100644 index 00000000..80aad19d --- /dev/null +++ b/R/Umidade.R @@ -0,0 +1,26 @@ +#' @title Umidade Relativa do Ar ao Meio Dia, em São Paulo +#' @description Dados sobre a umidade relativa do ar ao meio dia, na +#' cidade de São Paulo. Observações diárias, referentes a 1º de +#' Janeiro a 31 de Dezembro de 1997. +#' +#' @format Uma série temporal (classe \code{ts}), com 365 observações +#' diárias, de 1º de janeiro a 31 de dezembro de 1997. +#' @keywords TS +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard +#' Blucher. (Série A7 - Atmosfera, mencionada em diversas +#' páginas) +#' @examples +#' +#' data(Temperatura) +#' str(Temperatura) +#' Temperatura +#' +#' # Média +#' mean(temperatura) +#' +#' # Visualização da série +#' library(lattice) +#' xyplot(Temperatura, type = c("o", "g"), pch = 19, col = "tan3") +#' +NULL diff --git a/data-raw/Bebida.txt b/data-raw/Bebida.txt new file mode 100644 index 00000000..8b998272 --- /dev/null +++ b/data-raw/Bebida.txt @@ -0,0 +1,187 @@ +x +49.67 +49.63 +53.84 +57.49 +59.94 +54.51 +58.28 +63.46 +68.68 +69.3 +69.72 +69.88 +60.99 +57.48 +64.84 +72.92 +67.25 +77.81 +74.96 +81.57 +87.45 +81.78 +79.45 +76.84 +72.69 +73.31 +71.74 +64.27 +55.71 +59.83 +66.17 +71.38 +77.84 +77.88 +78.67 +77.4 +66.73 +73 +69.85 +64.22 +72.22 +64.64 +71.84 +75.73 +74.7 +75.32 +81.01 +73.99 +65.1 +75.69 +77.47 +85.84 +89.84 +80.53 +87.12 +86.68 +93.66 +91.55 +86.61 +89.89 +80.13 +73.99 +69.5 +90.27 +82.57 +80.37 +83.45 +83.13 +92.47 +97.07 +93.9 +90.99 +77.52 +86.95 +109.13 +103.65 +109.75 +110.25 +107.59 +103.5 +115.16 +97.86 +87.65 +83.97 +74.02 +77.01 +74.54 +93.9 +83.92 +79.09 +77.59 +79.39 +92.79 +92.03 +91.92 +82.42 +77.49 +91.54 +80.3 +95.91 +90.8 +92.46 +90.25 +90.58 +99.87 +102.06 +93.45 +79.19 +80.65 +91.97 +89.91 +93.98 +95.14 +82.88 +107.12 +115.08 +117.13 +124.46 +122.79 +115.55 +106.41 +132.93 +120.24 +107.2 +109.97 +106.86 +116.11 +119.69 +120.43 +128.39 +122.48 +113.13 +109.35 +107.59 +112.54 +109.17 +95.92 +114.53 +111.83 +113.36 +123.96 +123.47 +124.58 +113.65 +95.87 +100.02 +131.62 +106.44 +102.91 +112.5 +110.47 +117.69 +121.4 +119.52 +123.06 +109.85 +94.07 +124.66 +101.02 +102.78 +102.38 +110.99 +105.05 +109.98 +117.34 +118.53 +128.84 +94.29 +88.54 +113.61 +129.35 +97.76 +97.27 +100.76 +107.58 +114.39 +123.33 +126.08 +132.26 +95.26 +93.55 +134.62 +117.45 +115.11 +99.17 +101.1 diff --git a/data-raw/Consumo.txt b/data-raw/Consumo.txt new file mode 100644 index 00000000..0ede784e --- /dev/null +++ b/data-raw/Consumo.txt @@ -0,0 +1,155 @@ +x +114.13 +110.79 +116.46 +111.57 +120.66 +121.15 +121.27 +127.02 +129.04 +133.3 +130.6 +179.39 +120.64 +114.05 +130.6 +118.26 +145.54 +135.13 +153.35 +159.95 +150.01 +164.93 +170.37 +220.96 +134.26 +133.11 +147.84 +164.46 +181.86 +170.44 +186.64 +174.21 +181.62 +194.16 +181.9 +232.01 +140.16 +130.78 +119.04 +120.73 +129.81 +111.04 +122.75 +133.95 +125.41 +132.05 +129.54 +176.37 +110.09 +113.25 +124.03 +110.63 +116.72 +124.63 +124.38 +130.27 +119.87 +115.75 +122.44 +162.43 +105.89 +115.59 +147 +131.7 +131.32 +136.66 +126.43 +134.88 +128.26 +125.32 +124.61 +166.11 +116.25 +96.93 +89.27 +101.87 +125.57 +113.31 +109.39 +127.33 +120.56 +117.73 +113.81 +147.25 +100.15 +95.11 +112.26 +109.39 +114.2 +113.8 +126.47 +128.36 +115.71 +116.09 +99.53 +127.27 +87.08 +85.67 +82.02 +98.2 +96.44 +90.23 +97.15 +95.08 +94 +93 +96.09 +129.21 +75.39 +77.7 +97.34 +84.97 +87.55 +86.64 +90.52 +95.4 +95.2 +95.8 +101.23 +128.49 +85.63 +82.77 +96.55 +81.33 +96.91 +83.76 +90.19 +114.84 +108.4 +106.05 +109.71 +143.86 +99.12 +99.28 +114.75 +106.13 +110.02 +108.07 +112.52 +113.87 +107.84 +112.12 +112.03 +139.37 +92.24 +93.56 +107.37 +102.89 +114.78 +102.88 +118.41 +119.23 +117.36 +122.06 diff --git a/data-raw/ICV.txt b/data-raw/ICV.txt new file mode 100644 index 00000000..7d94f8af --- /dev/null +++ b/data-raw/ICV.txt @@ -0,0 +1,127 @@ +x +71.6 +72.5 +73.5 +74.5 +75.2 +76.3 +76.9 +78.1 +80 +80.9 +81.7 +82.9 +84.7 +86.3 +88.8 +90.9 +91.5 +93.4 +94.6 +95.9 +96.7 +97.8 +99.1 +100 +102.2 +103.7 +104.7 +106 +106.7 +107.9 +110.4 +112.3 +114.1 +116.1 +117.1 +117.5 +118.9 +120.2 +122.1 +124.2 +125.2 +126.2 +127.6 +128.9 +130.5 +132 +133.2 +133.9 +135.1 +139.9 +145.8 +153.2 +156.1 +158.1 +161.6 +164.7 +167.4 +170.2 +174 +178.1 +183.1 +187.5 +189.9 +194.1 +197.8 +204 +208 +215 +219 +223 +227 +230 +238 +251 +256 +263 +270 +275 +280 +290 +298 +305 +310 +318 +329 +343 +359 +375 +383 +393 +400 +407 +415 +424 +436 +449 +456 +474 +486 +495 +510 +535 +558 +572 +586 +602 +617 +628 +653 +667 +707 +731 +746 +778 +812 +840 +849 +936 +980 +1049 +1096 +1133 +1182 +1237 +1309 +1374 diff --git a/data-raw/IPI.txt b/data-raw/IPI.txt new file mode 100644 index 00000000..9a9b1043 --- /dev/null +++ b/data-raw/IPI.txt @@ -0,0 +1,188 @@ +x +84.15 +71.53 +72.55 +67.02 +72.61 +95.6 +105.12 +106.67 +96.97 +109.78 +97.8 +93.63 +92.39 +77.03 +66.75 +69.81 +73.01 +90.07 +100.8 +97.12 +103.99 +115.94 +97.8 +92.48 +92.14 +85.61 +86.39 +75.96 +73.53 +96.19 +103.02 +105.14 +111.03 +117.06 +104.21 +100.38 +87.06 +76.24 +78.47 +70.55 +75.14 +110.17 +112.72 +115.2 +111.23 +99.91 +96.85 +89.9 +82.1 +72.06 +78.65 +71.45 +74.93 +96.85 +103.18 +114.2 +112.74 +122.21 +111.57 +97.83 +100.62 +82.5 +76.56 +65.81 +83.59 +92.06 +107.18 +116.34 +109.26 +118.22 +111.21 +95.1 +95.41 +74.4 +84.5 +93.51 +99.95 +103.34 +115.93 +118.06 +109.83 +115.65 +101.47 +87.93 +87.44 +82.39 +86.54 +88.74 +96.92 +107.86 +116.07 +114.03 +105.72 +111.31 +106.46 +95.59 +90.36 +77.73 +93.38 +89.65 +100.53 +105.84 +115.23 +113.98 +107.98 +107.94 +107.11 +95.89 +87.9 +76.12 +90.34 +85.33 +99.31 +107.17 +115.51 +126.9 +117.71 +116.51 +109.81 +99.9 +95.68 +84.69 +102.81 +89.73 +104.3 +109.88 +119.3 +125.92 +121.31 +131.09 +127.37 +115.37 +110.74 +93.78 +100.79 +99.53 +115.55 +115.33 +133.29 +135.62 +126.63 +134.93 +121.51 +109.79 +103.95 +88.2 +99.46 +105.22 +111.99 +117.25 +132.74 +136.36 +140.65 +143.1 +121.2 +111.36 +101.67 +92.32 +102.13 +102.57 +112.58 +125.52 +140.47 +138.75 +135.9 +135.16 +131.06 +112.08 +98.9 +89.77 +107.46 +104.98 +126.52 +129.81 +136.54 +148.31 +143.41 +142.99 +130.43 +115.05 +100.13 +99.9 +105.38 +101.96 +116.19 +124.66 +131.1 diff --git a/data-raw/PFI.txt b/data-raw/PFI.txt new file mode 100644 index 00000000..4740adf2 --- /dev/null +++ b/data-raw/PFI.txt @@ -0,0 +1,115 @@ +x +77.87 +89.99 +101.29 +100.33 +100.93 +112.08 +112.72 +104.7 +112.51 +100.19 +91.35 +95.7 +90.16 +93.04 +89.22 +97.99 +99.93 +107.43 +105.25 +101.94 +107.38 +107.82 +103.73 +99.17 +88.89 +103.11 +92.44 +99.53 +99.92 +106.74 +105.81 +106.5 +108 +112.13 +104.53 +96.95 +87.13 +99.95 +91.34 +99.31 +102.42 +107.87 +121.35 +115.68 +114.17 +116.8 +112.32 +109.09 +98.53 +118.25 +100.28 +107.92 +104.52 +113.43 +120.46 +117.54 +127.95 +130.12 +125.18 +125.79 +109.31 +114.23 +110.96 +117.18 +107.31 +126.17 +128.15 +124.97 +133.43 +127.39 +123.41 +120.05 +100.77 +109.12 +115.78 +108.92 +114.47 +127.97 +132.92 +139.46 +142.92 +129.09 +123.92 +115.74 +104.87 +118.48 +109.77 +107.48 +115.01 +131.47 +132.63 +131.54 +132.66 +126 +120.87 +109.5 +99.64 +120.22 +113.17 +115.72 +118.98 +127.28 +140.42 +139.51 +137.92 +134.02 +130.08 +114.75 +113.62 +118.37 +109.86 +117.23 +114.89 +121.85 diff --git a/data-raw/PIB.txt b/data-raw/PIB.txt new file mode 100644 index 00000000..b53d5263 --- /dev/null +++ b/data-raw/PIB.txt @@ -0,0 +1,127 @@ +x +4.57 +5.04 +5.18 +5.35 +5.71 +5.65 +5.14 +5.05 +5.61 +6.48 +6.56 +6.55 +6.72 +7.71 +7.88 +7.98 +7.3 +7.32 +7.38 +7.88 +7.62 +6.86 +6.65 +6.54 +7.02 +8.07 +8.94 +9.25 +9.59 +9.64 +9.35 +9.15 +9.38 +9.14 +8.8 +8.12 +7.33 +6.89 +6.98 +8.08 +9.14 +10.17 +10.48 +11.34 +12.47 +13.76 +14.45 +16.01 +17.81 +20.56 +24.29 +26.75 +26 +22.91 +20.84 +21.07 +21.96 +24.6 +28.47 +30.39 +31.23 +33.76 +39.11 +43.6 +43.64 +44.83 +47.51 +54.28 +52.51 +47.99 +39.45 +39.4 +42.44 +51.18 +58.04 +63.79 +66.35 +68.54 +67.43 +67.53 +65.07 +66.03 +66.3 +68.24 +75.01 +84.48 +87.3 +93.76 +100 +106.44 +112.83 +115.7 +118.59 +130.57 +139.59 +144.05 +155.71 +167.7 +177.09 +194.27 +214.28 +225.63 +229.02 +235.66 +242.02 +254.37 +266.58 +291.37 +317.59 +347.77 +386.9945588503 +433.6211715481 +494.2927069311 +538.9580916864 +567.0479370566 +624.366405312 +652.7093123522 +683.4563052574 +749.8217282154 +799.6116117882 +772.8503401856 +779.9360669456 +760.1972566855 +803.5340676733 +869.8994906313 +941.2628815718 diff --git a/data-raw/Temperatura.txt b/data-raw/Temperatura.txt new file mode 100644 index 00000000..b34dbe79 --- /dev/null +++ b/data-raw/Temperatura.txt @@ -0,0 +1,366 @@ +x +18.4 +17.4 +17.1 +16.6 +15.8 +18.5 +17.3 +18.7 +19.6 +19.1 +18.9 +19.6 +19.5 +19.7 +20.8 +19.5 +18.5 +18.6 +17.8 +19.5 +19.4 +19.7 +19.4 +18.9 +18.9 +19 +18.6 +18.8 +19.6 +19.5 +19.5 +20 +19.4 +18.9 +18.2 +19 +17.3 +18.7 +18.1 +18.5 +17.1 +17.4 +18 +17 +18.1 +19 +18.6 +17.2 +19.2 +18.3 +21.1 +19.1 +20.1 +19 +19.3 +19 +17.3 +18.4 +17.3 +17.1 +15.4 +17.4 +16.1 +18.2 +18.2 +18.9 +18 +19.3 +17.8 +18.8 +18.3 +18.4 +18.4 +18.3 +17.5 +16.8 +15.6 +16 +17.3 +16.9 +14 +14.4 +15.6 +16.9 +17.2 +16.1 +13.6 +14.6 +13 +16.3 +17.6 +18 +18.1 +17.6 +14.8 +14.9 +14.4 +14.2 +15 +11.8 +12.2 +14.3 +13.2 +14.4 +13.3 +14.4 +17.6 +17 +16 +16.2 +16.3 +16.4 +15.2 +15.7 +14.3 +14.6 +13.3 +15.8 +11.8 +14.3 +14.4 +14.4 +14.4 +16.8 +15.4 +13.8 +11.2 +14.6 +13.3 +14.8 +14 +13.7 +12.6 +13 +12.6 +12.3 +13.1 +13 +13.5 +12.8 +13.3 +15 +11.8 +13.8 +11.2 +10.6 +11.4 +12.3 +11 +10.6 +10.8 +8.6 +6.5 +8.2 +12.4 +14.4 +14.1 +11.5 +5.6 +7.2 +9.5 +7.9 +14.5 +11.6 +14.4 +14.5 +12 +10.9 +10.2 +13.2 +12.4 +13.1 +14.6 +13.8 +14.7 +12.7 +14.7 +13.3 +12.6 +13.5 +12.1 +11.8 +13 +15.4 +14.6 +12 +13.2 +14.9 +14.8 +13.2 +12.2 +11.5 +12.8 +13.9 +12 +10.4 +11.8 +13.4 +12.6 +14.8 +12.6 +12.8 +11.8 +12.8 +13 +12.5 +10.2 +11.6 +8.6 +9.3 +10 +13.2 +11.5 +11.6 +13.4 +15.1 +11.9 +12.8 +14.2 +10.4 +9.4 +6.6 +8.3 +7.8 +9.6 +11 +10.6 +11.6 +11 +11.4 +12.6 +12.4 +9.5 +14.8 +15.5 +14.3 +11.8 +11.2 +12.4 +10.4 +11 +11.6 +12.2 +10.6 +11.3 +12.2 +14.4 +16.8 +13.9 +14.5 +13.4 +15.9 +14 +12.3 +10.8 +14.2 +18.2 +13.6 +12.8 +13.2 +11.8 +13.5 +15 +15 +13.6 +13.2 +14.8 +14.5 +14.3 +14 +15.5 +13.9 +17 +17.9 +14 +12.4 +12.5 +15.6 +14.8 +14.5 +15.1 +15.6 +16.4 +18 +16.1 +17.1 +18.3 +18.1 +15.1 +13.4 +13 +13.4 +15.4 +15.8 +15.2 +15.7 +16.3 +16.9 +15.9 +15.9 +16.9 +18.9 +19 +18.8 +18.2 +18.2 +19.6 +18 +18.9 +19 +19.7 +18.7 +16.9 +18.1 +20.1 +20.2 +20.8 +16.3 +16.1 +17.2 +19 +16.2 +16.1 +15.8 +18 +19 +19.8 +18.7 +18.6 +18.4 +20.1 +15.1 +13.5 +16.1 +17.7 +18 +16.6 +17.4 +16.2 +16.6 +18.8 +18.5 +16.2 +15.4 +16 +18.2 +19.7 +19.4 +20 +16.2 +16.2 +16.5 +17.9 +18.6 +20.1 +19.1 +21.1 +21.1 +20.8 +20.7 +21.2 +20.3 +19.2 +21.6 +19.8 diff --git a/data-raw/Umidade.txt b/data-raw/Umidade.txt new file mode 100644 index 00000000..820b43c6 --- /dev/null +++ b/data-raw/Umidade.txt @@ -0,0 +1,366 @@ +x +78.58 +77.63 +78.56 +85.52 +83.36 +83.6 +79.85 +80.14 +80.9 +87.69 +86.85 +86 +83.76 +89.09 +88.92 +93.4 +84.54 +78.9 +77.38 +82.29 +87.36 +83.46 +86.51 +85.95 +86.38 +92.48 +94.45 +87.75 +81.21 +77.47 +76.79 +71.88 +80.4 +80.98 +78.05 +74.75 +79.38 +80.65 +77.52 +79.02 +81.86 +79.74 +85.22 +81.98 +78.24 +86.21 +89.86 +82.98 +83.43 +71.75 +70.63 +87.81 +81.47 +85.07 +86.91 +83.89 +79.88 +80.9 +85.37 +80.27 +80.61 +85.91 +84.09 +85.37 +83.63 +79.66 +81.97 +82.3 +80.65 +80.66 +71.64 +77.24 +83.28 +89.95 +88.57 +82.27 +83.4 +78.75 +81.99 +80.96 +80.24 +83.51 +81.12 +79.88 +80.21 +76.59 +77.97 +74.61 +81.62 +86.79 +86.16 +79.6 +74.37 +70.21 +83.69 +83.39 +84.05 +84.47 +81.89 +79.26 +79.87 +78.17 +74.79 +75.47 +79.23 +82.87 +84.63 +81.83 +75.35 +84.37 +89.58 +83.62 +84.07 +81.49 +71.58 +82.96 +85.66 +64.43 +63.88 +75.06 +74.41 +71.72 +78.2 +85.5 +82.1 +83.85 +82.51 +81.12 +84.9 +82.27 +82.7 +79.16 +83.28 +83.53 +78.72 +82.12 +82.21 +80.18 +77.14 +72.47 +66.43 +76.07 +84.41 +91.48 +93.66 +88.38 +82.93 +92.75 +83.53 +93.76 +89.74 +87.93 +85.07 +88.29 +89.33 +94.8 +83.59 +67.23 +60.36 +75.11 +83.02 +71.93 +79.89 +78.99 +88.19 +89.59 +68.11 +73.99 +86.45 +77.2 +95.31 +79.76 +74.54 +70.38 +69.92 +72 +64.8 +80.02 +94.88 +95.11 +95.5 +95.48 +77.92 +66.34 +71.08 +86.3 +78.48 +83.21 +80.78 +77.51 +74.37 +75.01 +88.97 +75.05 +71.21 +73.24 +72.28 +86.92 +91.51 +72.66 +80.08 +90.29 +79.24 +81.73 +85.51 +82 +81.25 +79.79 +75.05 +70.84 +66.34 +58.46 +64.16 +70.7 +61.7 +76.67 +94.87 +86.6 +73.86 +93.46 +88.26 +83.4 +80.34 +74.79 +82.8 +78.83 +69.1 +60.38 +62.11 +63.67 +57.02 +61.18 +88.23 +85.77 +92.28 +89.11 +80.56 +81.11 +78.78 +69.36 +74.83 +82.31 +71.9 +62.99 +57.89 +56.47 +61.58 +82.25 +82.67 +80.51 +64.19 +53.34 +91.15 +90.51 +84.46 +70.23 +79.39 +95.48 +83.16 +77.52 +85.64 +83.17 +95.33 +87.29 +92.23 +87.41 +73.61 +88.55 +95.04 +90.89 +81.73 +92.22 +89.41 +93.84 +74.43 +87.17 +78.8 +68.98 +92.97 +91.49 +92.36 +83.86 +73.6 +78.7 +79.08 +76.94 +83.98 +77.31 +91.12 +91.59 +85.02 +85.31 +94.03 +95.79 +88.52 +87.88 +75.99 +85.64 +88.25 +82.37 +74.24 +72.74 +89.33 +85.8 +81.63 +75.91 +80.58 +89.97 +90.18 +81.97 +86.81 +83.98 +72.96 +81.23 +70.34 +73.6 +79.52 +90.09 +93.37 +93.43 +92.83 +94.42 +93.81 +89.25 +79.98 +84.09 +87.86 +85.8 +87.73 +85.59 +85.59 +90.74 +83.5 +83.44 +87.22 +88.49 +77.86 +91.9 +76.72 +78.89 +83.08 +86.93 +80.81 +77.76 +83.11 +86.19 +87.2 +79.73 +80.95 +84.79 +83.72 +90.38 +77 +71.04 +77.29 +69.47 +64.53 +82.92 +83.12 +77.15 +69.42 +78.35 +75.47 +71.41 +79.94 diff --git a/data/Bebida.rda b/data/Bebida.rda new file mode 100644 index 0000000000000000000000000000000000000000..5a6db66791492f79e1998797d05d2bfbab819db8 GIT binary patch literal 899 zcmZ>Y%CIzaj8qGboa~zThJmr9{{R24Z)X3hi4v;4|NsC0t@%IK1$-#qH`n6&tZRN( zt8AMuJ21`hF<cnYvf!)F?0|zjy}S%kQVbV(85kIN*%VCJ8W>-hFk~(;VOHbNnr+hT z>^4i(U{>-K=PNutEGKw+W*YdoIh;7zz{ulp#Dt9_(L~a~$Kk@sWwVk}cukB<j4~H4 zxXd}>h!HbOl2Ha*GfR?zuSo(&0!zwewH}EnPP4O8?VT7UO^#ehTOh?C#q2Z7$f&A; zfq~f}*KtdRudQ1zTTd_Bm9Hj~x8Dt{4F6KKZ&uG9hlxs4?OwAlbqG-q$_tp#si={$ zfuo~A@is%{>^olK8zb1R8ml=P>6|&L-68hH_0qS(hJ7wp4ZF4{=oN81zklxF#_m%s zj?&TW^LIV;DxLpzQg+0|7(sE9yG0ESj67N_JC0;AsO?$ztMFBT09%@1H?yWc$BG?g z8!pdM6<~B}lby76wTK@B!{*;_Ht)AOxG;$)PT>{Xy4%zEEH5x{D88+U>ECvCi}PuP zjH`c^zi)fIhI2xMH`Di&0$=xnrxLoqj2@Rx*0>m&lErkyyXxD6#HFdXVrHBaKCZNO z)|}^3Z#QU2I-GIiYL}~HjWK%JaHhc`N$1V)_f1b6oSE}CO>U4`)T-+AAmYH~o;}SP zDhkK6Pp!GU%xba2WbO~WAsbc)>|4$7%j%Wy(Pz)Xf9&P`>@D-C_wsw+V^3bsZI%?` z*|jse;E@W)3i&Vh_CMY9Jo1K4$$>@}F1C-2f*0AA3b>Ur&UF#Lz>txDgE_kFK(k%J z>1}bcjVcEfqFobQOgucl_$g19*sy-@tQwBkNj@h}daXRBq%!SgsOe8;=U=H63|&dv zIiLKf`l=qh-K|gH;pdkPQx`F&yt7O0Ke43Q{e9c5=By_lc&47-d$@o}%Y6Q#;-Z?$ z;I<S2##Mduds7V<qSdM%M_IhRvw?MX(2=dTIA+~Cxx}wQxF$fw)>B>Jqsp<;_cPVy z`5OF~Tw85byeb>SpVe1|$Q%mrV3Mg>DH+nGn<i)>pK!ynJj0hi&5?zxTb8LYG*tEO zH323e2L7iU9R68a6RNo!Cw7Ob*!*z3WWBuQUPB-w_oO!yy(X(lb9B9bzIOgP^Cfco zUs-jyymBoq?EB|xz$T~jSCos1Lv7!}hSbbi-kL>!h3>LQ>&B#Yw^%G|U_YSuq^n?| JqFUGC8vwrWh++T$ literal 0 HcmV?d00001 diff --git a/data/Consumo.rda b/data/Consumo.rda new file mode 100644 index 0000000000000000000000000000000000000000..6783fd0b4b66b30d281486306ca83c28c1a87a45 GIT binary patch literal 792 zcmZ>Y%CIzaj8qGbd?t{&m4VUe|NnnKkEO5tX<_a6y8i$F`|odLxgM}zlUU_jeO&2@ z9-nuo1C!0`ygWyqm5Vaem!ukNeDN{4;JYNn*8i%6PgY75li6YxX%8bdU#Yr@CMK7^ zh~x^+TTnHVXZa(a6Gld}8ZIy}Fqot;Ab_CSya~als(Kn27#FZL3tV834i;dzV3fhj z)?moMz`&?9<&yeBTYu-^ugVUYiv^gS9WF4KE$cD0b-r@qkR*TLvYvShOc)p#UquD( zm|1!E&pV4t)?r&Kzs4wK&z4?4k*StbZ^;x^wp0U=oV8gD7gKl^P7=tzCZM_{vPU{u z{Xl^XW6`b@2S%4J2j+9E=MENxq;@gv_&#~%*}?}7+#)lUZBkmXdY{6>*r(?@S$;gb zaqY>Hsvh~aXPRd`W+rOS=XyO|O?y|o{kGHqj<9e?p=nk7111#QdU|c@EjO=xIquC* zZhZXpcO3(h?A|MLmSp=BpPlX0zSsTQnNQnZd{kHPSnn(oXxq>=F<XIoh0@F^B0L*r zHU??l;?(;0M<Hd6S%406<I)@a6T^(1q}!b{1&tLt8@en6B^oVnTHGpmvnZx1LQ~Sz zW#N&RtpcSNOuHBydT*^#oH$k4?2w=Rn!RqZ1~xk9Z(a3vmH$%Ryoe`a^@c-1IT8i` zbNn}6xb%JN)O{;iUL;>>Ur@aAU~r<exMIi7^xDSehzFfMg5DL44xZvY9v=-f^B;t6 zOjJAi<=ku`RXdsOT;`v42Bt@(xKH%+*>>fKLaSuk<Y&SA_J=Xe?KEPrs@*N~J27S@ zn^M8FicN1PX_c+4{j8C1@<K>%&DK9DO8nwX4$SEr9EJb$p7B>)Zg@aEv_Ek7P5#x} z&Ri?mA)>&w`??7uGwWRWZ?!5~ye)jI#NI14D%M_GA3f8mIBPdUd&wc*CstwkuZ=3A z!=EfwyTZV+Zt-uScXszx{;R0EMiw@#YWS$}{M){=lFofvy1N-pO#8<x;E<}o{cEdI u=?xX{*0bLdEj5)^?3z9`K3LD?++7bL0kJ8$zW#q=Pl`Nra-QM1><R!(30OD) literal 0 HcmV?d00001 diff --git a/data/ICV.rda b/data/ICV.rda new file mode 100644 index 0000000000000000000000000000000000000000..d16ac89f4c3450eef53bea44ad31e7c16f8eec3c GIT binary patch literal 571 zcmZ>Y%CIzaj8qGbT&BSj!N6Gb|Nnne4;M$52nFAi`v3p`{r~^>d%dBf3`>fqn}dTV zOM;>U<JP;&4wz{A`}#Cw@HDVBn4Gw9*}>pMkHU!)42%mTW(U5Kx#cUriYZ~H0RxM~ zOddC;1O_!9&PEA=18$7`fgubGybKH`%nrN^Ai%7^z%V7mr`c^*h6%&P&IN`HDHo*J zX7V!dv@tQ9U??&DdE2IR(ccy&4vD0eHVvyF27zhXA6UM3II*U-FgVmP^uA3J(2AE% zj7>h3oxSt>jDNl=O?$Wfy6N|U>kkuyjS)Y;ESpltqp0P7PB3zKaVRz{3e)0Y41A$g z-ck97!BBgO@zGt0GuzU_1RNV#(i{W>!>r6~W0M(NCPs2JUQ_5w$bIP+w=vuEm2>iH zC7t_{k%e!~)m2Zhuw9=$W%bP<=c(bw*KYl(oqKPuK%iZ})4@5icN@ywQxh*vWlMAj zkeqs4l<~NzW2mF3pw?-f+*vcMzX*w$?%im3Pf|<uQ)k(twDn5uP940nOTYP47e5S9 zR`oNr2<2|!I3u8z5S*$}vS`)k%b`1KB$xy4&G?Xf{!-8R*0~bOvu3l+>-4rabrM;* zfN|pqqn_V)>u2hASQ!aCIThe+pyA}0Z_6+xRlcQx`AR77EslkMV<sA;+;N)iS$}r+ zJ*UiLEdSF#FFI4m6l2vdZ+yXpQQODpQhgm;XzKE>E1TQP7(|pj%H3OQw=IhI$>MA4 X=J7pPJ+r|6=$(mvA}X3)%wh}xo$BAx literal 0 HcmV?d00001 diff --git a/data/IPI.rda b/data/IPI.rda new file mode 100644 index 0000000000000000000000000000000000000000..e077ebee3235c628d665f3a1d463b42b3a0957cc GIT binary patch literal 909 zcmZ>Y%CIzaj8qGbl=~O-nSrsW{{O%K?;Kx!ooQV2y#D{s?{(Gs<!zt;6rRYiyw5f5 zy&m`f156D!4o{9T(r{b8<V*17U{gu6W&Xj=&H|ZRd5zdErA_QO!C;iZxLAPAXP!nz zRj<i~s%GDn%>i8*Qap==FKM<dQ)b|N(b#0bz`(%Jqc$r+m_eB1#AS{PC+;nnA*sGe z<!?aBg$rg2E-+lUAeCWaXmWvpS<P39;et`Z3}?Xw85t)hNU^a^^>@l#<}-_dfq_|p zS#bda0|SpjQWE2W6ATyR7BEQJy3O`?lhtjVJ=LVYyX9cBTNAVPi6>iT<q9M#2uzqD zDB~c)!gxWT{2=E$28Fey9wECzLqkFw8Z<MPw>F$I`|5H3Rz(EsD~}1=rk#&q?)3ho zkQf*KJ92Kzl8LF+jw^QUuJ?3VA9<YNVr72rMyv8^YbPZH?YzgJTDO_OefH<GITPY6 zo`zVgIxgE#Y_hIGtEY+G^V1bo@2M>e`s<36IVagGzjk<Vz>ksn?c&o36T8{Ay<f2K z*oqQ^2VWH<7ED^^GJ%nGhlh5A9OJJ)0!wV1ELR3~OcLxfnxJ12;>*aa&o9i)x!J^Y zWwhTr28m;-lT9vrt=q+`)zHNyvaICA${+lSj)rS0)J`q9eXY^RF2d7VV6I%4$3%gu zz|PVuAt!BfR&$!fDV<J<O`Oqb@G+F<z@?f+ECv^)d6f<|drCePX!O--N=f4|Hd=iD zXx9xDbu-qr(faRo3I*ggzZd=W>*J<XoQj(oM4m5TV-iejXwZ1HPD-$l(^KW!rVr^Y zYgyQum|7+#wJ_XX<x_IZL2Km|h28s9o;>_}*-Cm(gt%zH>sj09?>uwltYqE))CDR# zV_7wdvYB$0hVR*N*EXqFK6<jXX7Yop8#o1Zk9hHXVm`foLUQv1!J<Vab7ekx)EC6{ z?&=p%sI{0s+v`pP)A`JY``M%l+ox`4`ujp;uB?Z*(tp!k4hoGj!tDwSB2DUBGI<%c z%SsqAUb?~ZCjP=74~buz)ux@kLVTY@O|73_u}V01Lb5pZ)Pyh13GMOOLQM9aEzMd! zQ)bWEJhzQCi;>4LWy=}+DGq6|*Oxsl5&o{D^gL(P0|wUa*7}!qpHJH@ZeX|kU%Y;+ z)<&7aBe9_iIo_3c@-XnfI+`z&k-p)~TwZZb#pU$}UV2U1{QOLXgP>w|sjDWlby#d~ Tj8w*x!g7`1R!+wEPxTD|^E8C| literal 0 HcmV?d00001 diff --git a/data/PFI.rda b/data/PFI.rda new file mode 100644 index 0000000000000000000000000000000000000000..dcefee38eb9c69cc65cd304e14605319f0b31d17 GIT binary patch literal 675 zcmZ>Y%CIzaj8qGbeDP&%H3P$s`v3n*)7U?xTHLSyS^fWK>)$ztgpW;rBYnU*;+pnt z1>fa!9T@Mdd-iHYrrU}t^@Ti*6POjGq!^?aF0eH)NC#Y8z#oud>(+4b(Yy{<lb&8f z+u)Nn6EgS%7;ZHfnWQkjVw}J@;j&MI6hoqfn}9&wvaGDCSyjsZ!GaSf3;WD8P&je2 z!{kJgp^=e^l#x-!$%#z~KEfQFDxGEvW>sara+??I@3~BEhOj_N!Ym0l2Ll#cw+5*M zHI9^9v#Ol^gMRDXzxd(AvVAMsIs=x<E<SW5eQx)Ij?0TUOCuCh8fPp>C@=_S*3a89 zC+XuHzNEdAXUy}Nm!V{FI7Lv(P4Kx43oB!JcBX_t?UZJ>_Sp-B40L6Vcf9<q#9;iS z>6!rlypIxs(nmbr>=C<W^tZpM>rQ2;)8t-Hap}b@Vo4{?|K2lk>gVZOU(dgwrl@)R z+AH_^7G@T^`GTzq9EXCE_bDq+mwLd)(ZY1$&~zQ1f(d>BEollWt;)jQlFv3VO=nzm z+s8SMZMj!rs~$63WwOebW5r^bn}j@+4sd%oTzJjawYrFP#l{1+=}V^UVc=-!-8F5= zZAIyzpesiN94xoIa!buR8D4p3LYJFcr+L-|;Ws=g!f#X;95JuG#Jv9L>A2b3tJqg= z{r3Ho<`d4t7W#tkd9~uN2Ay7B$8=nP<-J(#riH(*{?D*?`Q4y&#ZmS$v)^;x+xkn2 ze<r(^@P`X2ZWBM2@W8odcjm<|PL;=!&IU;gX0zTfs_b33R{kynL(0d?#Re>?&-S!x zrL1*i`?B-)u6HX%rwHYo6RgjBSFdl!@<q11WLC!h$xW};q+GRRaJi$$Y7{VS(vcPp lM#0IOn_C?ws<+83VAWEKHB?(U`=8#Eu7ZV%7hgtw0|4>)Cb$3q literal 0 HcmV?d00001 diff --git a/data/PIB.rda b/data/PIB.rda new file mode 100644 index 0000000000000000000000000000000000000000..1e9f5199db29304e4406dd08e66454fdec9b6a59 GIT binary patch literal 849 zcmZ>Y%CIzaj8qGbJXE@EG6SRW|Ns9AzuW(P`#=2uzt8{whyRcM|9kGX_j|R|{`>7% zp`U+ztpk%n2ZL9Z<|LsU_f-kP>aToesIfVFK2hK5xW#Bj<|2a&ylxErp3T9=A(_9H z`LH>dWG;N=f2r-tr_9Ays<I?)8P#8L?qy|w0cN)b1_ova2$zxB*{vawalr)x1%?Y! zDQpb~6pS(#FfcCTTsA|&DC2}lA_JQ<N9Kgag^L{w8ZKl=2ry*u8ZkR02uPY-U|_h+ za@j{f(j-O7pn+Mj#pFbL{hg)fvpy7x_&SMnELrL*eRs#*1IrKa1~o-7^vvdIJkb1* z<=XKnh3!7Ut3@83w9e*m7F{H8sNK|7l>6MTgs#;gOT>gFZt69q<(h~@ix<9nZ9gT3 zapCHcDF+2-oi+O#w#@Q{-O>y(4bAnLI*)jqW-`0El!U&WyUKOFvBGaPEtP;T+XQ&` z__%IAziapRXZyU)zF9dVc}GdUvfK5d6|)5!&sA$NsVa24Y}gz1Fd;~>P5Q{eg;%dX z%dmRya<DNn^t6l6uLX)ai-oMq8#N?+eB!oiIXi_%3b?5LQh4&T#Zz!rrlMh?6O+TG zPzmM9EC*Uj9_cdhWpTO*zE<HY)-q-9_<Tr+sllCt&%!&Sv?wzA=ihIKH4jdCx$*Q* z)pC2|&(Zb#IVtT`Ix;uebn9=HmByU)>N@M7X7!)>$s*1?gK4_Pb@h6in*S~CICHne zT&i);rP#$Uc6<*G6@NW%W{1FrsaLyuON&>QpZgQ~_RedCj)v=Ju6i|}&wKRLWUJbS zgRe^0Dlt1X#A)nvJb&|f-hHdyyMK3^C2c(5;#i*ZchC8`Utg^@t@>1uXR_+)TT=r8 zALpuxTMs6g)MfwE@oqD-n4Q1<&TqaG2Y3JeTxuS5qEY7G$F#+Pcax)cmCOCpKDZ`d z^Zw762k)0L>N2OKrW*ZU^Hw2kTi-dwrr%7t{K<b#S3dig9QM#qQaIqaw`k$asjsFT ztk=@3wp)DbFzc81{99KkpLiO+@<Ky=u8J@7lV2w5PsgOnu|!*b`*-rjom`jOvmVUe zyuRiRU#ou<Tk@^u?GNVKz3Tf^l`P*@Tqk>-(Oy4w+2kcE)kp74^b=7rn47!g000|p Bg){&F literal 0 HcmV?d00001 diff --git a/data/Temperatura.rda b/data/Temperatura.rda new file mode 100644 index 0000000000000000000000000000000000000000..47ad514e77853a32e08bfd319c2ff1aa79f2cb74 GIT binary patch literal 686 zcmZ>Y%CIzaj8qGb^f<BM2Ltoe|L^}<I-30d|F6M?MZ`gyEuO)Ffx)1Ifq~6|fsuiM zIe=MxN7*}>#MQheN{YTKm%sFVDlITM*H+Wy*yJl_S9)!hPm!w9nz!Oa2CtM91G57I z1H+V0O9j~)F1|8hU|?WiT=0y6b20;G%Rz%Sh8_l$DObR17#J9M1X=G+`LlZ629LJ6 z4ll2mvbN2<r<S?fdHunUHi?sW$K<`-Rl!;)rgP#%g1fA!s)A~Z0z*WJZc1IPyF~+s zPYc^MJ0sTINes1(4^j&xD;)MQxEt~>Q+J&-r7K1<O400DTG|C;^UaZ)bIgL2HFSG; zy|#*UOyn~Sa9X6P8M11N#U{gu$y2syoa*X0$`|M)!n<u&c~PuOs9|{D?0~m>+isL5 zD4E=S#CEKBUcrk52Kkwa--LuGG^897kaw|FDSLP0mFeuK8lEaCZ(I~v&%Eb2_A5Oq zQlz<4V&&z#m(CpSJs`L9PQ{&|W2rt<wRH}LdCpOsb2M{N(aLEHV`c`6i>{jYZd!Q6 z65k#rL#+_4u0UR$H7h+{Uf8kZQYuqZ7Uy;jA*M`Ag@X(a_~!I*%4qp6e)f0=*9C{A zM(Tk)%^lK<L^W5;QFzg7xWvgrJ@56ps^>Zvo<@gua!*~l`)xZP``7o|4>E8x&u}?h zcY6DGy{|m=)%uOS7bBM(7A+FvJXi3VO^l%;^YOlaK6l#Wgu?c#1=(4KG&V3YFu!V0 zt*&@3_DgE@n`+&y3(~`9#&R1yF6(>IcI=DQlhB1Pg0{GJuU5aC>mbY|z{IIADNx2y z^tec2jJebkwQu_CU$L<rVQ45~U|$~pYn3<8-JIf(sM)(#CVbUO>h?7>D4Us49R1t$ r@SK0L-@_gl+*#4F>XFi_4*S<>VGf3!^^x`6JC){Wc&MaA)Gz=5Cg>hR literal 0 HcmV?d00001 diff --git a/data/Umidade.rda b/data/Umidade.rda new file mode 100644 index 0000000000000000000000000000000000000000..a0fe1b5d3a83fe288892916ee42f8facc6bcf07c GIT binary patch literal 1360 zcmZ>Y%CIzaj8qGbG_jeb%fK|R{{O%K-+ur5_-}jq_y7Oje}8}X_x#^~@8A9X``7m0 z{~zD|{r>_Bzg`DV+E&K4j;3ILpA*ZcTy`+wWp-;{!C=I`B7?1$S#g1h39~~+RRdc? zRpW$82PtO3SGf*03%<%NPUUgo<z--8xPX_Z%|XgYlHuZl6FdSujmsJsPF%Ra%fPsR z*@2gV!GwXW;gIHJ&dI*&9f1rGzzd-eBnz=79aQpYIdDbf@)fBRkm<Y(42%mH7?>Rx z7qB%j@G@jBYxeDYHBVS`u|w4?xn-BCW?xmdskajLn)7<?^F#kO8Ti+7Z&y3O@aFEE zT{1JSygEARfI!57g~kgqy#7v|;b3r!abA*lh!QuC)m#>{2e}iR3z@T|+F8sT&+UA< zB6#xAs}@mWQ!Fmr^;D|mG|*5K(Ciei<;zdWzxXUe&SY-z<TWv>1uo7yhqF|SUUg1& z37q1*V&Xpu8%FPAw{3pu@V?kDIOWC>hr)6p6O{v>&+BOgy<(|zG|F#atb6wQa?p&; zxuOCu48Le?WpR;AxDm){Jj-N{0&Djz`;&8BT*X*iq(rtXJ##U~chY*X+*Tz8n}SyN zKy{1mPbQzvR{KbYbY)hhiBviCUVd^Z)TQk&SH$s<@ZzVY>t{7E8olg%E;2nj{M(ds zbuZ%09<`^ge$R0!J|z5@z;&@1yLaui=45eV>5{W#D%@2sdF;}Ttgdfcb$=XZ>ajSn zNanTSkrx~XQhb@`EOlAyEHIPpM%3diUOjoq=Eb^2b6zB;P2g}6(}>xjn0Y8oEk#sW z=0eAt+AeEO#s!{=eZlS$icIy^!q1&To~}s`Xt!7$#BEbPSy|O`IZJloeW9B?Kl&mj zBm_VBqch2<F;vC7q02hVTq@E3wDA&4f1ae8WtlP;qVD`W&GDc|xmcxf3FDz{>ojNG zJa97FDs0V#Wez2)Y=ll!ESOYyOkGoJTH&&2wML(*3ZaS|Dk&j>Q(Qt$?VA<3>gw*A zKflkMxm`T-#)jVfmG_R#^7oX})p^^sq>;Nw!*|kVE~%|1nvpH4E4~#g87)cKt1kH@ z>s4+i)2a!VtUJ6;3otKYX<5^&@OG95@5&{@l0Q7|)LKmrS=N2sKcsVpU`XrHiD?%r z1g+$^Itr+ry*Y#LLR$LmW>>Z!OE$#hHz;WBohG`xTQ1_i=B5G}Q%UF2hZR$st-NNQ zTi3U#(%Jpep|v_2HYhOY#s)U5c)DQ6)?Xj)@_c@|phE6;(a{9vD_sm9Y*K_6WJ?kz ziiTvLWZ*DTJh-_xu2pGebcO<>(H--tUINoKEgm!!tTAzU@qcmf!Rub-!ViLOm?&&o zYwh!aOXK5;xo7?6&Eym}o&P4a%t-Fq{(DJ2YnYT~7EL=@Y$CHGG;0&f*3{bcRRU}M zAG%FFDHI+cz#6u<=I+`Oe;q@XL>=zpwEg8XryCzWy3(tp;Z|<Aq)X&dP2a5G^Er$U zUVYDd@q5Ga>$jKNf8V%rvbRXrmNzO*-@feLog7##Sm0P&+d8$gvr}36+tK;Emwf&B zK7u8{gn4ULr<Lr3&r{Z?PMA39NN?Z489)9%IlpAr1-8zvcYE%*PS!l*TT$};W=61o z?~3F9w@x?G+Y;vC$$7OpM)bX6q=s?IBBdKm%VH$OJ{B8xMN|r3@nj7;y*^H4VMEN# z^sQE_rybXx%F?v%JV#)ZU!Zi!?K$h8U+FO1P@rc!{Z{n0yN(=d6V~$HN?G)8n$h&X Vk<87{{&(+Gnxo+%CFd*F003&0SS|nn literal 0 HcmV?d00001 -- GitLab From c638ca4c7ac380e0484118c3a0fcaed19fdf004b Mon Sep 17 00:00:00 2001 From: bruna wundervald <brunadaviesw@gmail.com> Date: Sat, 1 Oct 2016 15:42:06 -0300 Subject: [PATCH 07/30] =?UTF-8?q?Adiciona=20todos=20os=20arquivos=20da=20s?= =?UTF-8?q?=C3=A9rie=20A9=20do=20Morettin?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- R/Banespa.R | 27 + R/Cananeia.R | 1 + R/Cemig.R | 26 + R/Consumo.R | 1 + R/Globo.R | 26 + R/IBV.R | 27 + R/IBVSP.R | 33 + R/Petro.R | 27 + R/SP.R | 30 + R/TAM.R | 26 + data-raw/Banespa.txt | 1499 ++++++++++++++++++++++++++++++++++++++++++ data-raw/Cemig.txt | 1499 ++++++++++++++++++++++++++++++++++++++++++ data-raw/Globo.txt | 1499 ++++++++++++++++++++++++++++++++++++++++++ data-raw/IBV.txt | 1499 ++++++++++++++++++++++++++++++++++++++++++ data-raw/IBVSP.txt | 88 +++ data-raw/Petro.txt | 1499 ++++++++++++++++++++++++++++++++++++++++++ data-raw/SP.txt | 88 +++ data-raw/TAM.txt | 1499 ++++++++++++++++++++++++++++++++++++++++++ data/Banespa.rda | Bin 0 -> 7586 bytes data/Cemig.rda | Bin 0 -> 4104 bytes data/Globo.rda | Bin 0 -> 1396 bytes data/IBV.rda | Bin 0 -> 4116 bytes data/IBVSP.rda | Bin 0 -> 957 bytes data/Petro.rda | Bin 0 -> 5556 bytes data/SP.rda | Bin 0 -> 560 bytes data/TAM.rda | Bin 0 -> 3385 bytes 26 files changed, 9394 insertions(+) create mode 100644 R/Banespa.R create mode 100644 R/Cemig.R create mode 100644 R/Globo.R create mode 100644 R/IBV.R create mode 100644 R/IBVSP.R create mode 100644 R/Petro.R create mode 100644 R/SP.R create mode 100644 R/TAM.R create mode 100644 data-raw/Banespa.txt create mode 100644 data-raw/Cemig.txt create mode 100644 data-raw/Globo.txt create mode 100644 data-raw/IBV.txt create mode 100644 data-raw/IBVSP.txt create mode 100644 data-raw/Petro.txt create mode 100644 data-raw/SP.txt create mode 100644 data-raw/TAM.txt create mode 100644 data/Banespa.rda create mode 100644 data/Cemig.rda create mode 100644 data/Globo.rda create mode 100644 data/IBV.rda create mode 100644 data/IBVSP.rda create mode 100644 data/Petro.rda create mode 100644 data/SP.rda create mode 100644 data/TAM.rda diff --git a/R/Banespa.R b/R/Banespa.R new file mode 100644 index 00000000..b46dd379 --- /dev/null +++ b/R/Banespa.R @@ -0,0 +1,27 @@ +#' @name Banespa +#' @title Ações do Banespa +#' @description Dados sobre os valores dos preções diários das ações +#' do Banespa PN. Os dados são referentes ao período do dia três de +#' Janeiro de 1995 até 27 de Dezembro de 2000. +#' +#' @format Uma série temporal (classe \code{ts}), com 1498 observações +#' diárias, de 3 de janeiro de 1995 a 27 de dezembro de 2000. +#' @keywords TS +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard +#' Blucher. (Série A9 - Mercado Financeiro, mencionada em diversas +#' páginas) +#' @examples +#' +#' data(Banespa) +#' str(Banespa) +#' Banespa +#' +#' # Médias anuais +#' aggregate(Banespa, FUN = mean) +#' +#' # Visualização da série +#' library(lattice) +#' xyplot(Banespa, type = c("o", "g"), pch = 19, col = "seashell3") +#' +NULL diff --git a/R/Cananeia.R b/R/Cananeia.R index 7a59db2c..f4409960 100644 --- a/R/Cananeia.R +++ b/R/Cananeia.R @@ -1,3 +1,4 @@ +#' @name Cananeia #' @title Temperaturas em Cananeia, São Paulo #' @description Dados sobre temperaturas médias mensais, em graus #' centígrados, da cidade de Cananeia, em São Paulo. A tabela é diff --git a/R/Cemig.R b/R/Cemig.R new file mode 100644 index 00000000..53989691 --- /dev/null +++ b/R/Cemig.R @@ -0,0 +1,26 @@ +#' @name Cemig +#' @title Ações da CEMIG +#' @description Dados sobre os preçoes diários das ações da CEMIG, +#' de três de Janeiro de 1995 a 27 de Dezembro de 2000. +#' +#' @format Uma série temporal (classe \code{ts}), com 1498 observações +#' diárias, de 3 de janeiro de 1995 a 27 de dezembro de 2000. +#' @keywords TS +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard +#' Blucher. (Série A9 - Mercado Financeiro, mencionada em diversas +#' páginas) +#' @examples +#' +#' data(Cemig) +#' str(Cemig) +#' Cemig +#' +#' # Médias anuais +#' aggregate(Cemig, FUN = mean) +#' +#' # Visualização da série +#' library(lattice) +#' xyplot(Cemig, type = c("o", "g"), pch = 19, col = "brown") +#' +NULL diff --git a/R/Consumo.R b/R/Consumo.R index 883adac2..46257bea 100644 --- a/R/Consumo.R +++ b/R/Consumo.R @@ -1,3 +1,4 @@ +#' @name Consumo #' @title Vendas Físicas na RM de São Paulo #' @description Dados sobre a quantidade de vendas físicas na #' região metropolitana de São Paulo. A tabela tem observações diff --git a/R/Globo.R b/R/Globo.R new file mode 100644 index 00000000..f3beb334 --- /dev/null +++ b/R/Globo.R @@ -0,0 +1,26 @@ +#' @name Globo +#' @title Ações da Globo +#' @description Dados sobre os preços diários das ações da Globo Cabo, +#' de 06 de Novembro de 1996 a 27 de Dezembro de 2000. +#' +#' @format Uma série temporal (classe \code{ts}), com 1037 observações +#' diárias, de 06 de novembro de 1996 a 27 de dezembro de 2000. +#' @keywords TS +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard +#' Blucher. (Série A9 - Mercado Financeiro, mencionada em diversas +#' páginas) +#' @examples +#' +#' data(Globo) +#' str(Globo) +#' Globo +#' +#' # Médias anuais +#' aggregate(GLOBO, FUN = mean) +#' +#' # Visualização da série +#' library(lattice) +#' xyplot(Globo, type = c("o", "g"), pch = 19, col = "violet") +#' +NULL diff --git a/R/IBV.R b/R/IBV.R new file mode 100644 index 00000000..818b087a --- /dev/null +++ b/R/IBV.R @@ -0,0 +1,27 @@ +#' @name IBV +#' @title IBV de São Paulo +#' @description Dados sobre o Índice da Bolsa de Valores (IBV) de São +#' Paulo. Os dados são referentes ao período do dia três de +#' Janeiro de 1995 até 27 de Dezembro de 2000. +#' +#' @format Uma série temporal (classe \code{ts}), com 1498 observações +#' diárias, de 3 de janeiro de 1995 a 27 de dezembro de 2000. +#' @keywords TS +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard +#' Blucher. (Série A9 - Mercado Financeiro, mencionada em diversas +#' páginas) +#' @examples +#' +#' data(IBV) +#' str(IBV) +#' IBV +#' +#' # Médias anuais +#' aggregate(IBV, FUN = mean) +#' +#' # Visualização da série +#' library(lattice) +#' xyplot(IBV, type = c("o", "g"), pch = 19, col = "salmon") +#' +NULL diff --git a/R/IBVSP.R b/R/IBVSP.R new file mode 100644 index 00000000..ee469d57 --- /dev/null +++ b/R/IBVSP.R @@ -0,0 +1,33 @@ +#' @name IBVSP +#' @title IBV de São Paulo +#' @description Dados sobre o Índice mensal da Bolsa de Valores (IBVSP) +#' de São Paulo, de Junho de 1994 a Agosto de 2001. +#' +#' @format Uma série temporal (classe \code{ts}), com 87 observações +#' mensais, de junho de 1994 a agosto de 2001. +#' @keywords TS +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard +#' Blucher. (Série A9 - Mercado Financeiro, mencionada em diversas +#' páginas) +#' @examples +#' +#' data(IBVSP) +#' str(IBVSP) +#' IBVSP +#' +#' # Médias anuais +#' aggregate(IBVSP, FUN = mean) +#' +#' # Médias mensais +#' tapply(IBVSP, cycle(IBVSP), mean) +#' +#' # Visualização da série +#' library(lattice) +#' xyplot(IBVSP, type = c("o", "g"), pch = 19, col = "royalblue") +#' +#' # Gráfico da decomposição sazonal +#' library(latticeExtra) +#' xyplot(stl(IBVSP, s.window = 12), col = "khaki3") +#' +NULL diff --git a/R/Petro.R b/R/Petro.R new file mode 100644 index 00000000..1e1cc0a9 --- /dev/null +++ b/R/Petro.R @@ -0,0 +1,27 @@ +#' @name Petro +#' @title Ações da Petrobrás +#' @description Dados sobre os valores diários das ações da Petrobrás +#' PN. Os dados são referentes ao período do dia três de +#' Janeiro de 1995 até 27 de Dezembro de 2000. +#' +#' @format Uma série temporal (classe \code{ts}), com 1498 observações +#' diárias, de 3 de janeiro de 1995 a 27 de dezembro de 2000. +#' @keywords TS +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard +#' Blucher. (Série A9 - Mercado Financeiro, mencionada em diversas +#' páginas) +#' @examples +#' +#' data(Petro) +#' str(Petro) +#' Petro +#' +#' # Médias anuais +#' aggregate(Petro, FUN = mean) +#' +#' # Visualização da série +#' library(lattice) +#' xyplot(Petro, type = c("o", "g"), pch = 19, col = "violetred3") +#' +NULL diff --git a/R/SP.R b/R/SP.R new file mode 100644 index 00000000..98100858 --- /dev/null +++ b/R/SP.R @@ -0,0 +1,30 @@ +#' @name SP +#' @title SP de São Paulo +#' @description Dados sobre o Índice mensal do S&P 500 ("Standard and +#' Poor's Five Hundred"), índice de ações norte-americano, de +#' Julho de 1994 a Agosto de 2001. +#' +#' @format Uma série temporal (classe \code{ts}), com 87 observações +#' mensais, de Julho de 1994 a Agosto de 2001. +#' @keywords TS +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard +#' Blucher. (Série A9 - Mercado Financeiro, mencionada em diversas +#' páginas) +#' @examples +#' +#' data(SP) +#' str(SP) +#' SP +#' +#' # Médias anuais +#' aggregate(SP, FUN = mean) +#' +#' # Visualização da série +#' library(lattice) +#' xyplot(SP, type = c("o", "g"), pch = 19, col = "lemonchiffon3") +#' +#' # Gráfico da decomposição sazonal +#' library(latticeExtra) +#' xyplot(stl(SP, s.window = 12), col = "cyan") +NULL diff --git a/R/TAM.R b/R/TAM.R new file mode 100644 index 00000000..f4199bc2 --- /dev/null +++ b/R/TAM.R @@ -0,0 +1,26 @@ +#' @name TAM +#' @title Ações da TAM +#' @description Dados sobre os valores diários das ações da TAM, +#' do dia 10 de Janeiro de 1995 a 27 de Dezembro de 2000. +#' +#' @format Uma série temporal (classe \code{ts}), com 1498 observações +#' diárias, de 10 de janeiro de 1995 a 27 de dezembro de 2000. +#' @keywords TS +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard +#' Blucher. (Série A9 - Mercado Financeiro, mencionada em diversas +#' páginas) +#' @examples +#' +#' data(TAM) +#' str(TAM) +#' TAM +#' +#' # Médias anuais +#' aggregate(TAM, FUN = mean) +#' +#' # Visualização da série +#' library(lattice) +#' xyplot(TAM, type = c("o", "g"), pch = 19, col = "red3") +#' +NULL diff --git a/data-raw/Banespa.txt b/data-raw/Banespa.txt new file mode 100644 index 00000000..8ba53491 --- /dev/null +++ b/data-raw/Banespa.txt @@ -0,0 +1,1499 @@ +x +6.423747 +5.747563 +6.085655 +4.868524 +4.496623 +3.78663 +3.78663 +4.800906 +5.274235 +4.936143 +5.247187 +5.138998 +4.733288 +4.429005 +4.733288 +4.800906 +4.800906 +4.841477 +4.800906 +4.665669 +4.936143 +5.213378 +4.936143 +5.003761 +4.936143 +4.868524 +4.868524 +4.800906 +4.773859 +4.672431 +4.63186 +4.259959 +3.719012 +3.921867 +3.955676 +3.583775 +3.448538 +4.063865 +4.131484 +4.131484 +3.78663 +3.685202 +3.651393 +3.38092 +3.178064 +3.042828 +3.414729 +3.516156 +3.428253 +3.387681 +3.482347 +3.516156 +3.38092 +3.38092 +3.245683 +3.313301 +3.759583 +4.063865 +4.158531 +3.854248 +3.806916 +3.583775 +3.516156 +3.583775 +3.719012 +3.921867 +3.719012 +3.671679 +3.516156 +3.516156 +3.38092 +3.516156 +3.583775 +3.691964 +3.725773 +3.921867 +3.854248 +3.854248 +3.78663 +3.685202 +3.766344 +3.793392 +3.773106 +3.732535 +3.78663 +3.854248 +3.854248 +3.989485 +3.820439 +3.732535 +3.685202 +3.78663 +3.78663 +3.685202 +3.549966 +3.516156 +3.387681 +3.421491 +3.38092 +3.549966 +3.854248 +3.617584 +3.685202 +3.685202 +3.651393 +3.556727 +3.71225 +3.651393 +3.719012 +3.78663 +3.719012 +3.698726 +3.698726 +3.583775 +3.435014 +3.482347 +3.516156 +3.441776 +3.516156 +3.516156 +3.516156 +3.516156 +3.522918 +3.482347 +3.516156 +3.583775 +3.854248 +3.78663 +3.820439 +4.726526 +4.665669 +4.530432 +4.604813 +4.530432 +4.496623 +4.868524 +5.003761 +5.308044 +5.341853 +5.017285 +4.936143 +5.071379 +5.003761 +5.003761 +5.308044 +5.240425 +5.172807 +5.071379 +5.017285 +4.902333 +4.902333 +4.665669 +4.936143 +4.915857 +4.942905 +4.915857 +4.936143 +4.936143 +4.733288 +4.733288 +5.064618 +5.105189 +5.206616 +5.003761 +4.936143 +4.800906 +4.936143 +4.733288 +5.003761 +5.003761 +5.003761 +4.740049 +4.733288 +4.800906 +4.733288 +4.733288 +4.699478 +4.591289 +4.401957 +4.327577 +4.172055 +3.989485 +3.820439 +3.719012 +4.124722 +4.293768 +4.253197 +4.124722 +4.057104 +4.090913 +4.057104 +3.820439 +3.78663 +3.719012 +3.651393 +3.448538 +3.583775 +3.725773 +3.651393 +3.651393 +3.685202 +3.63787 +3.448538 +3.360634 +3.725773 +4.057104 +4.057104 +3.989485 +4.057104 +4.077389 +4.259959 +4.246435 +3.921867 +3.752821 +3.624346 +3.583775 +3.685202 +3.78663 +3.685202 +3.34711 +3.387681 +3.482347 +3.414729 +3.482347 +3.577013 +3.583775 +3.752821 +3.854248 +3.854248 +3.854248 +3.78663 +3.583775 +3.549966 +3.583775 +3.583775 +3.854248 +3.719012 +3.752821 +3.658155 +3.685202 +3.854248 +3.820439 +3.78663 +3.752821 +3.651393 +3.38092 +3.38092 +3.407967 +3.617584 +3.719012 +3.719012 +3.685202 +3.644631 +3.522918 +3.752821 +3.921867 +3.854248 +3.685202 +3.624346 +3.624346 +3.583775 +3.583775 +3.583775 +3.651393 +3.651393 +3.651393 +3.779868 +3.685202 +3.685202 +3.921867 +4.04358 +3.955676 +4.016533 +3.989485 +3.854248 +3.685202 +3.685202 +3.691964 +3.664917 +3.651393 +3.583775 +3.583775 +3.719012 +3.719012 +3.516156 +3.218636 +3.516156 +3.279492 +3.320063 +3.448538 +3.245683 +3.313301 +3.130732 +3.245683 +3.245683 +3.144255 +3.178064 +3.211874 +3.218636 +3.184826 +3.110446 +3.110446 +3.110446 +3.103684 +2.975209 +2.900829 +2.907591 +2.745307 +2.643879 +2.704736 +2.711498 +2.670927 +2.765592 +2.806163 +2.704736 +2.569499 +2.670927 +2.616832 +2.501881 +2.501881 +2.501881 +2.670927 +2.299025 +2.366644 +2.549213 +2.704736 +2.738545 +2.738545 +2.738545 +2.704736 +2.630355 +2.704736 +2.704736 +2.670927 +2.670927 +2.670927 +2.637117 +2.637117 +2.873782 +2.711498 +2.711498 +2.68445 +2.576261 +2.697974 +2.603308 +2.569499 +2.522166 +2.53569 +2.53569 +2.542452 +2.569499 +2.569499 +2.468071 +2.53569 +2.515404 +2.366644 +2.434262 +2.4275 +2.434262 +2.501881 +2.53569 +2.53569 +2.528928 +2.407215 +2.468071 +2.549213 +2.501881 +2.501881 +2.501881 +2.53569 +2.522166 +2.434262 +2.501881 +2.515404 +2.53569 +2.468071 +2.468071 +2.434262 +2.4275 +2.501881 +2.434262 +2.501881 +2.528928 +2.501881 +2.380167 +2.380167 +2.434262 +2.366644 +2.359882 +2.366644 +2.366644 +2.359882 +2.434262 +2.434262 +2.332835 +2.332835 +2.299025 +2.393691 +2.400453 +2.380167 +2.366644 +2.244931 +2.299025 +2.366644 +2.299025 +2.265216 +2.332835 +2.332835 +2.292264 +2.305787 +2.163789 +2.17055 +2.09617 +2.09617 +2.09617 +2.102932 +2.062361 +2.09617 +2.048837 +1.994743 +1.967695 +1.954172 +1.825697 +1.825697 +1.859506 +1.791887 +1.791887 +1.758078 +1.731031 +1.724269 +1.758078 +1.737793 +1.717507 +1.710745 +1.636365 +1.791887 +1.791887 +1.825697 +1.744555 +1.717507 +1.69046 +1.758078 +1.710745 +1.663412 +1.683698 +1.69046 +1.649889 +1.670174 +1.656651 +1.656651 +1.656651 +1.629603 +1.643127 +1.683698 +1.670174 +1.69046 +1.670174 +1.622841 +1.656651 +1.656651 +1.460557 +1.352368 +1.284749 +1.284749 +1.352368 +1.284749 +1.298273 +1.35913 +1.487605 +1.555223 +1.758078 +2.332835 +3.245683 +3.245683 +3.245683 +3.245683 +3.245683 +4.050342 +4.395196 +3.982723 +3.78663 +3.671679 +3.651393 +3.462062 +3.407967 +3.245683 +3.184826 +3.042828 +3.009018 +3.38092 +3.685202 +2.907591 +3.279492 +3.38092 +3.38092 +3.360634 +3.34711 +3.38092 +3.38092 +3.151017 +3.286254 +3.38092 +3.374158 +3.320063 +3.178064 +3.313301 +3.117208 +3.211874 +3.245683 +3.117208 +2.975209 +3.009018 +2.988733 +2.907591 +2.839973 +2.839973 +2.772354 +2.833211 +2.738545 +2.839973 +2.738545 +2.738545 +2.975209 +2.900829 +2.839973 +2.833211 +2.839973 +3.04959 +3.245683 +3.34711 +3.178064 +3.042828 +3.042828 +3.029304 +3.009018 +2.968447 +2.9414 +2.921115 +2.839973 +2.704736 +2.704736 +2.772354 +2.873782 +3.38092 +3.279492 +3.313301 +3.326825 +3.448538 +3.685202 +3.719012 +3.752821 +3.651393 +3.549966 +3.522918 +3.719012 +3.847487 +3.752821 +3.617584 +3.583775 +3.448538 +3.320063 +3.34711 +3.34711 +3.435014 +3.448538 +3.78663 +4.036818 +4.699478 +4.598051 +5.206616 +5.335091 +5.544708 +6.018037 +6.220892 +6.078894 +6.153274 +6.288511 +6.694221 +6.761839 +7.05936 +7.235168 +6.83622 +7.093169 +7.052598 +8.046589 +9.331338 +10.14276 +8.655154 +8.790391 +8.783629 +8.215635 +9.459813 +9.459813 +9.459813 +9.459813 +9.459813 +9.459813 +9.459813 +9.459813 +10.78513 +13.05035 +14.26748 +16.76936 +18.92639 +17.58078 +16.23518 +15.8227 +16.76936 +17.44555 +17.90535 +17.17507 +16.22841 +16.09318 +15.41023 +15.55223 +16.37041 +17.24269 +17.10745 +17.91887 +17.92564 +19.74457 +20.15028 +19.27124 +20.01504 +19.54172 +19.74457 +19.74457 +20.28552 +20.28552 +21.23218 +18.93991 +21.90836 +22.31407 +22.92264 +23.59882 +24.95119 +25.3569 +25.35014 +28.39973 +28.06163 +26.96622 +25.68147 +26.50641 +26.37117 +26.70927 +26.36441 +26.97974 +29.07591 +30.09018 +29.75885 +29.414 +30.77313 +34.47862 +33.13301 +32.11874 +33.94443 +33.68072 +33.73482 +33.80243 +33.4711 +33.34939 +36.24346 +37.32535 +35.14804 +32.80168 +34.47862 +37.52821 +38.87381 +37.8663 +35.16156 +35.83775 +35.16156 +35.16156 +34.82347 +33.4711 +33.94443 +37.06164 +38.07592 +38.53572 +38.54248 +37.19012 +35.14128 +35.80394 +36.3787 +36.0406 +35.16156 +35.63489 +35.83775 +37.12926 +37.39297 +37.05488 +36.85202 +36.84526 +36.58155 +36.2367 +36.3787 +36.44631 +35.77013 +35.49966 +36.44631 +36.31108 +38.13677 +35.83775 +36.50041 +31.10446 +32.05112 +27.7303 +23.66644 +23.66644 +25.68823 +29.44781 +32.11197 +30.56351 +27.72354 +28.05487 +27.38545 +21.63789 +22.31407 +24.34938 +25.62737 +28.37944 +28.19687 +27.9264 +28.73782 +28.59582 +28.39973 +29.27876 +30.09018 +29.74533 +29.54924 +29.86028 +32.79492 +33.4711 +33.67396 +33.13301 +32.11874 +30.42152 +28.39973 +29.00829 +30.07666 +29.75885 +31.67922 +30.56351 +30.42828 +31.08418 +30.76637 +30.76637 +30.76637 +30.76637 +30.76637 +30.76637 +30.76637 +42.2615 +44.35767 +46.65669 +44.27652 +43.27577 +42.60635 +43.81672 +43.27577 +41.24722 +41.9234 +43.61386 +41.9234 +41.24722 +41.99102 +40.23294 +41.24046 +39.21867 +40.5778 +39.89485 +38.88058 +40.56427 +38.27201 +38.53572 +38.54248 +38.54248 +39.21867 +38.54248 +38.74534 +38.54248 +38.88058 +38.6101 +38.81296 +38.47487 +38.20439 +39.96247 +42.52521 +42.2615 +42.59959 +43.27577 +43.61386 +43.27577 +44.62138 +45.90613 +45.97375 +45.9467 +45.03385 +47.31935 +47.67097 +47.94144 +47.94144 +57.10207 +57.00528 +57.10207 +57.68277 +57.77955 +60.19913 +67.2643 +71.61954 +71.52276 +73.55521 +72.58737 +72.58737 +70.16779 +72.5777 +72.58737 +74.494 +75.49087 +77.91045 +82.26569 +79.84611 +77.90077 +75.97478 +75.00695 +74.1359 +71.61954 +67.74822 +71.61954 +74.03912 +73.55521 +74.52304 +74.52304 +72.10346 +69.68388 +73.55521 +71.61954 +70.16779 +70.55493 +69.68388 +68.71605 +64.84472 +64.74794 +63.87689 +64.84472 +62.90906 +60.00556 +54.68249 +59.52165 +59.03773 +58.0699 +56.13424 +60.00556 +58.0699 +58.54414 +60.00556 +60.00556 +57.58598 +55.1664 +55.65032 +51.77899 +51.29508 +55.1664 +55.15673 +54.39214 +52.45648 +53.23074 +53.42431 +50.81116 +49.35941 +50.32725 +51.78867 +53.24042 +54.68249 +57.87633 +57.11175 +62.90906 +62.42514 +62.42514 +64.84472 +67.21591 +67.74822 +67.2643 +68.81283 +67.74822 +66.78038 +65.81255 +63.87689 +62.61871 +62.13479 +60.98307 +59.52165 +58.56349 +60.48948 +59.52165 +59.52165 +56.61815 +55.65032 +56.13424 +56.61815 +58.0699 +55.1664 +53.23074 +53.71466 +53.21138 +52.74682 +52.25323 +52.26291 +49.35941 +45.48809 +45.28484 +46.45592 +44.52026 +41.61676 +40.64893 +38.71327 +39.87466 +35.80977 +30.97061 +28.06712 +29.22852 +29.50919 +25.16362 +29.03495 +34.35802 +40.16501 +39.6811 +39.67142 +42.57491 +39.1004 +38.22935 +41.32641 +42.28456 +40.64893 +40.64893 +40.61989 +38.71327 +34.40642 +33.87411 +30.58348 +32.90628 +32.8966 +32.88692 +35.31618 +35.80977 +35.80977 +37.72608 +37.45508 +38.71327 +40.64893 +42.56524 +45.34291 +42.58459 +41.13285 +40.64893 +40.16501 +38.22935 +42.58459 +44.42347 +45.00417 +47.42375 +50.32725 +53.71466 +53.71466 +53.23074 +50.13368 +51.29508 +55.06962 +58.06022 +60.48948 +57.58598 +57.59566 +59.71521 +58.06022 +59.52165 +59.99588 +59.02805 +56.23102 +58.0699 +57.10207 +53.03717 +52.74682 +56.14391 +55.45675 +55.1664 +53.71466 +51.29508 +46.26235 +49.84333 +48.39158 +48.39158 +50.31757 +52.71361 +52.0174 +52.71361 +52.71361 +51.22172 +49.72982 +49.72982 +49.72982 +49.72982 +50.22712 +52.72356 +51.71902 +50.72442 +47.74063 +40.28116 +36.80007 +28.85324 +39.28656 +40.77846 +43.26495 +46.69631 +43.76225 +41.17629 +41.17629 +44.25954 +44.75684 +42.86711 +40.28116 +47.24333 +51.71902 +50.22712 +48.73523 +47.74063 +49.72982 +49.22258 +49.72982 +50.5255 +51.71902 +51.42064 +50.72442 +51.71902 +50.22712 +49.22258 +53.21091 +51.71902 +54.70281 +57.98498 +58.39276 +59.57633 +63.3558 +66.04121 +69.12446 +66.76726 +69.42284 +65.64337 +65.64337 +69.62175 +70.61635 +70.61635 +71.61095 +69.12446 +67.63256 +70.61635 +72.61549 +77.09117 +78.32447 +77.97636 +77.19063 +77.57853 +78.88145 +76.59388 +77.46912 +76.09658 +76.58393 +75.58933 +74.09744 +75.09204 +74.89312 +74.99258 +74.59474 +70.61635 +70.61635 +70.01959 +69.42284 +69.12446 +70.6263 +72.60554 +73.60014 +72.80446 +71.61095 +72.60554 +72.0983 +76.58393 +78.75215 +78.68253 +78.47366 +81.65637 +82.05421 +79.56772 +79.07042 +78.47366 +77.47907 +74.58479 +70.21851 +67.63256 +74.89312 +75.47993 +73.50068 +74.59474 +74.89312 +74.78371 +76.68339 +76.58393 +77.57853 +75.09204 +76.59388 +78.54328 +77.57853 +77.56858 +79.56772 +78.57312 +79.55777 +81.55691 +80.55237 +78.52339 +76.78285 +75.88771 +74.59474 +75.00252 +75.09204 +75.58933 +76.57398 +77.28015 +74.1969 +73.80901 +72.48619 +72.48619 +70.40749 +70.71581 +69.82067 +67.98067 +66.43905 +65.14607 +63.18672 +62.95796 +63.85309 +67.08553 +65.04661 +65.04661 +65.04661 +63.64423 +61.96336 +59.67579 +61.16768 +60.86931 +60.67039 +59.77525 +58.68119 +58.18389 +62.56012 +60.67039 +62.16228 +62.15233 +59.57633 +57.44789 +58.18389 +62.16228 +60.67039 +59.12876 +60.67039 +59.68574 +59.67579 +59.29784 +59.18844 +59.67579 +61.46606 +62.07277 +61.91363 +61.65504 +64.44985 +66.14067 +65.94175 +63.90282 +61.66498 +53.70821 +50.69458 +50.22712 +51.82842 +52.71361 +52.70367 +53.70821 +51.42064 +50.72442 +48.03901 +45.25414 +43.26495 +42.27035 +44.25954 +48.46669 +47.25328 +47.24333 +47.24333 +45.55252 +45.24419 +45.24419 +44.55792 +42.76765 +43.71252 +42.76765 +44.38884 +46.24874 +46.28852 +47.74063 +48.73523 +49.82928 +50.12766 +49.92874 +47.84009 +51.33112 +53.21091 +51.42064 +51.71902 +52.61415 +51.5201 +53.90713 +55.7173 +57.67665 +58.69114 +57.48768 +58.59168 +58.48227 +64.05201 +65.63342 +62.65958 +62.16228 +60.17309 +61.26714 +59.03925 +55.99578 +56.692 +57.08984 +57.39816 +59.47687 +59.87471 +58.18389 +56.49308 +60.67039 +61.65504 +62.65958 +62.95796 +62.95796 +67.0358 +67.0358 +66.15061 +65.14607 +62.56012 +63.65418 +63.65418 +63.45526 +59.17849 +61.56552 +63.64423 +64.63883 +69.12446 +66.15061 +64.54931 +62.65958 +64.54931 +63.65418 +63.15688 +62.14239 +61.26714 +60.77979 +60.76985 +60.76985 +59.77525 +59.97417 +60.18303 +60.27255 +60.47147 +64.05201 +67.61267 +66.63796 +65.13612 +67.73202 +68.67689 +73.10284 +71.61095 +70.61635 +70.129 +71.80987 +72.10825 +71.11365 +73.10284 +72.25744 +72.60554 +71.43192 +72.21765 +70.81527 +70.61635 +69.22392 +67.93094 +69.62175 +69.52229 +71.61095 +69.62175 +67.33418 +65.34499 +65.64337 +66.63796 +64.62888 +64.64877 +69.11451 +68.62716 +68.78629 +67.13526 +68.62716 +69.14435 +69.17419 +70.01959 +69.92013 +69.12446 +67.75191 +66.63796 +67.13526 +67.63256 +65.55385 +62.44077 +63.65418 +60.57093 +57.58714 +57.1893 +58.38281 +56.692 +61.5 +60.1 +64 +64.5 +65.2 +66.99 +68.3 +67 +67.4 +68.45 +67 +67.35 +66.46 +67 +64 +66 +66 +62.6 +62.8 +63.5 +60.75 +59 +60.9 +59.5 +58.1 +57.2 +56.49 +54.5 +55.4 +55.19 +54.4 +53.45 +57.7 +57.65 +56.8 +56 +55 +54.7 +56.5 +56.5 +58.5 +58.5 +59 +58 +56.66 +56.01 +56.3 +55 +53.98 +53.31 +55.2 +55.85 +56.8 +56.5 +54.49 +51.5 +50.2 +47 +48.6 +48.8 +50 +48.5 +47.5 +46.9 +49.78 +47.4 +48 +50.1 +49 +50.3 +49.5 +48.5 +46.89 +46.99 +48.35 +48.9 +48 +47.91 +49.7 +49.4 +48.1 +47.5 +49.99 +50.29 +50.5 +50.7 +52.1 +55.3 +58.04 +58.5 +60 +61.89 +61.7 +61.45 +59 +59.65 +60.59 +59.55 +60 +56.97 +58.36 +57.6 +55 +50.78 +53 +52.48 +53.19 +54.19 +54.81 +54.82 +53.2 +53.91 +54 +53.5 +57.1 +60.91 +61.02 +59.92 +58.59 +55.8 +58.8 +59 +58.7 +60.5 +57.22 +58.4 +56.48 +55.5 +54.1 +52.65 +59.5 +60.1 +61.3 +64.66 +63.5 +65.2 +66.2 +65.9 +62.39 +64.49 +64.75 +64.51 +61.9 +60.01 +60.1 +61.9 +59 +56.31 +57.81 +61.42 +64.99 +65.52 +68.1 +67.5 +69.3 +69 +68.3 +67.2 +67.75 +66.4 +67.52 +65 +65 +64.84 +63.59 +62.2 +62.6 +61.45 +60.5 +62.4 +61.4 +60.8 diff --git a/data-raw/Cemig.txt b/data-raw/Cemig.txt new file mode 100644 index 00000000..cdbd667a --- /dev/null +++ b/data-raw/Cemig.txt @@ -0,0 +1,1499 @@ +x +4097.9 +3967.9 +4036.6 +3827.3 +3627.8 +3270 +3499.1 +3840.6 +4103.8 +4056.4 +4209.7 +4078.5 +3809.3 +3862.3 +3758.4 +3840.2 +3840.2 +3926.8 +3784.3 +3580.7 +3885 +3989.8 +3897.8 +3944.3 +3829.8 +3637.4 +3556.2 +3401.5 +3307.7 +3294.9 +3192.2 +3069.4 +2863.8 +3023.2 +2961.6 +2793 +2872.3 +3217.4 +3270.8 +3270.8 +2989 +2988 +2867.1 +2615.7 +2363.3 +2138.2 +2686.1 +2670.8 +3016.9 +2939.4 +3141.7 +2981.1 +2870 +3006.1 +3003.9 +3145.6 +3361.2 +3372.2 +3255.7 +3198.1 +3125.5 +2978.9 +2893.5 +3125.1 +3180.3 +3254.5 +3192.6 +3114 +3017.7 +3020.7 +3113.1 +3193.9 +3330.6 +3384.2 +3512.8 +3699.1 +3825.8 +3851 +3813.7 +3861.5 +3975.9 +4043.9 +4008.2 +3914.2 +4065.4 +4050.4 +3951 +3998.3 +3894 +3835.1 +3964.3 +4008 +3950 +4033.7 +4048.7 +4099.5 +4018.9 +3904.9 +3896.3 +3706.8 +3720.5 +3773.5 +3966.4 +4062.8 +3933.2 +3808.1 +3818.4 +3670.6 +3704.7 +3789.2 +3665 +3717.8 +3696.1 +3576.9 +3631.6 +3598.8 +3585.6 +3537 +3661.3 +3715.4 +3678 +3603.3 +3594.3 +3633.6 +3700.3 +3820.9 +3961.7 +3958.4 +3889.2 +4026.4 +4007.5 +4026.8 +4016.1 +3919.1 +3829.4 +3939 +3862.3 +3899.6 +3917.9 +3878.8 +3912.8 +3888.3 +3877.4 +3870.8 +3918.4 +4025.5 +4200.3 +4393.8 +4310.7 +4279.7 +4337 +4193 +4081.2 +4156.3 +4223.3 +4229.1 +4235.3 +4298.9 +4305.5 +4471.1 +4445 +4459.2 +4514.9 +4367.8 +4236 +4310.5 +4449.9 +4520.1 +4563.1 +4550 +4531.6 +4638.6 +4703.6 +4737.3 +4810.5 +4801.8 +4851.3 +4861.2 +4776.6 +4693.5 +4673.7 +4579 +4543.9 +4548 +4566.6 +4670.1 +4538 +4504.2 +4426.3 +4498.6 +4514.6 +4456.6 +4409.5 +4500.6 +4513.6 +4549.6 +4620.9 +4601.7 +4585 +4668.8 +4563.9 +4528.1 +4343.7 +4060.2 +4140.6 +4069 +4128.3 +4099.8 +4158.7 +4094.3 +4111.2 +4117 +4112.9 +3957.9 +3787 +3797.3 +4003.6 +4063.5 +3966 +4059.5 +4105.7 +4191 +4081.6 +4105.1 +4049.8 +4182.4 +4378.5 +4345.9 +4334.1 +4281 +4303.6 +4318.7 +4299.2 +4306.2 +4365.6 +4369.7 +4183.3 +4158.6 +4056 +4034.9 +4205.7 +4252 +4343.2 +4364 +4346.2 +4299 +4299 +4390 +4681.4 +4684 +4694.3 +4741 +4653.8 +4622.1 +4748.6 +4846.5 +4895.4 +4846.7 +4836.2 +4833.8 +4909 +4893.8 +4985.2 +4945.2 +4945.2 +4907.7 +4934.8 +5133.4 +5151.5 +5269.3 +5410.9 +5332.9 +5354 +5283 +5322.6 +5305.4 +5338.9 +5385.5 +5330.8 +5273.7 +5172.9 +5172.9 +5237.7 +5274.3 +5245.2 +5193 +5199.2 +4957.7 +5083.3 +5152.6 +5197.9 +4975.3 +4755.9 +4721.9 +4771.7 +4739.4 +4805.5 +4841.2 +4852.5 +4886.9 +4851.5 +4868.3 +4979.7 +5051.2 +5031.6 +4981.7 +5039.6 +4980.5 +4954.9 +5009.2 +4985.5 +4977.5 +4853.6 +4866.4 +4889.5 +4885.1 +5015.5 +5022.3 +4989.3 +5003.9 +5002 +5075.6 +5079.6 +5061.9 +5047 +5121.8 +5142.6 +5149.3 +5164.1 +5146 +5101.4 +5153 +5283.9 +5360.5 +5388.5 +5345.4 +5480.2 +5428.1 +5448.3 +5475.6 +5560.3 +5655.6 +5601.9 +5681.5 +5530.8 +5600.6 +5627.9 +5710.8 +5625.7 +5687.7 +5727.9 +5635 +5599.4 +5567.8 +5530.2 +5457.1 +5413.4 +5532.4 +5503.7 +5634.8 +5804.8 +5834.6 +5817.1 +5823 +6053.1 +6201.8 +6082.4 +6227.1 +6181.5 +6043.8 +6156.1 +6245.5 +6355.8 +6432 +6286.4 +6338.7 +6487.9 +6444.7 +6508.5 +6652.1 +6432.9 +6293.4 +6214.6 +6188.7 +6411.6 +6299.1 +6222.5 +6050.9 +6096.3 +5968.4 +5909.3 +6143.3 +6123.2 +6277.3 +6363.5 +6244.1 +6130.7 +6165.2 +6257.2 +6222.7 +6304.1 +6227.7 +6227.1 +6348.4 +6352.8 +6292.1 +6337.1 +6314.7 +6248.9 +6202.7 +6028 +6126.1 +6294.7 +6270 +6259.4 +6232.5 +6270 +6276.8 +6254 +6334.6 +6382.7 +6415.7 +6358 +6390.9 +6464.2 +6534.2 +6512.4 +6489.6 +6560.2 +6588.2 +6551.7 +6557 +6513.8 +6535.9 +6458.8 +6446.8 +6521.7 +6605.8 +6626.9 +6612.6 +6651.5 +6631 +6626.7 +6608.6 +6631.3 +6744.9 +6733.5 +6766 +6798.1 +6798.9 +6675.6 +6648.6 +6588.8 +6503.3 +6401 +6549.7 +6543.2 +6533.1 +6641.1 +6658.5 +6697.5 +6704.6 +6666.6 +6559.5 +6582.9 +6523.3 +6570.9 +6522.9 +6556.2 +6556.9 +6541.3 +6625.9 +6645.2 +6649.2 +6631.5 +6591.8 +6644.8 +6666 +6735.6 +6836.8 +6797.6 +6947.1 +6872.9 +6836.3 +6855.8 +6677.7 +6657.4 +6680.1 +6654.3 +6784.5 +6910.4 +6891.6 +6942.2 +6912.5 +6912.5 +6957.7 +7006.8 +7039.9 +7039.9 +6955.5 +6997.7 +7159.5 +7297.4 +7427 +7454.2 +7478.3 +7411.7 +7621.1 +7667.5 +7655.8 +7816.2 +7835.4 +7904.9 +7817.5 +7890.6 +7759.7 +7759 +7849.7 +7736.9 +7788.8 +7964.6 +8095.9 +8102.2 +8171.1 +8147.8 +8316.5 +8670.6 +8764.9 +8699.9 +8816 +8950.2 +8771.3 +8701.8 +8719.5 +8959.2 +9149.1 +8927.8 +8776.7 +8828.7 +8978 +8961 +9074 +9125 +9180 +9419 +9565 +9317 +9314 +9499 +9263 +9172 +9087 +9302 +9301 +9327 +9380 +9271 +9044 +9138 +9237 +9302 +9705 +9836 +9737 +9819 +9732 +9517 +9455 +9490 +9565 +9418 +9422 +9473 +9634 +9708 +9731 +9761 +9858 +9982 +10074 +9993 +10218 +10179 +10437 +10491 +10681 +10647 +10282 +10353 +10498 +10505 +10640 +10714 +10745 +10764 +10960 +11133 +11300 +11344 +11360 +11110 +11029 +11106 +11333 +11396 +11428 +11489 +11851 +11828 +11953 +12118 +12205 +12205 +12121 +12238 +12587 +13053 +12873 +12757 +12567 +13002 +13259 +13284 +13493 +13502 +13617 +13617 +13608 +13153 +12698 +11617 +12640 +11728 +11181 +11291 +12235 +12426 +12524 +12522 +12937 +13043 +13018 +12872 +12259 +12016 +11908 +12523 +12322 +12128 +11948 +11809 +11850 +11904 +11334 +11337 +11211 +10848 +11180 +11157 +11421 +11626 +11719 +11267 +10609 +10109 +11062 +11119 +11430 +11838 +11684 +11734 +11361 +11093 +11292 +10864 +11204 +11524 +11713 +11649 +11697 +11516 +11482 +11384 +11533 +11614 +11797 +12173 +12396 +12540 +12688 +12480 +12432 +12684 +12737 +12697 +12895 +12830 +12578 +12487 +12703 +13015 +12955 +11899 +11545 +9816 +10447 +9818 +8854 +8986 +9858 +10254 +9988 +9434 +8832 +9006 +8710 +7822 +8072 +8731 +9083 +9027 +9332 +9188 +9422 +9070 +9150 +9372 +9619 +9394 +9648 +9964 +9991 +10046 +10080 +10078 +9840 +9461 +9108 +9146 +9550 +9742 +9853 +9482 +9139 +9494 +9554 +9554 +9794 +10051 +10196 +10196 +10479 +10606 +10184 +9879 +9657 +9118 +9227 +9415 +9349 +9140 +9448 +9752 +9568 +9385 +9709 +9467 +9513 +9651 +9773 +9785 +9720 +9973 +10054 +9971 +9948 +10010 +10239 +10278 +10485 +10350 +10391 +10233 +10420 +10322 +10235 +10318 +10545 +10556 +10570 +10845 +10939 +10898 +10947 +11159 +11166 +11180 +11223 +11356 +11566 +11600 +11808 +11894 +11831 +11919 +12038 +11905 +11756 +11945 +11899 +11750 +11946 +11836 +11857 +11634 +11948 +11847 +11974 +12120 +12269 +12299 +12090 +12108 +12028 +11703 +11572 +11728 +11057 +11377 +11527 +11677 +11507 +11554 +11164 +11063 +11220 +10983 +10797 +10779 +10733 +10906 +10204 +10343 +10408 +10268 +10239 +10015 +9436 +9747 +10152 +9846 +9605 +10150 +9855 +10191 +10369 +10540 +10369 +9868 +9584 +9073 +9248 +9897 +9539 +9686 +9619 +9937 +9855 +9527 +9464 +9603 +9678 +9914 +9900 +10115 +10018 +10205 +10335 +10335 +10326 +10419 +10641 +10648 +10907 +11057 +11041 +10922 +10912 +10639 +10574 +10564 +10318 +10542 +10939 +10707 +10412 +9859 +9828 +9689 +9319 +9182 +8801 +8417 +8710 +8743 +8609 +8642 +8541 +7991 +7763 +7655 +7651 +7347 +6616 +6746 +6472 +6917 +6804 +6218 +5837 +5816 +5655 +4760 +5398 +5818 +6905 +6759 +6432 +6709 +6449 +6559 +7280 +6844 +6711 +6827 +6868 +6593 +5960 +6409 +6122 +6336 +6156 +6175 +6527 +6618 +6445 +6874 +6707 +6844 +6973 +7350 +7603 +7272 +6971 +6869 +6826 +6538 +7047 +7509 +7655 +8092 +8214 +8242 +8000 +7762 +7470 +7615 +8003 +8330 +8547 +8317 +8531 +8635 +8606 +8909 +8953 +9093 +8631 +8544 +8448 +7706 +7626 +7945 +7629 +7572 +7530 +7195 +6583 +6934 +6618 +6645 +6781 +7201 +7115 +7176 +7176 +6898 +6715 +6784 +6784 +6941 +7110 +7330 +6954 +6781 +6403 +5915 +5617 +5057 +6746 +7113 +7380 +7674 +7321 +7189 +7189 +7645 +7687 +7987 +8171 +8891 +8731 +8676 +8652 +8435 +8824 +8673 +8853 +8990 +8952 +8974 +8860 +9013 +9074 +8942 +8953 +8674 +8910 +9198 +9070 +9154 +9508 +9465 +9785 +9484 +9778 +9697 +9574 +10413 +10658 +10634 +10894 +10835 +10527 +10416 +10428 +10937 +10865 +10868 +11027 +10696 +11021 +11165 +11529 +11465 +11328 +11429 +11217 +11305 +11245 +11428 +11196 +10989 +11083 +11031 +10797 +10885 +11127 +11085 +11350 +11436 +11268 +11578 +11888 +12233 +12412 +12267 +12147 +12459 +12335 +12151 +12267 +12118 +12088 +11727 +11154 +10602 +11245 +10936 +10929 +11089 +11050 +10996 +11233 +11047 +11032 +10889 +11089 +11104 +11084 +11183 +11643 +11628 +11877 +12005 +11974 +11792 +11430 +11219 +11264 +11379 +11626 +11708 +11835 +11936 +11674 +11745 +11509 +11509 +11273 +11302 +11349 +11361 +11407 +11451 +11274 +11302 +11238 +10989 +10675 +10734 +10691 +10568 +10441 +10211 +10264 +10172 +10195 +10038 +9948 +9834 +10136 +10045 +10180 +10118 +9924 +9689 +9818 +10142 +10180 +10314 +10650 +10496 +10545 +10524 +10564 +10902 +10998 +11156 +11185 +11090 +11292 +11363 +11477 +11459 +11263 +11094 +11290 +11586 +11449 +11531 +11385 +11532 +11542 +11442 +11433 +11106 +10959 +11055 +10923 +11345 +11338 +11459 +11478 +11297 +11330 +11146 +10978 +11097 +11274 +11253 +11460 +11394 +11469 +11530 +11700 +11700 +11762 +12346 +12406 +12714 +12960 +12879 +13101 +13189 +13114 +13128 +12812 +13087 +13462 +13435 +13565 +13392 +13536 +13888 +13854 +13778 +13874 +14213 +14408 +14344 +14299 +14410 +14584 +14783 +14811 +14644 +14322 +14497 +14788 +15110 +15591 +15916 +15953 +15953 +16011 +16376 +16772 +17091 +17091 +16930 +15851 +16245 +16106 +16309 +17022 +16572 +16616 +17298 +17657 +18053 +17903 +17470 +17176 +17034 +16971 +16971 +17105 +17081 +16734 +16388 +16522 +16868 +17457 +17932 +18125 +18685 +18361 +18603 +18083 +17819 +17920 +18112 +17979 +17625 +17699 +17489 +17833 +17775 +17786 +17542 +17660 +17953 +18015 +18631 +18282 +18650 +18280 +17594 +17221 +17381 +17642 +17511 +17525 +18342 +18314 +18331 +18674 +18951 +18337 +18053 +17646 +17820 +17245 +16757 +16714 +17146 +17513 +16783 +16539 +16323 +15500 +14794 +14815 +15408 +14926 +15203 +14794 +15400 +15446 +15440 +15537 +15524 +15108 +14969 +15217 +14890 +14581 +14433 +14498 +14458 +15055 +15360 +14870 +14626 +14326 +13891 +13587 +14166 +14185 +14542 +14772 +15248 +14956 +15450 +16222 +16022 +15946 +16271 +16398 +16342 +16096 +16354 +16366 +16561 +16424 +16850 +16843 +17254 +16977 +16744 +16512 +16842 +16407 +16727 +17088 +17279 +17134 +17348 +17598 +17471 +16880 +17053 +16444 +16880 +17387 +17368 +16927 +17203 +17318 +17385 +17049 +17121 +16948 +16485 +16454 +16289 +16314 +16720 +16761 +16995 +16884 +16533 +16834 +17395 +17810 +17744 +17330 +17702 +17313 +17083 +17224 +17450 +17310 +17642 +17460 +17354 +17414 +17346 +17577 +17613 +17424 +17589 +17433 +17287 +16882 +16998 +16768 +16563 +15913 +16188 +16077 +16146 +16353 +16318 +16254 +15848 +16013 +15928 +15559 +15633 +15876 +16362 +15945 +15855 +15747 +15526 +15385 +15241 +14870 +14420 +14845 +14529 +13989 +13799 +13665 +14223 +14691 +14891 +14867 +14791 +14533 +14800 +14968 +14656 +14524 +14625 +14371 +14540 +14489 +14323 +14499 +14783 +14576 +14314 +14335 +14008 +13913 +13787 +13287 +13437 +13510 +14181 +13945 +14459 +14982 +15187 +14906 +15290 +15259 +14987 +15082 +15336 +14622 +14505 +14652 +14794 +15186 diff --git a/data-raw/Globo.txt b/data-raw/Globo.txt new file mode 100644 index 00000000..47b60b17 --- /dev/null +++ b/data-raw/Globo.txt @@ -0,0 +1,1499 @@ +x +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +NA +1540 +1510 +1480 +1490 +1480 +1490 +1490 +1480 +1470 +1490 +1480 +1470 +1480 +1480 +1460 +1460 +1450 +1440 +1440 +1390 +1390 +1360 +1350 +1320 +1280 +1200 +1220 +1210 +1220 +1210 +1200 +1200 +1170 +1170 +1170 +1260 +1300 +1300 +1300 +1270 +1270 +1270 +1380 +1420 +1420 +1370 +1380 +1400 +1420 +1400 +1400 +1430 +1440 +1440 +1440 +1430 +1450 +1450 +1450 +1480 +1500 +1500 +1500 +1500 +1500 +1500 +1460 +1500 +1490 +1450 +1470 +1470 +1470 +1470 +1460 +1440 +1200 +1400 +1400 +1400 +1350 +1400 +1400 +1380 +1380 +1380 +1380 +1380 +1380 +1380 +1360 +1430 +1400 +1400 +1470 +1460 +1450 +1450 +1450 +1450 +1450 +1500 +1520 +1530 +1530 +1530 +1480 +1540 +1500 +1480 +1480 +1480 +1480 +1530 +1600 +1550 +1550 +1550 +1550 +1500 +1520 +1550 +1550 +1570 +1590 +1600 +1570 +1570 +1380 +1320 +1300 +1300 +1300 +1290 +1410 +1290 +1260 +1250 +1290 +1290 +1300 +1280 +1300 +1250 +1250 +1240 +1280 +1290 +1250 +1370 +1400 +1400 +1400 +1420 +1500 +1490 +1460 +1480 +1480 +1480 +1480 +1450 +1450 +1460 +1450 +1450 +1400 +1310 +1390 +1330 +1330 +1280 +1330 +1300 +1300 +1390 +1300 +1300 +1160 +1130 +1180 +1180 +1180 +1180 +1180 +1120 +1100 +1100 +1090 +1040 +1120 +1160 +1160 +1110 +1150 +1200 +1050 +1150 +1110 +1110 +1100 +1080 +1040 +1010 +1120 +1100 +1160 +1160 +1200 +1050 +1200 +1120 +1200 +1200 +1200 +1200 +1150 +1150 +1150 +1240 +1200 +1200 +1200 +1200 +1160 +1170 +1140 +1150 +1160 +1170 +1170 +1170 +1170 +1170 +1170 +1150 +1110 +1090 +1090 +1100 +1000 +1100 +900 +900 +970 +860 +800 +800 +800 +700 +790 +700 +650 +650 +600 +600 +490 +500 +590 +600 +600 +630 +600 +600 +600 +600 +600 +600 +650 +660 +600 +650 +680 +730 +770 +770 +730 +750 +700 +700 +700 +710 +690 +690 +690 +690 +700 +700 +700 +700 +710 +680 +700 +700 +700 +650 +650 +680 +680 +650 +630 +650 +650 +650 +650 +600 +600 +600 +600 +600 +600 +620 +610 +610 +610 +610 +610 +610 +600 +600 +590 +590 +590 +590 +590 +590 +600 +620 +700 +700 +650 +650 +650 +600 +600 +640 +660 +660 +660 +660 +660 +560 +560 +630 +650 +630 +670 +600 +600 +580 +600 +570 +560 +560 +540 +540 +540 +530 +530 +530 +550 +570 +580 +580 +540 +540 +510 +510 +550 +550 +550 +550 +550 +550 +550 +530 +600 +560 +610 +630 +630 +630 +670 +650 +690 +690 +600 +600 +620 +620 +600 +600 +570 +600 +650 +620 +600 +550 +550 +520 +560 +560 +540 +540 +540 +540 +540 +540 +540 +540 +540 +540 +540 +540 +540 +580 +580 +580 +570 +580 +580 +580 +580 +580 +580 +600 +600 +600 +650 +650 +650 +650 +650 +650 +650 +650 +650 +650 +650 +650 +650 +650 +650 +650 +600 +600 +600 +600 +600 +600 +600 +600 +600 +600 +600 +600 +600 +600 +600 +600 +600 +600 +600 +600 +600 +600 +600 +600 +600 +350 +280 +320 +320 +320 +320 +320 +320 +300 +300 +300 +300 +300 +300 +300 +300 +300 +300 +250 +290 +270 +270 +270 +270 +270 +270 +270 +280 +280 +280 +280 +280 +280 +280 +280 +300 +300 +300 +300 +320 +320 +310 +310 +310 +310 +310 +310 +310 +310 +310 +310 +310 +310 +310 +310 +310 +310 +310 +310 +310 +310 +310 +310 +310 +310 +310 +310 +310 +310 +310 +300 +300 +300 +300 +300 +300 +300 +300 +300 +300 +300 +300 +300 +300 +300 +300 +300 +300 +300 +280 +280 +280 +280 +280 +280 +280 +280 +280 +280 +280 +280 +280 +280 +280 +280 +280 +280 +280 +250 +250 +260 +260 +260 +260 +260 +260 +260 +260 +260 +260 +260 +260 +260 +270 +270 +270 +270 +260 +260 +220 +220 +220 +220 +200 +200 +210 +240 +250 +230 +260 +350 +340 +290 +290 +350 +390 +450 +480 +420 +430 +490 +450 +480 +450 +550 +630 +610 +560 +570 +570 +530 +500 +460 +450 +430 +450 +420 +450 +420 +440 +500 +470 +490 +460 +490 +460 +420 +470 +460 +470 +700 +670 +610 +650 +650 +770 +800 +770 +770 +760 +750 +750 +700 +760 +860 +850 +850 +810 +810 +780 +790 +870 +840 +1010 +1020 +1010 +1240 +1180 +1160 +1030 +1160 +1210 +1180 +1150 +1030 +1040 +1030 +1040 +1000 +1020 +1030 +1040 +1040 +1160 +1160 +960 +990 +1040 +1030 +1000 +970 +970 +1000 +1040 +1020 +1010 +1030 +1100 +1050 +1080 +1050 +1080 +1060 +1050 +1020 +990 +1010 +1020 +1000 +1000 +990 +1030 +1070 +1000 +1010 +1030 +1000 +1000 +990 +1010 +990 +990 +980 +970 +1010 +990 +960 +960 +930 +930 +910 +900 +870 +890 +980 +1020 +1060 +1090 +1110 +1140 +1240 +1290 +1270 +1280 +1220 +1230 +1370 +1420 +1430 +1400 +1380 +1400 +1370 +1380 +1430 +1430 +1380 +1360 +1380 +1470 +1460 +1440 +1350 +1560 +1830 +1980 +1710 +1740 +1770 +2070 +2460 +2990 +2810 +2750 +2750 +2620 +3110 +3370 +3410 +3410 +3250 +2840 +3060 +2890 +2770 +2900 +3000 +3080 +3050 +3110 +3210 +3440 +3350 +3260 +3500 +3580 +3580 +3940 +3880 +3760 +3740 +3860 +4090 +4290 +4280 +4250 +4290 +4250 +4280 +4200 +4190 +3840 +4190 +4210 +4130 +4230 +4090 +4080 +4000 +3890 +3670 +3430 +3600 +3740 +3980 +3870 +3850 +3750 +3590 +3420 +3390 +3620 +3590 +3430 +3520 +3490 +3430 +3310 +3140 +2950 +3030 +3030 +3290 +3450 +3210 +3140 +3030 +3070 +2880 +2800 +2680 +2690 +2300 +2280 +2340 +2340 +2660 +2900 +2930 +2870 +3060 +3140 +2920 +2820 +2800 +3000 +3000 +2960 +2940 +2850 +2640 +2760 +2770 +2630 +2540 +2430 +2320 +2090 +2270 +2200 +2310 +2360 +2270 +2160 +2370 +2470 +2430 +2300 +2370 +2440 +2310 +2230 +2220 +2380 +2430 +2450 +2590 +2570 +2640 +2610 +2510 +2510 +2510 +2470 +2530 +2570 +2610 +2630 +2710 +2730 +2740 +2620 +2670 +2620 +2660 +2710 +2630 +2570 +2570 +2580 +2640 +2610 +2640 +2670 +2690 +2750 +2740 +2710 +2750 +2800 +2850 +2950 +2850 +2820 +2880 +2900 +2890 +2910 +2940 +2900 +2820 +2840 +2890 +2890 +2930 +2910 +2940 +2960 +2970 +2900 +2910 +2880 +2870 +2860 +2780 +2710 +2780 +2720 +2650 +2550 +2590 +2550 +2600 +2650 +2610 +2600 +2510 +2510 +2490 +2410 +2380 +2390 +2450 +2370 +2370 +2330 +2260 +2310 +2270 +2210 +2120 +2230 +2180 +2090 +2000 +1880 +1960 +2110 +2130 +2060 +1970 +1870 +1850 +1870 +1840 +1880 +1970 +1900 +1900 +1960 +1910 +1900 +1920 +1960 +1890 +1890 +1790 +1750 +1640 +1560 +1740 +1760 +1900 +1810 +1930 +2100 +2140 +2070 +2120 +2140 +2050 +2060 +2140 +1990 +2010 +2070 +2100 +2190 diff --git a/data-raw/IBV.txt b/data-raw/IBV.txt new file mode 100644 index 00000000..cdbd667a --- /dev/null +++ b/data-raw/IBV.txt @@ -0,0 +1,1499 @@ +x +4097.9 +3967.9 +4036.6 +3827.3 +3627.8 +3270 +3499.1 +3840.6 +4103.8 +4056.4 +4209.7 +4078.5 +3809.3 +3862.3 +3758.4 +3840.2 +3840.2 +3926.8 +3784.3 +3580.7 +3885 +3989.8 +3897.8 +3944.3 +3829.8 +3637.4 +3556.2 +3401.5 +3307.7 +3294.9 +3192.2 +3069.4 +2863.8 +3023.2 +2961.6 +2793 +2872.3 +3217.4 +3270.8 +3270.8 +2989 +2988 +2867.1 +2615.7 +2363.3 +2138.2 +2686.1 +2670.8 +3016.9 +2939.4 +3141.7 +2981.1 +2870 +3006.1 +3003.9 +3145.6 +3361.2 +3372.2 +3255.7 +3198.1 +3125.5 +2978.9 +2893.5 +3125.1 +3180.3 +3254.5 +3192.6 +3114 +3017.7 +3020.7 +3113.1 +3193.9 +3330.6 +3384.2 +3512.8 +3699.1 +3825.8 +3851 +3813.7 +3861.5 +3975.9 +4043.9 +4008.2 +3914.2 +4065.4 +4050.4 +3951 +3998.3 +3894 +3835.1 +3964.3 +4008 +3950 +4033.7 +4048.7 +4099.5 +4018.9 +3904.9 +3896.3 +3706.8 +3720.5 +3773.5 +3966.4 +4062.8 +3933.2 +3808.1 +3818.4 +3670.6 +3704.7 +3789.2 +3665 +3717.8 +3696.1 +3576.9 +3631.6 +3598.8 +3585.6 +3537 +3661.3 +3715.4 +3678 +3603.3 +3594.3 +3633.6 +3700.3 +3820.9 +3961.7 +3958.4 +3889.2 +4026.4 +4007.5 +4026.8 +4016.1 +3919.1 +3829.4 +3939 +3862.3 +3899.6 +3917.9 +3878.8 +3912.8 +3888.3 +3877.4 +3870.8 +3918.4 +4025.5 +4200.3 +4393.8 +4310.7 +4279.7 +4337 +4193 +4081.2 +4156.3 +4223.3 +4229.1 +4235.3 +4298.9 +4305.5 +4471.1 +4445 +4459.2 +4514.9 +4367.8 +4236 +4310.5 +4449.9 +4520.1 +4563.1 +4550 +4531.6 +4638.6 +4703.6 +4737.3 +4810.5 +4801.8 +4851.3 +4861.2 +4776.6 +4693.5 +4673.7 +4579 +4543.9 +4548 +4566.6 +4670.1 +4538 +4504.2 +4426.3 +4498.6 +4514.6 +4456.6 +4409.5 +4500.6 +4513.6 +4549.6 +4620.9 +4601.7 +4585 +4668.8 +4563.9 +4528.1 +4343.7 +4060.2 +4140.6 +4069 +4128.3 +4099.8 +4158.7 +4094.3 +4111.2 +4117 +4112.9 +3957.9 +3787 +3797.3 +4003.6 +4063.5 +3966 +4059.5 +4105.7 +4191 +4081.6 +4105.1 +4049.8 +4182.4 +4378.5 +4345.9 +4334.1 +4281 +4303.6 +4318.7 +4299.2 +4306.2 +4365.6 +4369.7 +4183.3 +4158.6 +4056 +4034.9 +4205.7 +4252 +4343.2 +4364 +4346.2 +4299 +4299 +4390 +4681.4 +4684 +4694.3 +4741 +4653.8 +4622.1 +4748.6 +4846.5 +4895.4 +4846.7 +4836.2 +4833.8 +4909 +4893.8 +4985.2 +4945.2 +4945.2 +4907.7 +4934.8 +5133.4 +5151.5 +5269.3 +5410.9 +5332.9 +5354 +5283 +5322.6 +5305.4 +5338.9 +5385.5 +5330.8 +5273.7 +5172.9 +5172.9 +5237.7 +5274.3 +5245.2 +5193 +5199.2 +4957.7 +5083.3 +5152.6 +5197.9 +4975.3 +4755.9 +4721.9 +4771.7 +4739.4 +4805.5 +4841.2 +4852.5 +4886.9 +4851.5 +4868.3 +4979.7 +5051.2 +5031.6 +4981.7 +5039.6 +4980.5 +4954.9 +5009.2 +4985.5 +4977.5 +4853.6 +4866.4 +4889.5 +4885.1 +5015.5 +5022.3 +4989.3 +5003.9 +5002 +5075.6 +5079.6 +5061.9 +5047 +5121.8 +5142.6 +5149.3 +5164.1 +5146 +5101.4 +5153 +5283.9 +5360.5 +5388.5 +5345.4 +5480.2 +5428.1 +5448.3 +5475.6 +5560.3 +5655.6 +5601.9 +5681.5 +5530.8 +5600.6 +5627.9 +5710.8 +5625.7 +5687.7 +5727.9 +5635 +5599.4 +5567.8 +5530.2 +5457.1 +5413.4 +5532.4 +5503.7 +5634.8 +5804.8 +5834.6 +5817.1 +5823 +6053.1 +6201.8 +6082.4 +6227.1 +6181.5 +6043.8 +6156.1 +6245.5 +6355.8 +6432 +6286.4 +6338.7 +6487.9 +6444.7 +6508.5 +6652.1 +6432.9 +6293.4 +6214.6 +6188.7 +6411.6 +6299.1 +6222.5 +6050.9 +6096.3 +5968.4 +5909.3 +6143.3 +6123.2 +6277.3 +6363.5 +6244.1 +6130.7 +6165.2 +6257.2 +6222.7 +6304.1 +6227.7 +6227.1 +6348.4 +6352.8 +6292.1 +6337.1 +6314.7 +6248.9 +6202.7 +6028 +6126.1 +6294.7 +6270 +6259.4 +6232.5 +6270 +6276.8 +6254 +6334.6 +6382.7 +6415.7 +6358 +6390.9 +6464.2 +6534.2 +6512.4 +6489.6 +6560.2 +6588.2 +6551.7 +6557 +6513.8 +6535.9 +6458.8 +6446.8 +6521.7 +6605.8 +6626.9 +6612.6 +6651.5 +6631 +6626.7 +6608.6 +6631.3 +6744.9 +6733.5 +6766 +6798.1 +6798.9 +6675.6 +6648.6 +6588.8 +6503.3 +6401 +6549.7 +6543.2 +6533.1 +6641.1 +6658.5 +6697.5 +6704.6 +6666.6 +6559.5 +6582.9 +6523.3 +6570.9 +6522.9 +6556.2 +6556.9 +6541.3 +6625.9 +6645.2 +6649.2 +6631.5 +6591.8 +6644.8 +6666 +6735.6 +6836.8 +6797.6 +6947.1 +6872.9 +6836.3 +6855.8 +6677.7 +6657.4 +6680.1 +6654.3 +6784.5 +6910.4 +6891.6 +6942.2 +6912.5 +6912.5 +6957.7 +7006.8 +7039.9 +7039.9 +6955.5 +6997.7 +7159.5 +7297.4 +7427 +7454.2 +7478.3 +7411.7 +7621.1 +7667.5 +7655.8 +7816.2 +7835.4 +7904.9 +7817.5 +7890.6 +7759.7 +7759 +7849.7 +7736.9 +7788.8 +7964.6 +8095.9 +8102.2 +8171.1 +8147.8 +8316.5 +8670.6 +8764.9 +8699.9 +8816 +8950.2 +8771.3 +8701.8 +8719.5 +8959.2 +9149.1 +8927.8 +8776.7 +8828.7 +8978 +8961 +9074 +9125 +9180 +9419 +9565 +9317 +9314 +9499 +9263 +9172 +9087 +9302 +9301 +9327 +9380 +9271 +9044 +9138 +9237 +9302 +9705 +9836 +9737 +9819 +9732 +9517 +9455 +9490 +9565 +9418 +9422 +9473 +9634 +9708 +9731 +9761 +9858 +9982 +10074 +9993 +10218 +10179 +10437 +10491 +10681 +10647 +10282 +10353 +10498 +10505 +10640 +10714 +10745 +10764 +10960 +11133 +11300 +11344 +11360 +11110 +11029 +11106 +11333 +11396 +11428 +11489 +11851 +11828 +11953 +12118 +12205 +12205 +12121 +12238 +12587 +13053 +12873 +12757 +12567 +13002 +13259 +13284 +13493 +13502 +13617 +13617 +13608 +13153 +12698 +11617 +12640 +11728 +11181 +11291 +12235 +12426 +12524 +12522 +12937 +13043 +13018 +12872 +12259 +12016 +11908 +12523 +12322 +12128 +11948 +11809 +11850 +11904 +11334 +11337 +11211 +10848 +11180 +11157 +11421 +11626 +11719 +11267 +10609 +10109 +11062 +11119 +11430 +11838 +11684 +11734 +11361 +11093 +11292 +10864 +11204 +11524 +11713 +11649 +11697 +11516 +11482 +11384 +11533 +11614 +11797 +12173 +12396 +12540 +12688 +12480 +12432 +12684 +12737 +12697 +12895 +12830 +12578 +12487 +12703 +13015 +12955 +11899 +11545 +9816 +10447 +9818 +8854 +8986 +9858 +10254 +9988 +9434 +8832 +9006 +8710 +7822 +8072 +8731 +9083 +9027 +9332 +9188 +9422 +9070 +9150 +9372 +9619 +9394 +9648 +9964 +9991 +10046 +10080 +10078 +9840 +9461 +9108 +9146 +9550 +9742 +9853 +9482 +9139 +9494 +9554 +9554 +9794 +10051 +10196 +10196 +10479 +10606 +10184 +9879 +9657 +9118 +9227 +9415 +9349 +9140 +9448 +9752 +9568 +9385 +9709 +9467 +9513 +9651 +9773 +9785 +9720 +9973 +10054 +9971 +9948 +10010 +10239 +10278 +10485 +10350 +10391 +10233 +10420 +10322 +10235 +10318 +10545 +10556 +10570 +10845 +10939 +10898 +10947 +11159 +11166 +11180 +11223 +11356 +11566 +11600 +11808 +11894 +11831 +11919 +12038 +11905 +11756 +11945 +11899 +11750 +11946 +11836 +11857 +11634 +11948 +11847 +11974 +12120 +12269 +12299 +12090 +12108 +12028 +11703 +11572 +11728 +11057 +11377 +11527 +11677 +11507 +11554 +11164 +11063 +11220 +10983 +10797 +10779 +10733 +10906 +10204 +10343 +10408 +10268 +10239 +10015 +9436 +9747 +10152 +9846 +9605 +10150 +9855 +10191 +10369 +10540 +10369 +9868 +9584 +9073 +9248 +9897 +9539 +9686 +9619 +9937 +9855 +9527 +9464 +9603 +9678 +9914 +9900 +10115 +10018 +10205 +10335 +10335 +10326 +10419 +10641 +10648 +10907 +11057 +11041 +10922 +10912 +10639 +10574 +10564 +10318 +10542 +10939 +10707 +10412 +9859 +9828 +9689 +9319 +9182 +8801 +8417 +8710 +8743 +8609 +8642 +8541 +7991 +7763 +7655 +7651 +7347 +6616 +6746 +6472 +6917 +6804 +6218 +5837 +5816 +5655 +4760 +5398 +5818 +6905 +6759 +6432 +6709 +6449 +6559 +7280 +6844 +6711 +6827 +6868 +6593 +5960 +6409 +6122 +6336 +6156 +6175 +6527 +6618 +6445 +6874 +6707 +6844 +6973 +7350 +7603 +7272 +6971 +6869 +6826 +6538 +7047 +7509 +7655 +8092 +8214 +8242 +8000 +7762 +7470 +7615 +8003 +8330 +8547 +8317 +8531 +8635 +8606 +8909 +8953 +9093 +8631 +8544 +8448 +7706 +7626 +7945 +7629 +7572 +7530 +7195 +6583 +6934 +6618 +6645 +6781 +7201 +7115 +7176 +7176 +6898 +6715 +6784 +6784 +6941 +7110 +7330 +6954 +6781 +6403 +5915 +5617 +5057 +6746 +7113 +7380 +7674 +7321 +7189 +7189 +7645 +7687 +7987 +8171 +8891 +8731 +8676 +8652 +8435 +8824 +8673 +8853 +8990 +8952 +8974 +8860 +9013 +9074 +8942 +8953 +8674 +8910 +9198 +9070 +9154 +9508 +9465 +9785 +9484 +9778 +9697 +9574 +10413 +10658 +10634 +10894 +10835 +10527 +10416 +10428 +10937 +10865 +10868 +11027 +10696 +11021 +11165 +11529 +11465 +11328 +11429 +11217 +11305 +11245 +11428 +11196 +10989 +11083 +11031 +10797 +10885 +11127 +11085 +11350 +11436 +11268 +11578 +11888 +12233 +12412 +12267 +12147 +12459 +12335 +12151 +12267 +12118 +12088 +11727 +11154 +10602 +11245 +10936 +10929 +11089 +11050 +10996 +11233 +11047 +11032 +10889 +11089 +11104 +11084 +11183 +11643 +11628 +11877 +12005 +11974 +11792 +11430 +11219 +11264 +11379 +11626 +11708 +11835 +11936 +11674 +11745 +11509 +11509 +11273 +11302 +11349 +11361 +11407 +11451 +11274 +11302 +11238 +10989 +10675 +10734 +10691 +10568 +10441 +10211 +10264 +10172 +10195 +10038 +9948 +9834 +10136 +10045 +10180 +10118 +9924 +9689 +9818 +10142 +10180 +10314 +10650 +10496 +10545 +10524 +10564 +10902 +10998 +11156 +11185 +11090 +11292 +11363 +11477 +11459 +11263 +11094 +11290 +11586 +11449 +11531 +11385 +11532 +11542 +11442 +11433 +11106 +10959 +11055 +10923 +11345 +11338 +11459 +11478 +11297 +11330 +11146 +10978 +11097 +11274 +11253 +11460 +11394 +11469 +11530 +11700 +11700 +11762 +12346 +12406 +12714 +12960 +12879 +13101 +13189 +13114 +13128 +12812 +13087 +13462 +13435 +13565 +13392 +13536 +13888 +13854 +13778 +13874 +14213 +14408 +14344 +14299 +14410 +14584 +14783 +14811 +14644 +14322 +14497 +14788 +15110 +15591 +15916 +15953 +15953 +16011 +16376 +16772 +17091 +17091 +16930 +15851 +16245 +16106 +16309 +17022 +16572 +16616 +17298 +17657 +18053 +17903 +17470 +17176 +17034 +16971 +16971 +17105 +17081 +16734 +16388 +16522 +16868 +17457 +17932 +18125 +18685 +18361 +18603 +18083 +17819 +17920 +18112 +17979 +17625 +17699 +17489 +17833 +17775 +17786 +17542 +17660 +17953 +18015 +18631 +18282 +18650 +18280 +17594 +17221 +17381 +17642 +17511 +17525 +18342 +18314 +18331 +18674 +18951 +18337 +18053 +17646 +17820 +17245 +16757 +16714 +17146 +17513 +16783 +16539 +16323 +15500 +14794 +14815 +15408 +14926 +15203 +14794 +15400 +15446 +15440 +15537 +15524 +15108 +14969 +15217 +14890 +14581 +14433 +14498 +14458 +15055 +15360 +14870 +14626 +14326 +13891 +13587 +14166 +14185 +14542 +14772 +15248 +14956 +15450 +16222 +16022 +15946 +16271 +16398 +16342 +16096 +16354 +16366 +16561 +16424 +16850 +16843 +17254 +16977 +16744 +16512 +16842 +16407 +16727 +17088 +17279 +17134 +17348 +17598 +17471 +16880 +17053 +16444 +16880 +17387 +17368 +16927 +17203 +17318 +17385 +17049 +17121 +16948 +16485 +16454 +16289 +16314 +16720 +16761 +16995 +16884 +16533 +16834 +17395 +17810 +17744 +17330 +17702 +17313 +17083 +17224 +17450 +17310 +17642 +17460 +17354 +17414 +17346 +17577 +17613 +17424 +17589 +17433 +17287 +16882 +16998 +16768 +16563 +15913 +16188 +16077 +16146 +16353 +16318 +16254 +15848 +16013 +15928 +15559 +15633 +15876 +16362 +15945 +15855 +15747 +15526 +15385 +15241 +14870 +14420 +14845 +14529 +13989 +13799 +13665 +14223 +14691 +14891 +14867 +14791 +14533 +14800 +14968 +14656 +14524 +14625 +14371 +14540 +14489 +14323 +14499 +14783 +14576 +14314 +14335 +14008 +13913 +13787 +13287 +13437 +13510 +14181 +13945 +14459 +14982 +15187 +14906 +15290 +15259 +14987 +15082 +15336 +14622 +14505 +14652 +14794 +15186 diff --git a/data-raw/IBVSP.txt b/data-raw/IBVSP.txt new file mode 100644 index 00000000..16738635 --- /dev/null +++ b/data-raw/IBVSP.txt @@ -0,0 +1,88 @@ +x +3623.1 +4478.997868 +6001.576577 +6436.619718 +5677.988166 +5503.546099 +5146.453901 +4619.524376 +3848.094118 +3328.446927 +4181.721491 +4099.834711 +3912.47557 +4147.037433 +4537.378947 +4900.4617 +4294.143957 +4532.681159 +4424.205002 +5266.34635 +5046.05598 +5019.175446 +5205.221248 +5738.893898 +6020.410399 +6049.486268 +6157.806198 +6314.270323 +6360.153816 +6454.386135 +6778.960039 +7617.339327 +8400.313987 +8537.238059 +9386.35637 +10599.67299 +11673.43489 +11887.02558 +9721.845505 +10763.87774 +8149.387866 +8467.579991 +9136.693548 +8652.563646 +9354.725664 +10507.09763 +10204.57922 +8561.472915 +8368.586252 +9206.577816 +5501.18147 +5561.142038 +5908.283032 +7187.833111 +5614.772821 +3986.126829 +4378.732187 +6227.860262 +6817.153153 +6443.701336 +6634.487874 +5797.834536 +5505.263158 +5732.289032 +6003.181119 +7165.293812 +9500.611451 +9186.25 +9997.282763 +10265.19009 +8598.561151 +8199.895833 +9262.430786 +9236.373842 +9512.859885 +8637.955531 +7820.741715 +6710.80303 +7825.276923 +8961.850913 +7767.062561 +6679.5198 +6725.671776 +6208.670961 +6351.607556 +5652.239665 +5054.757312 diff --git a/data-raw/Petro.txt b/data-raw/Petro.txt new file mode 100644 index 00000000..9c337c8a --- /dev/null +++ b/data-raw/Petro.txt @@ -0,0 +1,1499 @@ +x +8278.564 +7944.077 +8027.698 +7400.534 +7191.48 +6438.883 +6606.127 +7442.345 +8278.564 +8069.509 +8278.564 +8027.698 +7400.534 +7609.589 +7191.48 +7358.724 +7358.724 +7902.266 +7609.589 +7066.047 +7693.211 +7944.077 +7818.644 +8111.32 +7902.266 +7525.967 +7484.156 +7107.858 +7024.236 +7358.724 +7149.669 +6856.992 +6564.316 +6940.614 +6773.371 +6273.312 +6522.505 +7358.724 +7234.127 +7234.127 +6606.127 +6564.316 +6271.639 +5309.988 +4682.824 +4264.715 +5268.177 +5059.122 +5811.719 +5603.501 +6104.396 +5978.963 +5477.232 +5686.286 +5561.69 +5935.48 +6188.018 +6071.875 +5896.243 +5728.973 +5478.069 +5227.165 +5018.079 +5728.973 +5728.973 +5812.608 +5603.521 +5352.617 +5101.714 +5185.348 +5436.252 +5561.704 +5678.793 +5687.156 +5979.877 +6357.906 +6690.772 +7025.31 +7108.945 +7276.214 +7527.118 +7903.474 +7778.022 +7527.118 +7861.657 +7736.205 +7401.666 +7568.936 +7192.58 +6983.493 +7359.849 +7652.57 +7568.936 +7861.657 +7861.657 +7945.292 +7819.84 +7819.84 +7694.388 +7234.397 +7108.945 +7443.484 +7903.474 +8238.013 +7861.657 +7568.936 +7569.772 +7276.214 +7108.945 +7150.762 +6899.858 +6933.312 +6694.117 +6565.32 +6816.224 +6648.954 +6607.137 +6481.685 +6690.772 +6607.137 +6690.772 +6523.503 +6523.503 +6773.57 +6983.493 +7292.941 +7527.118 +7627.48 +7527.118 +7861.657 +7694.388 +7860.821 +7736.205 +7401.666 +7150.762 +7359.849 +7231.888 +7401.666 +7359.849 +7234.397 +7276.214 +7277.051 +7276.214 +7108.945 +7192.58 +7443.484 +7778.022 +8112.561 +7903.474 +7736.205 +7778.022 +7443.484 +7234.397 +7318.032 +7483.628 +7359.849 +7276.214 +7527.118 +7694.388 +7945.292 +7778.022 +7903.474 +8027.253 +7669.297 +7527.118 +7652.57 +7778.022 +7903.474 +7962.018 +7945.292 +7861.657 +8028.09 +8112.561 +8405.282 +8948.907 +9115.34 +9283.446 +9074.359 +8906.254 +8614.369 +8530.734 +8447.099 +8321.647 +8279.83 +8279.83 +8447.099 +7945.292 +8070.744 +7945.292 +8112.561 +8112.561 +7987.109 +7861.657 +7987.109 +7903.474 +7819.84 +8114.234 +8028.926 +7970.382 +8070.744 +7945.292 +7736.205 +7401.666 +6899.858 +7025.31 +6858.041 +6942.512 +6858.041 +6941.676 +6858.041 +6816.224 +7024.474 +7025.31 +6689.935 +6439.868 +6523.503 +6766.043 +6732.589 +6565.32 +6482.522 +6439.868 +6774.406 +6648.954 +6607.137 +6314.416 +6439.868 +6858.041 +7108.109 +7067.128 +6983.493 +6899.858 +7025.31 +6899.858 +6941.676 +7024.474 +7033.674 +6732.589 +6690.772 +6648.954 +6605.464 +6899.858 +6858.041 +7098.909 +7067.128 +7042.037 +6940.839 +6940.839 +7108.945 +7778.022 +7903.474 +8028.926 +8112.561 +8028.926 +7903.474 +8110.052 +8447.099 +8572.551 +8406.118 +8363.465 +8279.83 +8363.465 +8279.83 +8321.647 +8154.378 +8154.378 +7945.292 +7945.292 +8363.465 +8530.734 +9032.542 +9576.167 +9408.898 +9491.696 +9291.809 +9325.263 +9283.446 +9449.879 +9408.898 +9282.61 +9074.359 +8865.273 +8865.273 +9157.994 +9367.081 +9534.35 +9533.513 +9617.148 +9157.994 +9325.263 +9576.167 +9910.706 +9534.35 +9283.446 +9157.994 +9197.302 +9199.811 +9367.081 +9534.35 +9699.946 +9704.128 +9534.35 +9617.148 +9617.148 +9705.127 +9831.472 +9831.472 +10039.82 +10040.65 +9873.308 +9956.98 +9747.8 +9746.963 +9536.946 +9454.111 +9413.111 +9413.111 +9580.456 +9538.619 +9622.292 +9704.29 +9705.127 +9831.472 +9873.308 +9789.636 +9622.292 +9664.128 +9664.128 +9664.128 +9664.128 +9789.636 +9747.8 +9873.308 +10165.32 +10166.16 +10500.85 +10625.52 +10793.7 +10710.03 +10752.7 +10875.7 +10584.52 +10835.54 +10541.85 +10542.68 +10291.67 +10292.51 +10375.34 +10457.34 +10208.83 +10249.83 +10082.49 +10166.16 +10166.16 +9998.816 +10040.65 +9915.144 +9956.98 +10207.16 +10124.32 +10375.34 +10500.85 +10459.01 +10375.34 +10416.34 +10751.86 +10835.54 +10626.36 +10710.03 +10709.19 +10333.5 +10291.67 +10751.86 +11002.88 +11212.9 +10961.05 +10919.21 +11085.72 +10793.7 +10541.85 +10417.18 +9956.98 +9705.964 +9789.636 +9705.964 +9873.308 +9763.697 +9622.292 +9413.111 +9538.619 +9664.128 +9413.111 +9580.456 +9496.783 +9623.128 +9998.816 +10082.49 +10249.83 +10333.5 +10125.16 +10207.16 +10417.18 +10333.5 +10333.5 +10459.01 +10584.52 +10499.18 +10500.85 +10500.85 +10291.67 +9956.98 +9538.619 +9873.308 +10040.65 +10166.16 +10166.16 +9999.653 +10040.65 +10124.32 +10039.82 +10082.49 +10290.83 +10374.5 +10000.49 +10081.65 +10165.32 +10291.67 +10208 +10083.32 +10166.16 +10082.49 +9957.817 +10082.49 +9956.98 +9831.472 +9789.636 +10039.82 +10123.49 +10290.83 +10374.5 +10375.34 +10249.83 +10208 +9999.653 +10123.49 +10166.16 +10333.5 +10710.03 +11210.39 +11039.7 +11379.41 +11002.88 +10877.37 +10877.37 +10709.19 +10626.36 +10874.86 +10793.7 +11128.39 +11253.06 +11170.23 +11002.88 +10919.21 +10793.7 +10500.85 +10793.7 +10793.7 +10876.54 +10877.37 +11337.57 +11212.06 +11295.73 +11630.42 +11880.6 +11881.44 +11755.93 +11672.26 +11714.09 +11881.44 +12006.95 +12341.63 +12341.63 +12843.67 +12926.5 +12843.67 +12760 +12550.82 +12760 +12676.32 +13011.01 +13011.01 +13221.03 +13220.19 +13261.19 +13303.86 +13303.86 +13680.39 +13764.06 +13847.73 +13847.73 +13722.22 +14015.08 +14643.45 +15060.98 +15144.65 +14891.96 +14935.47 +14809.96 +15688.52 +15730.35 +15604.85 +16232.39 +16316.06 +16190.55 +15730.35 +16023.21 +15730.35 +15730.35 +15897.7 +15814.03 +16065.04 +16818.09 +17487.47 +17320.12 +17403.8 +17403.8 +18072.34 +18700.71 +18575.21 +18574.37 +18658.88 +18909.89 +18407.86 +17988.66 +17654.81 +18115.01 +18575.21 +18073.17 +17738.49 +17989.5 +17738.49 +17989.5 +18156.85 +18240.52 +18324.19 +18407.86 +18324.19 +17738.49 +17822.16 +18115.01 +17612.98 +17529.31 +17738.49 +18491.53 +18491.53 +18163.56 +18582.08 +18247.26 +17619.49 +17577.64 +17200.98 +17075.42 +17284.68 +17535.79 +17786.9 +18038.01 +18079.86 +17576.8 +17535.79 +17493.94 +17410.23 +17075.42 +17200.98 +17619.49 +17954.3 +18246.43 +18330.97 +18456.52 +18707.63 +18707.63 +19126.15 +19084.29 +19042.44 +19000.59 +19000.59 +18624.76 +19000.59 +19419.94 +18916.89 +19335.4 +20171.6 +20297.99 +21176.87 +20549.1 +20507.25 +20256.14 +20423.54 +20423.54 +20925.76 +21427.98 +20925.76 +20674.65 +20590.95 +20842.06 +21761.95 +22181.31 +22265.01 +23436.01 +24776.1 +25278.32 +25780.54 +25947.94 +25864.24 +24859.8 +24441.29 +24859.8 +25947.94 +26701.27 +25947.94 +25278.32 +25028.05 +25445.72 +26115.35 +25362.02 +25864.24 +26366.46 +27454.6 +27454.6 +27203.49 +26533.86 +25613.13 +23520.55 +25947.94 +24524.99 +23687.96 +23687.96 +25696.83 +26450.16 +26366.46 +26784.14 +27454.6 +27621.17 +28040.52 +27538.3 +25947.94 +25948.78 +25110.91 +25780.54 +25529.43 +25278.32 +25361.18 +25445.72 +26115.35 +26616.73 +25195.45 +24608.69 +24273.88 +23436.85 +23939.91 +23771.66 +23855.37 +24106.48 +25278.32 +24273.88 +22265.01 +21176.87 +23521.39 +23772.5 +24106.48 +24859.8 +24943.51 +25277.48 +24190.18 +23353.15 +23856.35 +23020.09 +24107.47 +24944.57 +25112.82 +25278.57 +25447.66 +25195.7 +25196.53 +25029.12 +25531.37 +25447.66 +26117.34 +26453.01 +27162.87 +27204.72 +26786.18 +26285.59 +26284.76 +26703.3 +26620.43 +26284.76 +26786.18 +26703.3 +26116.5 +26117.34 +26787.01 +27121.85 +26954.43 +25029.95 +24191.18 +19671.71 +21346.74 +21261.35 +18500.62 +17160.43 +19671.71 +20759.94 +20507.97 +19419.75 +18416.07 +19169.46 +18750.91 +16741.05 +16993.01 +17745.56 +18918.33 +18834.62 +19002.04 +18667.2 +19420.58 +18082.07 +18332.36 +19002.04 +20340.55 +20341.39 +20592.52 +22266.7 +21931.87 +21764.45 +21931.03 +22183 +21764.45 +21094.77 +19671.71 +19922.84 +20843.64 +21178.48 +20843.64 +19922.84 +18750.91 +19336.88 +19922.84 +19922.84 +20507.13 +21345.9 +21848.16 +21848.16 +22475.98 +22810.82 +22183 +21513.32 +20927.35 +19420.58 +19336.88 +20090.26 +20173.97 +19588 +20299.53 +21011.06 +20173.97 +19922.84 +20090.26 +19922.84 +20090.26 +20508.81 +20759.94 +20508.81 +20090.26 +19922.84 +20132.11 +19922.84 +20090.26 +20383.24 +20676.23 +20592.52 +21261.35 +21094.77 +21094.77 +20927.35 +21262.19 +20927.35 +21262.19 +21763.61 +21680.74 +21513.32 +21429.61 +21638.88 +21571.92 +21429.61 +21513.32 +21555.17 +21680.74 +22350.41 +22434.12 +22768.96 +22936.38 +23020.09 +23187.51 +23061.94 +23061.94 +23355.88 +23272.17 +23026.17 +22523.78 +22774.14 +22942.44 +22272.59 +22691.25 +22607.51 +23193.63 +22691.25 +23277.37 +23444.83 +23947.22 +24197.58 +24699.96 +24700.8 +24365.88 +24282.14 +24030.95 +23612.29 +23695.19 +24198.41 +23402.13 +24114.68 +24030.95 +24282.14 +23444.83 +23444.83 +22858.71 +22105.12 +22021.39 +21519 +21100.35 +20974.75 +20932.88 +21309.67 +19928.1 +20137.43 +19844.37 +19676.91 +19509.45 +18839.59 +17583.62 +18002.28 +19258.25 +18588.4 +18839.59 +20011.84 +19844.37 +20095.57 +20345.92 +20514.23 +20011.84 +19174.52 +18253.47 +17333.26 +17416.16 +18337.21 +17499.89 +18086.01 +17667.35 +18169.74 +18086.01 +17918.55 +17583.62 +17943.67 +18002.28 +18337.21 +18420.94 +19090.79 +19760.64 +20514.23 +20932.88 +20932.88 +21016.61 +21016.61 +21686.47 +21770.2 +22356.32 +22523.78 +23109.07 +23277.37 +23277.37 +22272.59 +21937.66 +21770.2 +21853.93 +21686.47 +21938.5 +21351.54 +20523.44 +19844.37 +19258.25 +18588.4 +17415.32 +16913.77 +16662.57 +16201.21 +16578.84 +16662.57 +16202.05 +16118.32 +15826.1 +14987.94 +14150.63 +13397.05 +13062.12 +12141.07 +10550.17 +10466.44 +10047.78 +11052.56 +11722.41 +11136.29 +10718.47 +10132.35 +9880.321 +8205.69 +9461.663 +10633.9 +12558.89 +11303.76 +9629.126 +10005.92 +9712.858 +9964.052 +11554.95 +10885.1 +10298.98 +10591.2 +10550.17 +10214.41 +9294.2 +9796.589 +9336.066 +9796.589 +9629.126 +9712.858 +10381.87 +11010.7 +10926.96 +11554.95 +11638.68 +11889.88 +12810.92 +13983.17 +14065.22 +13145.85 +12225.64 +12057.34 +12224.8 +11680.55 +12559.73 +13690.11 +14233.52 +15155.41 +15404.93 +15574.06 +15239.14 +14987.94 +14234.36 +14644.64 +15406.6 +15908.15 +16242.24 +15657.8 +15424.19 +15574.06 +15489.5 +15908.99 +15406.6 +15281 +14318.09 +14611.15 +14904.21 +13564.51 +13313.31 +13899.43 +13397.05 +12810.92 +12810.92 +12308.54 +11136.29 +11554.95 +11052.56 +10968.83 +11135.46 +11764.28 +12141.07 +12308.54 +12308.54 +11680.55 +11220.03 +11471.22 +11471.22 +11136.29 +11553.28 +11931.74 +11621.94 +11210.81 +10508.31 +9964.052 +9001.14 +7284.643 +8790.974 +9210.469 +9377.932 +9922.187 +9712.858 +9294.2 +9294.2 +9588.098 +9587.26 +10884.26 +11387.49 +12643.46 +13271.45 +13062.12 +12978.39 +12434.13 +13229.58 +12936.52 +12978.39 +12852.79 +12560.57 +12727.19 +12978.39 +13480.78 +14318.09 +14150.63 +13690.11 +12978.39 +13489.99 +14318.09 +14150.63 +13917.02 +14820.48 +15071.68 +15825.26 +15783.39 +16578.84 +16997.5 +16914.61 +18337.21 +18337.21 +18169.74 +18337.21 +18672.13 +18002.28 +17751.08 +17205.99 +18426.71 +18384.83 +18996.27 +19851.43 +19934.35 +21023.2 +21942.86 +22949.63 +22874.25 +21944.54 +22195.81 +21994.79 +22112.05 +22028.3 +22572.72 +22195.81 +21148 +21190.72 +20939.45 +20436.9 +20101.03 +20311.26 +19851.43 +22371.7 +22447.09 +21944.54 +22276.22 +22488.13 +22949.63 +22530.84 +22447.09 +22279.57 +23167.4 +23033.39 +22371.7 +21609.51 +21106.96 +21149.68 +20604.41 +19932.68 +19004.64 +20436.9 +20854.85 +20520.66 +21064.24 +21106.96 +20771.93 +21023.2 +20521.49 +20353.14 +19691.45 +20101.87 +19934.35 +20018.95 +20110.24 +21065.08 +21441.99 +21777.02 +22715.95 +23284.66 +22991.51 +22363.33 +21777.02 +22003.17 +22196.65 +23033.39 +23326.54 +23662.41 +23452.18 +23829.09 +23870.97 +23284.66 +23284.66 +23033.39 +22865.87 +23201.74 +23033.39 +23368.42 +23368.42 +23368.42 +23242.78 +23284.66 +22279.57 +21609.51 +21860.78 +21900.99 +21359.07 +21534.96 +21107.8 +21776.19 +21777.02 +21567.63 +20478.78 +19892.47 +19532.32 +20361.52 +19850.59 +20277.76 +19976.23 +19808.72 +19683.92 +19976.23 +21190.72 +21190.72 +21190.72 +20981.32 +20771.93 +21190.72 +21106.96 +21525.75 +22195.81 +22781.28 +23283.83 +23075.27 +23159.03 +23451.34 +23452.18 +23787.21 +23745.33 +23619.69 +23569.44 +24792.3 +25336.73 +25294.01 +25797.4 +25546.12 +25378.61 +25378.61 +25244.6 +25085.46 +24038.48 +23862.59 +24457.27 +24122.24 +25144.92 +25294.85 +25336.73 +24415.39 +23870.97 +24038.48 +24038.48 +23284.66 +23745.33 +24289.76 +24541.03 +25713.64 +26048.67 +25964.91 +26291.57 +26308.32 +26006.79 +26383.7 +28058.86 +28896.44 +29901.53 +30655.35 +31074.14 +31157.9 +30965.25 +30780.99 +30864.74 +30320.32 +32246.75 +33586.87 +33586.87 +33586.87 +33084.32 +32456.14 +32669.72 +32330.5 +32539.9 +32657.16 +33168.08 +33377.48 +33335.6 +33503.11 +33419.36 +33335.6 +33754.39 +33754.39 +33419.36 +32414.26 +32833.05 +33503.11 +34178.2 +35555.18 +35848.33 +35552.67 +35552.67 +35345.78 +35932.09 +37272.21 +38528.58 +38528.58 +39363.65 +37020.94 +36811.55 +36685.91 +36853.42 +37608.08 +36687.58 +36015.85 +35680.82 +36183.36 +35764.57 +35932.09 +35680.82 +35262.03 +34843.24 +34591.96 +34591.96 +35010.75 +34927 +34424.45 +34173.18 +34843.24 +35513.3 +37020.94 +37439.73 +38026.03 +38528.58 +37691 +36853.42 +34843.24 +34759.48 +35848.33 +38109.79 +37691 +37230.33 +37186.78 +37020.94 +37273.05 +38278.14 +39283.24 +38444.82 +38528.58 +39616.59 +38444.82 +40455.01 +41418.22 +42875.61 +41627.62 +40036.22 +38947.37 +39784.95 +39701.19 +39282.4 +38109.79 +38863.61 +38955.74 +38778.18 +46500 +50000 +47900 +47701 +46600 +47200 +46801 +46550 +48500 +49200 +49600 +48400 +47201 +48200 +47198 +44590 +42900 +42603 +40700 +40800 +40000 +43600 +43000 +43000 +43010 +44100 +43900 +44000 +43900 +43950 +43990 +43200 +42162 +42450 +43200 +44600 +44151 +44300 +43300 +42050 +42330 +41800 +42500 +42010 +42400 +42530 +41900 +43901 +46503 +46499 +48150 +49998 +50207 +50200 +49900 +50100 +49300 +49100 +50499 +50400 +50900 +51500 +51510 +51600 +53200 +54500 +53200 +54500 +55750 +57200 +55800 +55810 +53650 +53850 +50710 +49820 +48450 +50000 +49290 +49000 +49400 +52010 +51700 +50500 +48450 +48860 +47990 +46650 +46820 +45360 +46310 +46640 +46000 +47540 +45800 +45140 +49900 +49900 +49700 +50400 +51400 +53220 +51800 +50950 +51500 +52690 +52500 +53500 +53010 +54250 +56400 +55100 +55250 +55160 +54810 +56900 +56500 +57700 +56650 +55190 +53990 +54300 +52900 +52620 +53510 +52510 +51790 +52000 +53210 +53150 +52900 +52700 +52360 +52600 +53000 +53240 +51800 +51700 +52850 +53000 +53640 +51900 +49500 +50000 +50900 +50000 +47950 +45980 +45800 +48900 +49370 +50710 +50610 +51180 +50100 +51190 +52200 +51310 +50000 +50310 +50800 +51000 +51800 +51900 +51610 +52200 +52100 +51000 +50510 +48760 +48400 +48380 +47500 +47200 +47100 +47790 +44600 +45190 +45200 +44950 +44800 +47000 +47500 +47290 +46680 +46320 +45410 +44700 +45000 +44700 +45200 diff --git a/data-raw/SP.txt b/data-raw/SP.txt new file mode 100644 index 00000000..497d193e --- /dev/null +++ b/data-raw/SP.txt @@ -0,0 +1,88 @@ +x +444.27 +458.26 +475.5 +462.71 +472.35 +453.69 +459.27 +470.42 +487.39 +500.71 +514.71 +533.4 +544.75 +562.06 +561.88 +584.41 +581.5 +605.37 +615.93 +636.02 +640.43 +645.5 +654.17 +669.12 +670.63 +639.95 +651.99 +687.31 +705.27 +757.02 +740.74 +786.16 +790.82 +757.12 +801.34 +848.28 +885.14 +954.29 +899.47 +947.28 +914.62 +955.4 +970.43 +980.28 +1049.34 +1101.75 +1111.75 +1090.82 +1133.84 +1120.67 +957.28 +1017.01 +1098.67 +1163.63 +1229.23 +1279.64 +1238.33 +1286.37 +1335.18 +1301.84 +1372.71 +1328.72 +1320.41 +1282.71 +1362.93 +1388.91 +1469.25 +1394.46 +1366.42 +1498.58 +1452.43 +1420.6 +1454.6 +1430.83 +1517.68 +1436.51 +1429.4 +1314.95 +1320.28 +1366.01 +1239.94 +1160.33 +1249.46 +1255.82 +1224.42 +1211.23 +1133.58 diff --git a/data-raw/TAM.txt b/data-raw/TAM.txt new file mode 100644 index 00000000..f3e620cc --- /dev/null +++ b/data-raw/TAM.txt @@ -0,0 +1,1499 @@ +x +NA +NA +NA +NA +NA +7.297728 +7.297728 +7.670061 +7.670061 +7.670061 +7.670061 +8.56366 +8.56366 +8.56366 +8.56366 +8.191327 +8.191327 +8.191327 +8.191327 +8.191327 +8.191327 +8.191327 +8.191327 +8.935993 +8.935993 +8.935993 +8.935993 +7.074328 +6.850928 +6.850928 +6.850928 +6.701995 +6.701995 +7.074328 +7.074328 +7.074328 +7.074328 +7.074328 +7.074328 +7.074328 +7.074328 +7.074328 +7.074328 +7.074328 +7.074328 +7.074328 +7.074328 +7.074328 +7.074328 +7.074328 +7.074328 +7.074328 +7.074328 +7.074328 +8.935993 +8.935993 +8.191327 +8.191327 +8.191327 +8.191327 +8.191327 +7.074328 +7.074328 +6.701995 +6.329662 +8.191327 +7.424321 +6.701995 +7.446661 +7.074328 +7.446661 +7.074328 +7.446661 +7.588148 +7.588148 +7.439214 +8.191327 +7.967927 +8.183881 +8.287655 +8.438339 +8.174641 +8.174641 +8.174641 +8.362997 +8.362997 +8.362997 +8.280121 +8.280121 +7.534232 +7.534232 +7.534232 +7.910943 +8.287655 +8.664366 +9.041078 +9.041078 +9.041078 +9.041078 +9.11642 +9.11642 +9.11642 +9.108886 +9.101352 +9.101352 +8.513682 +8.664366 +8.664366 +9.191763 +9.342447 +9.493132 +9.493132 +9.794501 +9.643817 +9.568474 +9.568474 +9.794501 +9.794501 +9.794501 +9.794501 +10.17121 +10.39724 +10.39724 +10.39724 +10.54792 +10.54039 +10.54039 +10.3219 +10.3219 +10.3219 +10.3219 +10.17121 +10.24656 +9.794501 +9.794501 +10.3219 +9.794501 +10.54792 +10.54792 +10.54792 +10.54792 +10.92464 +11.67806 +12.43148 +13.56162 +15.076 +16.49997 +16.42463 +15.06846 +15.06846 +15.82189 +16.1986 +16.1986 +16.42463 +16.42463 +16.57531 +16.57531 +17.32873 +17.74312 +18.83558 +19.21229 +19.43832 +19.96571 +19.96571 +20.34243 +21.09585 +21.47256 +21.84927 +22.6027 +22.6027 +24.10954 +24.86296 +25.9931 +27.80131 +27.49995 +26.74652 +25.9931 +26.29447 +26.29447 +25.9931 +25.91776 +25.23968 +25.23968 +24.10954 +23.51434 +24.10954 +24.10954 +24.10954 +22.6027 +22.6027 +22.97941 +22.6027 +22.6027 +22.6027 +22.6027 +22.6027 +22.6027 +22.6027 +22.6027 +22.97941 +22.97941 +22.6027 +22.6027 +22.6027 +24.10954 +24.71228 +24.71228 +24.71228 +21.09585 +21.09585 +22.6027 +22.6027 +22.45201 +22.45201 +21.09585 +22.52735 +21.47256 +22.22598 +22.22598 +22.22598 +22.22598 +21.84927 +21.84927 +21.84927 +21.84927 +22.0753 +22.0753 +22.06776 +22.6027 +22.30133 +21.47256 +21.47256 +21.47256 +21.47256 +20.79448 +21.09585 +20.79448 +19.589 +18.83558 +18.83558 +19.589 +18.83558 +18.83558 +19.589 +20.34243 +20.71914 +20.71914 +20.71914 +22.6027 +22.6027 +22.6027 +22.6027 +22.6027 +22.22598 +22.22598 +22.6027 +22.6027 +22.97941 +22.82872 +22.6027 +22.6027 +22.97941 +23.35612 +24.86296 +24.86296 +22.61023 +23.16776 +24.10954 +24.48625 +25.23968 +25.9931 +25.9931 +26.74652 +25.9931 +27.12323 +27.12323 +27.12323 +28.63008 +28.63008 +29.00679 +29.00679 +29.00679 +28.63008 +28.63008 +29.3835 +30.13693 +30.89035 +30.89035 +31.26706 +31.26706 +32.02048 +32.02048 +32.02048 +30.51364 +30.51364 +29.76022 +30.13693 +30.13693 +30.13693 +30.13693 +30.13693 +30.13693 +30.13693 +29.3835 +30.13693 +30.13693 +29.98624 +30.12939 +32.3972 +32.3972 +33.15062 +34.65747 +34.65747 +34.65747 +34.65747 +34.65747 +35.41089 +35.41089 +35.86294 +35.86294 +35.86294 +35.86294 +35.41089 +35.41089 +35.93829 +35.41089 +39.15857 +40.96838 +38.33049 +38.07439 +38.07439 +37.56218 +38.07439 +38.07439 +38.41586 +38.41586 +38.4244 +39.69639 +44.39166 +44.81851 +46.09904 +46.95272 +46.95272 +46.95272 +49.51378 +50.36746 +50.36746 +51.22115 +51.22115 +52.92852 +53.78221 +52.07484 +52.92852 +55.48958 +54.63589 +54.63589 +54.63589 +54.63589 +55.48958 +56.34327 +58.47748 +59.75801 +62.31907 +62.31907 +63.17275 +64.02644 +63.5996 +61.46538 +61.46538 +61.89222 +61.89222 +61.89222 +63.5996 +64.02644 +64.02644 +62.31907 +63.17275 +63.17275 +63.17275 +63.17275 +63.17275 +63.17275 +62.58371 +62.66054 +64.02644 +64.70939 +64.70939 +64.79476 +64.79476 +64.02644 +64.02644 +64.45328 +64.45328 +64.45328 +61.46538 +61.46538 +63.17275 +63.17275 +62.31907 +62.31907 +61.46538 +61.46538 +62.31907 +62.31053 +61.89222 +61.03854 +60.8678 +61.03 +61.03 +61.03 +59.75801 +59.75801 +60.61169 +60.61169 +60.61169 +59.75801 +59.74947 +59.74947 +59.74947 +59.74947 +59.74947 +59.74947 +59.74947 +59.74947 +59.74947 +59.74947 +59.74947 +59.75801 +59.75801 +59.75801 +52.91999 +52.91999 +52.92852 +52.92852 +53.78221 +53.78221 +53.78221 +53.78221 +53.78221 +53.78221 +53.78221 +53.78221 +53.78221 +53.78221 +53.78221 +53.78221 +53.78221 +53.78221 +53.78221 +53.78221 +53.78221 +51.22115 +51.22115 +52.07484 +51.30652 +55.48958 +55.48958 +43.12821 +46.09904 +44.90388 +42.68429 +41.82207 +40.97692 +40.29397 +38.41586 +35.85481 +32.44006 +35.42796 +38.41586 +35.86334 +37.51949 +38.37318 +37.56218 +39.26955 +39.01344 +37.14387 +36.70849 +37.98048 +38.41586 +39.26955 +39.26955 +39.69639 +39.26955 +39.26955 +38.84271 +39.26955 +40.80618 +41.83061 +42.68429 +42.68429 +43.11114 +44.81851 +45.24535 +46.95272 +46.95272 +47.79787 +48.23325 +49.08694 +49.08694 +48.58326 +49.1723 +49.85525 +48.9162 +49.08694 +46.09904 +48.65156 +46.95272 +46.44051 +46.52588 +46.10757 +46.09904 +46.52588 +46.52588 +46.09904 +46.44905 +45.9283 +46.36368 +46.52588 +46.52588 +46.69662 +46.95272 +46.53442 +49.08694 +49.94062 +50.36746 +52.07484 +52.07484 +52.07484 +49.51378 +49.51378 +49.51378 +51.22115 +51.22115 +50.36746 +50.36746 +50.35893 +50.35893 +49.51378 +49.51378 +49.51378 +49.51378 +47.80641 +49.51378 +51.22115 +51.22115 +49.94062 +50.36746 +49.51378 +48.83083 +48.83083 +49.51378 +48.64302 +49.94916 +50.36746 +49.51378 +50.36746 +50.36746 +49.85525 +49.94062 +50.36746 +51.22115 +52.07484 +53.78221 +52.92852 +53.35537 +52.92852 +51.22115 +51.22115 +51.22115 +53.35537 +53.34683 +58.50309 +58.05064 +58.90432 +58.90432 +64.02644 +62.31907 +62.31907 +64.84667 +64.37333 +63.42667 +64.84667 +64.8372 +63.42667 +63.42667 +64.37333 +63.9 +62.48 +64.184 +63.42667 +63.42667 +64.08933 +64.326 +64.37333 +63.42667 +63.42667 +63.14267 +64.36387 +64.36387 +63.42667 +62.48 +62.48 +62.00667 +62.00667 +63.332 +60.11333 +55.85333 +55.85333 +54.90667 +54.954 +57.74667 +61.43867 +64.36387 +64.37333 +63.9 +63.42667 +60.11333 +56.8 +55.85333 +56.32667 +61.53333 +63.42667 +60.58667 +62.01613 +62.196 +60.58667 +60.58667 +53.48667 +55.85333 +55.38 +52.0856 +55.38 +55.85333 +53.96 +53.96 +55.38 +55.85333 +55.85333 +52.06667 +56.32667 +55.85333 +52.30333 +53.01333 +54.43333 +53.01333 +56.8 +55.85333 +53.01333 +56.32667 +52.54947 +55.85333 +54.88773 +56.80947 +56.8 +56.8 +56.8 +56.8 +56.8 +55.85333 +55.85333 +55.85333 +55.85333 +54.90667 +53.96 +53.01333 +55.85333 +55.85333 +55.85333 +55.85333 +55.85333 +56.516 +55.85333 +55.85333 +55.85333 +55.85333 +55.85333 +55.85333 +55.85333 +55.85333 +55.85333 +55.85333 +55.85333 +55.85333 +56.3456 +56.61067 +56.8 +56.8 +61.53333 +56.07107 +56.07107 +58.69333 +61.52387 +61.52387 +61.52387 +61.52387 +61.52387 +58.69333 +57.74667 +57.74667 +57.74667 +57.74667 +58.68387 +56.80947 +56.80947 +56.8 +56.8 +56.8 +54.90667 +56.8 +56.8 +56.8 +56.8 +56.8 +56.8 +56.8 +55.85333 +52.06667 +53.96 +52.06667 +53.95053 +52.06667 +52.06667 +52.06667 +47.33333 +51.12 +50.16387 +50.17333 +48.75333 +47.33333 +46.38667 +46.38667 +45.44 +52.06667 +52.06667 +51.12 +51.12 +56.79053 +56.8 +59.64 +59.64 +59.64 +59.87667 +59.87667 +59.87667 +59.87667 +59.87667 +59.87667 +59.87667 +59.87667 +59.87667 +59.87667 +63.42667 +63.42667 +63.42667 +63.42667 +63.42667 +63.42667 +63.42667 +63.42667 +63.42667 +63.42667 +58.68387 +58.68387 +58.68387 +58.6744 +58.6744 +58.6744 +58.6744 +58.6744 +56.79053 +56.8 +56.8 +56.8 +56.8 +55.84387 +55.84387 +55.84387 +55.84387 +50.17333 +47.33333 +55.85333 +55.85333 +55.85333 +55.85333 +55.85333 +55.85333 +55.85333 +55.85333 +55.85333 +55.85333 +55.85333 +55.84387 +55.84387 +55.84387 +55.84387 +55.84387 +55.84387 +55.84387 +55.84387 +55.84387 +55.84387 +55.84387 +52.06667 +52.06667 +53.01333 +53.01333 +52.06667 +52.06667 +53.01333 +53.01333 +56.8 +56.8 +56.8 +56.8 +56.8 +56.8 +56.8 +56.8 +56.8 +58.72173 +58.72173 +58.72173 +56.8 +66.26667 +71 +71 +71 +71 +71 +71 +71 +70 +70 +70 +67.99 +67.99 +67.99 +67 +67 +65 +67 +63.51 +65 +65 +65 +63.5 +65 +62.36 +63 +63 +63 +63 +62.99 +65 +65 +65 +65 +65 +65 +64.8 +65 +65 +65 +65 +64 +66 +68 +72 +72 +72 +72 +72 +72 +72 +72 +72 +72 +69.99 +69.99 +69.99 +69.99 +69.99 +69.99 +69.99 +69.99 +62.49 +66 +66 +66 +74.99 +74.99 +74.99 +74.99 +74.99 +74.99 +74.99 +74.99 +74.99 +74.99 +74.99 +74.99 +74.99 +74.99 +74.99 +68.88 +68.88 +68.88 +68.88 +68.88 +68.88 +64 +64 +64 +64 +64 +64 +60 +59.99 +59.99 +59.99 +59.99 +59.99 +53 +64 +64 +64 +64 +59.99 +59.99 +60 +60 +60 +60 +60 +60 +60 +60 +60 +60 +60 +60 +60 +60 +60 +60 +60 +60 +60 +60 +55 +55 +55 +55 +55 +55 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +58 +58 +58 +58 +58 +58 +58 +61.75 +61.75 +61.75 +61.75 +61.75 +61.75 +61.75 +61.75 +61.75 +61.75 +61.75 +61.75 +61.75 +61.75 +61.75 +61.75 +61.75 +61.75 +64.99 +64.99 +64.99 +64.99 +64.99 +64.99 +64.99 +64.99 +64.99 +64.99 +64.99 +64.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +54.99 +40 +40 +52.9 +52.9 +42 +42 +39 +39 +39 +52 +52 +49.98 +49.98 +49.98 +49.98 +49.98 +49.98 +49.98 +49.98 +39 +39 +42 +42 +42 +42 +42 +42 +42 +42 +42 +42 +42 +42 +42 +38 +38 +30 +30 +30 +30 +32 +32 +32 +32 +32 +35.01 +34.1 +34.1 +34.1 +34.1 +34.1 +34.1 +34.1 +34.1 +37 +37 +37 +37 +37 +37 +37 +37 +37 +37 +37 +37 +37 +37 +37 +37 +37 +37 +37 +37 +37 +37 +37 +40 +40 +40 +43 +43 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 +45 diff --git a/data/Banespa.rda b/data/Banespa.rda new file mode 100644 index 0000000000000000000000000000000000000000..2bca1d8da99854f19f5e32d7873d7fcbeb7b20c5 GIT binary patch literal 7586 zcmZ>Y%CIzaj8qGb>~G+YVc?Oh|4#@!5SRP0!mDd~d4_j-{(3eBd67`onjcjnjCp7L zr>)j^x83+g?D)3g^xak8qf4#^Ej@GU?Fz3TmJ4p0%Pt5zOB%5p>k+ETGD=)>IV<Is z`?5x3jVeQ5qa+Dojx=A!l?#`zTx@F7*<{aY%QkD~qKpf(Y(%QuE=W~z<+yw`;1A+i zYSJ@nhVmt4|KKY}j!n3%=6~hNrz&Na3zwy4n$1d4{xq-A<W!}pt-r6KzuL0P!AH`T zIn4HDIkxOdrL?e0s;#8Sm9J)<6PNjzC>)zLTjbVEsY(;~i5v@h1Q+^e<#JBGlr{e) z&!oC#mo>gzX}h&JD?jARMf;FX^B4LDUsg7CQ@&C+CG*#;Syl5_@m#SLcAL?!`D<4D zLiUx*mn~nme5<dN$(PGnGmWZz+?t(FRr;9Ps$Hp?Wov5dANbTn(4R$M<zuguqtaI{ zPWfu<@4|NFvVZWEDpNBJHpPVtF1s&bxcJIefNd5p<0})MUa8FGQ`lyiNHXv;$Sr)u zAGp|At=a#gTEE9v21X@M1-F$Cmd(3r>rf@RinlBCO<>c!%fZ2^HnV+w-LCMy>JL6D zxBTU*N`H~BJTu(pEnjHxW#O-7?N8;ps#0y$w=6qq6MSLb$t5REOuq78nZL4SmaY5B zmrHKUG?iafw{m&sD}_lNlLbv?3tXA)JE7%su+PbtrvAzqOt${PS2As88LB_&abLFL zgQ6{4rdh9Y((GWTG@n@pS?;g0D&>|hTfQmN<Wg2<uYu+-&6ksfg|l*+j8biUO>%>l zSKQAz&g<fwC*vaUd81GupXL%bsl1%d9Xq?WM_zkWqkLFLFYuJ9N_R6$jHJ?yZ<6zE zULRp#|D5o*`I&;(gCp${ylhH`9`V}!cKvTIdH3-YzWc_zdS>P_-+rq;S#!b?XYb!u z(hpgZBXd<Ggk0C(UaR4*x0)&a-o{TKgLytjDJcnONmw-Y$rx_C$m7SMc=*vHgYaL4 zA9&Oy-Z(9?`O-J5HgC7a>BP&GQ;vx;KF_>-@w4&`(={2#wyx1&`8I=7seOeaoBrbY zD)T3}>7IOM#3GbXQx`YOF@EolhH8^8mcX4)rt_*Lo7}Bb+5LVg_vFJZwf8ovO0|ct zY7O`u)tdXlvbAYR-!G-j{+yCimhX5nY1i+M*$*A>z2Mmwa`4<K;f}dSy%m<kY^*<d z?a;S{1~xo;hyNbz=56Y2o$uzga@CWIN9QyzlV#`q^+u+=aMH8gw>!J@4(VOvKP2$# zy06@qho|G$IPAOU?|L}sP?5=g3+|iz?~nfZ$b9rH)1qtEJIZ@z?y6pSg4tPtIdaL{ zQWn+Qmjo2vzWgya<Y3CYqi-kqD%)M0_O@CyLFGlWPgRJhc=ksDeu-Mfg`Oskf#%-j zXYLnwzF5oHsc(|0yke_U!_rNPs!w`FXUdnWY}vwPGja8$V?UoIq%-8qfBh|F(yokW zze-jwo2hbi>V}CwcNXYzlwPRpoAjXfnqc<&&FtH*x-EC<2#+f&=t;OHcsp_TPWI=n zmzJp{K5@v_h|a&<&wYAZr`Umrd(q2<|F!iLYj*o`OrI!Q*QChu@QDAEbl%{#yFQi{ zpSbf}h{LwL%tU<O^wY=B7Hw`X@YKI(aqs=JmddppLA>S?5qXOKAAfKiC~*_``93yC zz$W^B?>+AIOtlTy-}Hp>^1YoYIJfh{CgE250|z>8X{+&b&i$s;bz-r(n(w#3;E9|e z6@Q=QDttNnlz*=l_u^+;)<zur==#(^=8ovA$6vgK(w65jdI;`06tBH;+X9ir+w3OF zn7m30`17&DyLXGQndTwk#q(0Polo0)_r>S;7ONTb1Vk3@aNT~kH<#l^<`&n&?=3Hm z*xa^k^6yRM+{Kh_v-W0=*5j1y?dGelzUFVAzJ0=F_tI~7atzKX9WI{w<HPb@u5nE6 zDW1ZOw=T0Uwo%@<kpJ@JTa6Kiw(eA9n)~PV%k<;7q8!v1@^4*oXk2-|%dl(l!-;!O zgl_0&fBxuO%DeS4o{RrU<xDDNO!oKn_{X*P4v&P#-{-oCTl#DG=V@0t&S(BKZ?Wv+ zWqe0f-%6jH=Br}%??%|V8-1_!bZ5>jd23(x-#}=Va({fe%XQX<V|vSvun9igz!{nG zhNZ0e(2N4!_{(>Mgq4iel=j}=dN?gc^~@^k`mG8}xp`g`+N>ApJu4xo(OrH=_Kg`& z_U1}n{x3<N-d_8ARjuRu-B3BhilsJZ0~1!b-Q;$eq$f4CNb;}!<o>${B_7KrakqB0 z@`@ZR-rYA>?;K;d+?xK0PqJRfE<1Mdz0tEHYc;oj(tJJVb?XYz{RSnc9`mfNRuyf| z(ks(3m2BS`I+-oSX{*A&jjaYcOkeM2=KkZ!47~5b*7atZK||g}-gzEhwJs`LSbt;f zJkMwEHfT>>TRv^i(;QckFRNGa`5#a?F7SYrsaVB+KCi$9C#Rk#wF}-P{Y>!QJNt@) zzt+?1f@kN7{G9p5vb=MV&4TH7wn!eA=4R*mrO|Q7)wriap@gHbK{8O}eo0g3Q~w6} z$y54oEtgJNoqj5^zwParl(?Y9@%o1!&R%t@+VbJPlNOU^cb}MOe(LAP!jkrDH?QXe z3VTHye*Q6Z@k0j%Q-h8b0`|5R%G)yh)0Dj%ynIA;8YF&Sm>!ncXtUtpcgLS1Z~r|o z3UXw6;=EpA`_JzyYr3=^F>ectys)+6uEyURx>KKD)bN^ninGP_WuIYKTHuWa<^RY1 zrmwWHZQam4OSb7y_bLH%#`J|v{P$Z{n{8j3HO-~ozsE^2=OM$d?~i$3u%*wPQ!=?- z$YSg5y(xEAI=_$TF#Nhv{lz-FyGMoB+d2Gg+xtIpm4HRU!-CCf0(W(isy;@_9$Z`U zX3N?+p?j_~*|mT8HTTpq-TXT@blw))ifg;o=$HiD77<=t@mTM&#B1>dAH(KF-n3Y4 zxj55J+fwFLi-k-@`md_)@B6%0FMK_7$M*%rGb@jnl-KiiDa>bn<Tb@e@6)@(NBB(2 zM6Tcbx8QiHU*ake=F3kVUCqQFx6S%KLo)M~@zGg@tcRT=BCQqfYOZ2iQfMG*P+B(K zu`D3}=KIItE0s4|ePpY+JWKBKg->5S_ue<T9cCcC_TF=eSj(n_3_eCdMG>J^kE2W2 zu2ro$GFip2Qd@w3J6lxe_i}?{4HpuGX1<Q=x^>!wtuOWbw6hsnzrUp$ujzK&Xtg8X zIl%Ow(t+9Qo-juwi#N?U{=l4fN!XTEeavlZPEIL$7~!_|xuGhn%ET?svn3B*oysk8 ztYi8dhpuj&W3?<xXSG>&<T1}wGn*u_bmeU>M<Zi18|5%zBhg*nXKpucnBb!9@z{pV zGT<o#PZLXmKC_@myQo3qt7SK)MIPB`xr*($o9?NJ+R@x6txtHW&GZy8WR7<-va<S8 zwpO_%RB)4d-u`$6W0sA9Cr(N*mug&dpOeVjwdLr_Pj5cQ>lhU7<}TalDa*2y<3#a; z9mY>z2wgH+e>^gsdogo}wHk{>w6IgyBo(HQ%8PW*21R#UDVz|uUhKTibwg0!fmvZ3 z>*u|Ex<!-6K=Y^Rh2GY+wa*=Uaz0(R&YdY&*u?8lvWVkIoV=YuWWqnGsDRv^cV{j8 zwP@Yq8O%RtuCQIF@yV%~A-~QrDwap>@V=SX+YY<91)1;iF_-S0yf{tSefQkGi@xo> zuv6=h&&FF(f)8U^Szm44m3!%mxxKy22Eo6ktsiebUf<lim+wv>>%)`|fk|y*RRw)v zj8hgbPxW6sDK_-ozR!x2=LNqupDVUB?L&3lw1r72d3$X63pSj-USR3%vD{c?p7>P% z#+QXfJLg}1c*u&~zea|4*IrTk?Z1{RYBTIPcIAU$_^gF#+0XyK<2=oA_&)D*^%<Sf zyj79=Vm_}+&|9!ODr@ck3$uL|3r*AM(Pvs@()cXg?AMIQeP;w}O()LGOTU!T^C(Z> zJ96W*lc%3X$C_<qTpL_-LB??PEphwJv+mSO?)VmeGr?oKn4qeVh_3ZhrK00IBKFK+ ztvc6yJ&IR8p{Uuc-NNGgg{5q=x73nu{5c?|b^G<x+z<VAcBy4bvw44>$(u4U<b1r* zj<234c}uKQjy>^N|EuWURtL7?R}*!v@a|Dm3^F|<?!)z(C2*Fj&2znYj>(0aA}iSM zZ9J#rD*bo%d#Co6=}pTg^V`SkuD>x+c3q><b#12^)g}Q)-}h=o%8L14d=;)7Qgt;s z^Qq!RO%}sc)0>t}Hv8n7&+mNRyGO;^Z{^xz+39H>%#nh7CN1A@c{Na0gyoV^aMZ_J zNo@;O1)dVMx|6zinyguE>LQ2Nt#5a1@cR<xw~4KFTApdTqSn45<%6PczPwqp^i*Wc z%fl0I`YMM`U1hN9^qQ*aIulwK1YCIf=}WCrynxGkWucF0Zc?juO}czQvN`g^t{q;U zGklNs&b0W~ersD~RFvoj)jqF-AC5Dd9zMICt+V(11d+^T`7i%j>le0j9KG$c`8B5^ zqtDl`OU??1X{w&C_dci@J9DRpxs+9B*zI@4`!D&X&(&KtD`aKR3hj#1+wQ;Fa_{@& zkavCufAyL?f4#~-(x&O>qJ_fy4&6?kuxQ4`dnT2h$8Kw?x*e}C_$VIpShrN{nO@yK zSNr6XiT#Qz+Pf!C{IgraHux}qzQFo3WsMI{6#uHYcH_#V(&WIPySk4H(na?k^1FE` zYUS2s;rd+{zKA}^SF{YsuQ;o(zUA?vJ%vTyPg>7jj?^#P_Wkpb7~4%>F8A|U8VF@5 zrM*xS$zXoG;pU9c1L}n{mT4_mC&lyhm%hu@ZsW(+g5Ry)?*F7V&uzkNbEEsSHi>Vq zR-cgasrL6TeebS-Jc(3)FOAL3cC+8jYB38;*kiEx_|FoD+=GjQauf^OFKwM^exD=e zXYaK~+#7F53!j)|dOAJTYQMW~_LG1hqYv*N3eS7`^h1hroLa`}ghwXT4iz6{77HAa z+u~&vlw{-c?B<IVJNqosBesWJnXK1+FvL#v%vE3M%gyh64jP48uQ<L;*LL9o;|0EX zf28J3s!EPH{h3GMzeH&Nj@pF=S#rJxUnf|9lI%^K#LRzLD6TuOhVM|E)e)z!QjvQ< zwaBRHKDM0sXscdW%A9GA>pCxc>BLH0T*h8se;~tfH9LpQ|1};*F0asy439mvPncul ztAr1y-mkg2t7&25`fa`98xEXR+4@$~>2Z#Lh4lGF+Bq+Bj`f7<s4gj8@I`0NFW#sP zx-;+Y<1<<=Y_QX1g`Lic&1v3!I~i5Py0@{jw3xPb@Nc&Zo)rDgM|HIi_w05qAB)b` zqm6Gk8J9|kIEO!r+9<c0Im`5ciLUV9lU-KJFQoK`ynM)VvRiGg<nseP1&6QuR_O<v z-Zm|Li`k6Gi4WpJZ71n(O?_DwAe400_x-JD`_4P6gl}G*crugwypQ&*mGkvPCR7}@ zSv<j^^j;&=hgpJGH|qSj^vI-Rwcbgl%~H{6YbEmUTQ2x?GvktZs@z7UO?gq7dgt@g zb*yI9#$UfahuwD77dz1&)!!2RpDyiF?3Ovx<~{$FcIVv-pLE<EJ8l{5wRz9Z`}-}Y zzu%V1MZD3667zOH=P5{xSZcQ?>xu9mui_aWWtCUhyQ~Xd{3A5=*TK{k0kR>ttCi=t z8Ob=e8GhLOAY0YBQl?X3&vNF8JjQbunE8L6^=9gP0sBgu{0SZk8}Ai}<_KPLJy4xA zLHkvC*vZEe&W5vym&g=2a9j)6BVfI~G`#Ga>!zy*&2Q+NDj(NB9l@0|MfS_}m_EMa zo{vgSq&!^n@rP)~)w@xyCPpoB7Q0q)N`5K06ft?<s!k2vuiiNxVz<}nFSblcd{8r~ zYXVbJmT(Z)g<Eel^tfhtHe@w_`fg>N72dH(=hQ_7wLGaGuZ2b0BKEI8(C|h5ut18= zFGCe;*^O%5+Y)c<M_kw3F|F&o%zo2V1xB-2R=D_w?7Moy*F@k(qRh*E4ZDv-^;D=` zyHK?@tKD_mo3sz-LnN8yW7q!ZJhWja*Id{3H=!Xmr|(Q`|K=<oKmFm8-hUG&ZLhfK zt-Gw2VW*5<$GVv*O^#WGu4+rX8Lzybc1B_@%Nox0?zi$Tr)Qu3wNy|3z_iayA-eB( z28#<#>~Lmztl^h4b=O;?bIgB|QuSg(rWAP|Su@99;Kx5>$5(%jiY<}K6Xw0|eQ5q= z*>yJ;E9-7?%Fcf)QdV<Q$mQO02CoI1lz8k_W<1t^CAh76%d`u7_^t%sJ5j^D=Xgo` zzrNFts&}52UZ8Y%?uPEOp1Nwz2Nq2%Tk%wI>E^W!s`ozUE@OMh{MXT7rPcl=UOls) zzAb2AK0bAUiT<3gUmw2x%EO<a>mzYsn&FxE^~+YN8#Y*Y{hqIK;$iSA&H|giJHGu| zxh3tSU_;zY#fEok7lRZxF@zZ&ia&Dda6*}u%kI*h?~`_2TvqHeLE1ul(#DMSTW`v? zW?9?nsusFRYgf-pmi%<*M4<k&j5S@6N2cfpx!u*@!+HC}=5rVJWthY&-M;Wtb8cyW zh6mTyD6SrFCEHi;vc-(k&i<O-XL+!4)@y-fEce%){H*nP=MLKkZ_b%Xs{2{0+~1WZ z9^RHeqrGUR#2k+aGp87HCH!V(zhbXBW8xFjh2EtX9y*+D{!-et#J6TbPucGE6_fe4 zf3NBjmX^QMA{Vwh+I`{1F!z721wT%g_UyRY-ch=XQ)$za^D?Z()AlWyqyMFe|Bbk2 zXGF&5HDMj6=O<)-yM5uwr1{gHyC)iX-&-;LL-nqYd=hz|ZCOmtK2=?J<jE?Lb*#SS z75R%Uq$+$2c2cyvpk($b_+N?iLycFy>q1+SR60HOpB9}Oo7}3s-HzMfi=Ml-?T;7B zcYnOJYqy)=HWnXe=j_cb9|OhAjT~HA*WZ|0_DDf+ouKt$0q62s)d_!J)(1V>==IP~ zJoJXM!dV?(D~^x$eiL3E;>fCFoF=d2az4L|QPFbWwL7Pbb4-rz^|0Rfs_IH&{_=ad zcfS@z%&nfGu(1D>&(kgm2C>AryD!$UFv@gZblUrMNAEA$$)663{+<-2X~)_By8qnQ zQm!4W0%9d|nSw9B^pN=+|I0)9;rBOzEd`nK+nZH<@{5;LI{snn=rfr<Lt|RDtfAI| zFa12T&(;WDVbE(>()i?q!-`#U%?4U?HnRnAWot`MyplfAZ1%%R(o4=R^$xU|A;sRj z+v3H?)f41zeGXn@>*(SfDQd{GzICQh>y*3R3SD;}ms`%+oGl>DaOh6$3U`C{q(iPZ z9L~kYS(+QKkuT$P*;+1BswZ~zh3ds4iJW~Vu6rsYHv7rtNb4k8N9)Uo&*ip0C$UNO zH_v_+vlYEOy!Tlr{ALZ-{@=de`t`xf{foUn?p^I~m6!8=e@Nhbi3+2Tg-y{m({B~+ z(b}*#i*@m~8r5l`>vmihS$j+MNXQG>2RU`0Cp28Hxpw*blM_K_mLFnD&OI#YVcL6i z*X^3zU0pAtVh!0o$_LH&aX97@v9i?3drt8B*OFa_%6_>;PmP+(EVp~bI%8I6+e_lU zS1y}cIsLXd;uq>F?zLqNPvkq65B#qt?}-1l<Ic%=hbZnNMt|R&UK*P?c~?~4^Rg3- z!bc}Yr9O#@eLX$VSLfcMU(f2#J}bN)A2d-%luwg$Dx;20gocT-X%zF8*-<;1>&zb8 zrSB<{nrQvmHOpr9&Bm71ui1XRJLXytZp@)%zhe#eXJzhraeiz52K(OQc$)PnZ$rYj zLrU+8H-uejiJYn%*r?&lc>QUzePx*6e`N>X9|zgzU2YJ5ljL_mJodrk@Sh)2<&`!G z?>BjSZie<Br77318JNatCf{j)xv5G@ip9;^p8FW5PK7S_>F&L!LYDozyd<r>Re!F} z+ZnGXy-{<X5^~q+rR6n7rwL1gA3Zer;~N`sVf~_q+YfcVzq~;}E;;ky$<N^-yGs-n zF)a<gev$ce-TGTiXOoR%Sj)c!)@&7<^XlZ6DMtUYK2$2jez(7%Fy+{a1{d$sr<bg6 zGf{St=<Vz|ePvPj``h=8zy3aOCG20P+w&qWjYW=XY5iW)_hg^e%H-Q5vb6qQGQ->a z&+AwJn!M!D*Le(Pf3C+DOWrEEX>6M5Imfb^Lw57oiig=unvG>wp3U%9uStHs(WN}l zTG_B$)FJjly7TN4e;=D}`lFMQ|L`)8=O<6UF7fqD=k}Vfa}!CpA9^nPPXF=GSzotb z&}H6xKH*&bA(>mfS=|Z_LW}!eR(gLqTsFb-cEOH4oLuWH7q9Yo*gDJhSMf!yyOH)) z@0YiQ>iiR0o^<w9^6{p}FEu<GrBCkjY5%+MYN!2TVeL=q_Nr=kbXhj<zk8?iRoI1o zDb?p~j56}?ohJMZ6%#3Yey7lM+otbQ7gEKhye?b0Jo5U}CH@IDX+BR@J_u?K@cjKK z#7akW;e<pTp{E{eI@V=42tRYU@jZT(>DC~|v!P0=TF!w>gI+EFv9Q!h>zU4{hZ<KN zlvH0f-1_=lDc`$YzrIx5IyYhE=>%!}?J3{68NZ1=a<_<(_MGCbV-WxPiqO;foe#3s zX-{`56?Na}Sby(;9?Rq-*_KSI&aa=F#>U5aWLF#9Up(3ATGI(Rrhq+(!QZk@?iJso zQQ2=@tflyBI%AZ!WVv_2?#Ku&Zs7%O%pu1N7rPX8d!O58;as!4%d_{LICok9_u#Fw zoSnX@?W^QJr^MjI7`x=)wU9~dh8vdr`83B_td}9GO>*6ohzD+eE<bVe`Py|bJgnVI zh3(tFtb{f5es)Li&fYW4_3oz&{7YW0vo++CTqOVWvYXyj+mc%<?;Ux|4-_wS4c=wq zFuQ$==f>wzb)PpsRc{c;KBVKmeDcI))@OTt1vpLx<R-@1o1VGdVX$5>YLj+x{u18V z+cNxDDp;Mnx^0iyyc1r%feHO5ex-OQc?-(@D0w<*EvLuh6ZzKc4i<)aS3^zq+>;X3 z-cvH~!%tUz&iM=EkDb~ak~c>&xR=GcdU<P1fsNyd?XO=KrmXawFEl-M|Bs~JwW{lX zz7+cEyP@*$@3V{>gzv68H_x|^r#QupW%Z0ChbOL4M@;`#@>IP%_~<ahRg-GtJ+^18 zFPw~hWcElUG*HsS&UB|o#ctiEXuB7W51)Q>I&I1#=a;Tk>%TtW_!ZurxrMXySgT1& zy~?Zpt#=zWmK^d3%+)Ii-}pvjVp#hGu|&DH>Zu!!blkc$Z|g2GtxF-{I~H4B=MkCr z;hou{^*_YF%<W))=~lT?+C#5qr+w!)>z&^vQ+%iXU^tM!Y^9e*U`65!?S&?y9cE@{ zKX<ikQa!`=_ImKaoLZZ=r<|8FZU1;uBYI9pp#GC9F+Zm+wEAZ-wQ=e~8;!O|u_eE} zl-?iK@h|C7@t+*wzwU<W_gMQGTg-o}&T|*r<#2w{JC<z0g*@L*vqu`fTRdaOmGozC zr|p#KyRNhSoQC5@&m$}K{R|IYyv+M0XW_zC)09+CEIKoFwciZ;%w7DJ{ayF3wfS(Y zxy*Y}$X?<8^#`Y?#F+X`wu=@@IV0Cvta2-*K;}$ZzITntvK1d*_&gJ^KCz&oiev4U zMUyXFx;A(3z2*~bd(U_^#Vwmsw3GYH;nQr&tXI>e)h})QQv9;+bK+^XfSh?tABSGn z>IrnWJay=WOb+MU+Y3IXG^;Ti&CxtLr|QtJ9WRdcFb2i*EG=$wIAz+LVer*xb<FRq z39Toagn19y-q~@g!K~r=y3o}MKJFi1&Ai{ocdR{hYj|M!<_A;OAG_mySIlR@T(wgZ zn0DuFePI{dv@d0=_fOR)U%exzBpr>5R`8w6uAXb3Fv;?cYlBtC<i01GYwP4KmtSYT zW`6Qk;YX{d!Y{Ag$TxS?)zfX<uh;RmdXLt=b1L)uyBcg~Ectk^)i|K)OT(|eG`qa- zZz2k9^aISo`A+Sta9w})d(cslMMCMq4|Y6#cw95*&BnRc!#^A4E~&OITC`3n<rCK= z!~J|5vzBjA;Oli-%JZqY?_$@LjXSUNXC7X8yK48nsxOrhNs=pPH1xD@;EqcC8`iz% zh=m5%l%Q%Y-u&0`&tG??WNrL0-(>##@GaAgpZjpD^SxhoIK@&cn71!CXnVHiak2S- zQ;w|Ce|<;nmFb(X2R}QqmtK3E623KbcVD_+!t1*nlO67TEROysB$=VRY~!hq1*)^= z@Jeld>3g@k{I=>=`8MOsn69;4P79isE;r6QvHpaP$mBVns+N_+vsyR?@vlo$Ucci% zkIAV&7AbanD&$@rzxVOQyxBIrO`ny!9O9pq=_|=E@6Oxl&*q<8Rknxg%gy*du_r|y LIyu=f*cJc)yl8zZ literal 0 HcmV?d00001 diff --git a/data/Cemig.rda b/data/Cemig.rda new file mode 100644 index 0000000000000000000000000000000000000000..e2dc269009acfbd714c14d6a0f670fe938f14378 GIT binary patch literal 4104 zcmZ>Y%CIzaj8qGbWO7sPVi0iqPY^udvx#K*dCKm-y!*}j4Ezmj&(F^MU~=U9E?I_f zKU=1ijApY0ZI>Li@yTF0=+Dd6tohP+nU8SB@>iKFH(WVra^=P>gV~-oYRe9qbuRYY zY9D;jKXb9K=B6smEf<@TW^T3hxvaTzTd?M1M_Yyq{ho^|B^^WkO)~m@g;`B5d}^Dy z<m9WAFDJez@w@db%Ur~3=4&eL`PAg%vaA#~|6m2SUa5>E6E;)11s6^*Ur9-kl46{2 z;j-fbNyb+uDNGuPQbtk?y*w+IUAY`Man`)a9G}##T+YhK6`bWCa8_^vLk0sc1LN`) z3~UW17nq$L*cwixFvu-nVEEL)?5`QBaDf3Ukb;RyzFHM(WT3{tl)%8ipav72!Qca7 zG8sUGSq@C}XiB-*X=pHuDaqu^jG4A3SH2ntr?jcfl9FWO_{!Go%eZg>!)0G)w}zC= zWsM6M7#MgN7#J8APIh4HV+xtNU}}Vt*Q%9Ft61HpdU?3Hy0n_`FzI;c3OF>1CNlBr zc(N#5=w4f8UAA}o>za3uPZ!C4_cr3ozjN}#e)+@?J8GE)znA%!@A&sU_A-mgCoh>8 z(cNZWE~!l`;k)|U;nd#`^Appz)-5u;=N+EGqrw}kd3@Hq>BsbMi?Zl?l$czeE$?i& z(?|R2>HB}S>GsvIGOkI#S-zaP+_2PY!>ix5qR!qz88@A5c(hKXM`*S$S)}p8)wIs` z;-1dVdE1WWS{4-S<F#=r<|w;ek`w#1fBM8&qf1&_R&nyY6+b!k*fsI=m;3m)>%2KO z*-gu7#ntPJe(dJ#n0w>LR*iX+jbCuJ^7UTIPV9bi`02r}m?Oc@H%}66?NbUk&121M z-gETwu3NUZefrusFTCuCm)mBTU$*+B-K+9v8Na7{Rm@zq>r?SNBgStl?%zsh<5m0m zH~G%Zj>ruU&iNLpaJ!%3G-!KcyJZviPM3v2l`d|PamCy0(muC{-iXV8Eo-ZrytG8T zbH~lOmup^ZuDQf>(&Crzvu9`T+V@C%MTPlI(JSuT+x#<Q_Lpmtm*-6t-lV%FRwmi> zQ~zeEn#Awii(gr}+S>>35q^49J<)ekqxQE;A~{BFA=ehi{676-%AKg+CpSu2$#$^j zUptb$BTw?k!R4P!^Ye_8<)7cp$^5u7@79gCPk%fr$zL3<d+J!YgIs9ckpsU@ZrUW` zaKo@+vVFg)u<N?*sh3|GiSeB~a+K})YTZ-89}aYM1ngZVm-_G!ccb())14e|*us?$ zS+1TGde6<_+q=T=t=WaX-`k(9zdp0_XjON!@TAA$0aBrM{?U_ee_Ir&bJ2g%`G5C~ zoP;8GUuu}Zp||F$@znM?r{5n}ROD1&-@qggZsL_B<RE@+nTdl$D6^6BmnMUtu7r+7 zAub9_1zj|{8F~Udw1QnU*aRIT7@0KLZZa_^EaWhI$l&C3P3rMY55eUEENLIRlET#l z8xI`V;NWp-f>em$GMyxr6cLYuVv7Q_*$gCH8eKvfHI*847P;wk9CHf@Wje+YBbd#` z(a{lMkg(}cLUbC-0S9xoDN-zr)%#4-md7T_)Y`J@SZ((_A^hLJVfA7S<1^BY5pfcX zp`n~US#4VuHqLo}!PdT_Uz<_hM*ojuvtA+t%M0Ebt(8}^ldO;aIK#j5W;O4DjdQmi zTw$%rG~-rkLSM6Qy{?MQx|~m^Dxw7!&F5+huMB9Klh=1{mj-jl`tUI2N9mhvid%Ve zguS+?Z!r1N+w-dCq^?=)-BUK7ICoF}9~t%Rt&aEn>q1d^S^CS5+G^YtzLnC*^Pl0D z>(39I6BJw&mK-~xv-ilgAD2YC1&-f}N;=`1SX+A6p|`Y8s5CESZBL+gj?$D|V@53x zXO=yg=O5nIImOtWEn+t#Bfan>hoqFmj(NGM8L#GOEO+GD*zht^!kaxwn`e*6v7mDs z+%*@UoD^QPWW_P*99EG)R|cg(hX7;SzPRh6i}@bR>Z*?WQ1&*wjF11Ww(-NKU!L?8 zZ&5Xgd3tlJ&F>$ni3hcp1;pHwO+4`;`qkl@bH%!MnG33;k2q<?OR>CSRN6Do@`<Tl zl2*5nVL<ZLlX~(p&)iHeuoym_*D7*R=_s#GKc^t~t*49Dh;Sc2A;u?r@j_)$>H(J^ zhMDQAd$(z8mq$7kZZW<W@i)}<Tz_Eer!6yUbs}$TUcHr9-2Gt9``u!~>ozOh+j%E1 zP$F!`A)cIE9;O+B38Bm`LWVtwOiZV|SUR}0SlCzuD?&B3-f-tRi8W{I-6+yySi>0D z#}u<uXUBFOj=QJBTBj}TPA*934lfT+J#?c<Y<hyS?ryhRJH$3{+|k*v>6AcZ(WBO5 z#}1_SaJAmz<j$G4y6EkM95JVtp}O9A(^NvecO07bAci6J?vfqbb9)#gHZDnI(2KpZ zRbw^Vn{96ebfOa#R8@L(R!63I>To3-63yvU;pz-hS#&Gu*s&%h&y160Eeu)=9wKh< zPOJ<%Dd8<7u&Ajk!ADd{$wO3u$wkm3LM5WfMKNI^H<QPLB^@nXD_I;}1XvnYIk<QP z2~1>l=ulLRVp-}W;JQLZWQn6vlfuIf2`WJ@ih_zs3X1}w1rw80TwOaE8kH2f1iYNI z7`Qo_CbTq)sRT`R6cp2OP|{LkJ*dPjsK~XdWmTt$qmt`N4o)T(MHNm?1(8;TV~xuu z7&c3Zv23o0@IC*i&{SmSIwm`1!Ay1Q_T}eZK6WZ`Ip*`CfHf&Vsi=%&VX3}Aa;KAo z*(ViU>E6F<TUxH{y}INnUvBRs7qgnrtLraS-SSP2dKJDkTzyHqN)7L4fkc6420ES` zHi~Q-0>=+B^e~^Cs>QOU?NCz5gogDi_AV^Ew$|X2NdULRHfN`cw^AFf%ytP4f4<35 zsI<b|P*w1}P^8`Rg1p@fA$R<Zr%rX(ow6*)(qUOv(bllEXXmeOUU1FV<;4G#B?^tH z_m*tX2)Lc2e)pT?_nDj5ZTcX4WyY%IFD5aDZB!6z<P=ELXYC4H|L=0UyKcgpYf_!x zY<~sqQ7wyp^DN=Lk@*Sv+^N2svU^SLtDL%{YaRT&*y0-Rlmn-DK4=Oa64-4v(Ps6U z4-r!hUh$VUPVCdkb#OkZ?knh%nVp`lR3>!HM@A(>lHYaJm31pN?WuSBdu5W}@0~Xy zcb_$qoNjloaOqZ!-G!$r`7}J-q6M`Msbv)|(0{-D@UC}S-(n{|XKL5jyk_!*r)=I; zyBFQKW*ET7!=`Nzrta4IKuc?l)}{~58w;XOFjh_FI`)WFby4!}3K3q@8GlwU3amD; zHlElo`)~caz{~zY^Gw)v#opeHohZncZF_#o+j1F)%@UofD)M_aUFyi?|GxUurVZ6g zH9d0cYxYMk=wse|z<B+Y&xM5>%>Gv^AG#T#(f?WW2UpnURXOe7w8On$InMZ2(qeIA zb^N#4w~qF&7TEdvUYyzr{|gN)76yHdxBb3%WmYW=54ybc$d=Wwi`2ADjym<#6@&?U z#OvFpT4*2pGbzfZpXu>Q!--F>rK`Lxdwly!e7TZz^>Ud%;eYmseAh{LIwNAbIv_&d z!17Dz@x?Q1?gxsjEuVMC#?Mw=VAtbfk0qD%wq<mb-dg49yZ-KzW7By#15W?4vG)H} z{^@!0jAtL`9aX*Hzs#vSwEe5<ijO*34_EJa8xw5b>${q3`;TAuK6`!^eX3df?-Yxk zGJ|}-+WqtDM#bOGTx`v+*<&2osaMd{JMaAAWri*bnm%uvlh}N2V%)u)zxHY?ubdJu zS!H6V@cHv|g&Dai`By*9Sh%kL-bC}@KZ;^qOB#Qjm=t8K@pGli-qW=w79Pu-l%|!k z#?rVcBTjl%b`Mj*=YM9aqxTzkhWvUgvTD<|E5_ZH`zQDaCcYNi=y%Fr>EOZ7uIaT_ z&tKFAcb46~%<s4NqLq_A|BE;M+ip9C8m-mIHa;|S=^t^=^-75{rd!{~9+1j%ap`}V z)^ptQ>;mnLj>3XshDW*GCavK!U}bN7^_@$DVS$@!qbmbL!zR<#74HInTDi@yHmR&{ zVz@D3vrZhJyzhj*6=wpLJejTR^8fC-U9IOY<d@tDy!$w}&*j+Dt#cDZRE}L^GIvtV zx~vwRV6W_BU%tI+{ymKp$G<%n8W<Rsuy0`D;54<h5Bpx*tuw>RMPQMtiejMBENR~j zImx*jH#Seqo%BZK$M3y;e!K4J-qxLd=FWSOT{E3HJm=kcyggpFyLM{zg=n6K3niuZ zaz_Pjo%d61Z-Z3HLa&Ye^M!>Zdb&bysYi!;OU_AY3z*Ky%bKi}en6FH`N}3uj_)s~ zWeJ2&%P*b4srNHJUd{EwXH_m9j)e?Yw}hLPB~~VMEo-V}VsN>na^>D4hSix`KZ~CF z-OpTh^^(GxjNmmok3=T6JmX3@vOMhGBL`7kj=d=>PWQ64>+g8}r9Sx2WINv!B_@H3 z5`HV2t{AH?zvOx=KFGabdeGbY{UUF(<n`Mss+$cQ82C6HI0SglXQXYNp*F=Q;*2Gu zGAD=1+BItv^SmZVq)D<()7!@oyjkJEtfQWunF30aj7mIa988`eu}o3i<AK8V#JmGs zIw7k5o#LV@tR<OdtfnR!8`dU>3#Ykk>`^(tZN9{^4XfvJwbgHbXKuXxO;z5lx3l*j zlFi%qamn#lTldckkNls$W3KzgSFdwR#9!~6nz1p1`yL<DgbO`p?DIPuXJj%?N-_{C zx;AmaoC`h~2e)Xh@nr4x)Ha(S(PP4#n&dTiiDwd1vtUiP>x@kkTBa@*Xv*c*XiSpg zcp7|!>uF1l$jJ{vtE9NPOpBBq136gNE-}b8N)cpRt(odFv9#-mgP?+TL||s<F%AY( ziA7)1v?Z$S^5P%szq$IK+dON|_uKV)@yz~f1#Gf=)@ju>dZb-Ey0Rw3w(7;-B1!T7 zZqCK$V!rR0d(>>bbpE~a`d<A-44H*a4BJ?@Mcs*hH;JYAkXJ|uM;D8$(gau6jtOSB zeHsEkC9nmqDR!F5q3m3L{J6xF>x~JrhduMwDoo$$z%y4zC{k=f;wuHFeTKqO%r6(p zxMZ!ETC#Qio;wp;MW0R#o^7aNvf$CygA3K&-1!9-+zsRqG7C!3jNrPX&S-RDC###5 z)w`Fic?a2cnp~XQ8JgVOpt3b?rAE$0#m`&kni@5)bJk?ql3cNs=jQXARSJ>cAAK*Y ztDpGh{ac+s?`O;3D3`mo^AE#?7y4Uc_g;VWH`crIW)(-7SnyMIYtbnQ+gH85xx;0u zmV>h*2gfBIi4QyvnkQf3kzoo{Xjb#P_gZC#xH_Ae__jvLqNkgBn6oXn?p@NWd1^b0 za=1?H(%x;3Y8;OnPftB&wdTy*TvcVYr!(f3zwb&d=m|b!JN?P@X$oy?ntH@1wh6N` zEfO$WROxXy&iCk2U-x*Stgb!JR;-K<57;@~Mz24A)*Q*nvu5h(ONMDZ-l$>s+5X4w NNt%aR8iWjG0su>HB;^1A literal 0 HcmV?d00001 diff --git a/data/Globo.rda b/data/Globo.rda new file mode 100644 index 0000000000000000000000000000000000000000..e88dcd98a489555a97956a357f1d02964e44bb83 GIT binary patch literal 1396 zcmZ>Y%CIzaj8qGb+<S1|X$GOJ|NsAeb#V!CiE;5c5|Ub1`#=6a7+iG;b#p0kadB}C zV3m7NsOR0aP(e#*qE=OZmfO5p^X4s^)t@!bedWquGu`^tr{o4)b~`B@ka2-O@RbSU zVg<&<KK-6=gHzd8D9u~OWU_pj%a^LIx|OfkCwtsje8k_0+0Eeu1KW&dWsa1~iX9h@ z*s3qcs^U-xV(d7<z`(%PzyJd*5<WgNI2#R3GCK}18gN`zc4Nw%%rH}efq~<oNrHmQ zl2Ga3E4TWuT=_Q1KG=QAt;t^kKJ{n$n!i#qwDpw>xWMDf%W%Oc!_dUmSy`ddHu%ad zSJo$OUneKkPm~H=x{EhS^isFB_F8wVmn=*I8ZX{0(TvdAA7P}#TJYj|zox~(pUSO{ z#sUsaof0hNg;IXs`d&<#G~rlBgQnF5jezjz6_VSw9TR9seD1+9QFB*AONi^GIjrH~ zt`o%Ff;!wCcvlxY2(=0DY;-m8>TF3$xnefO!?^2Ux9Som*WB!gbIu`RIo(!WYgX+t z6`8S>b@JA=8@X>3aA>}cyp|$jX*F}DsfhjY?#O7@E6E}6<}nCZ$}&Dx<;;0%vLKS> zbgNfnmde{Tr&``FWM-Q7X+m{lw1aAnXqMWopQ`*z7dSMp6n0@VE>J(ranNXjhuTBd zrl0l297`k@N*?0VRGF>&X<^$=#m3gyz&QyS3r@Hm-_5tK<VBYG^sj3lA5H8`33tzq zUA31bETx;NT_&-{^+$<Y4(n0@Hw70_qe*<bj~2vu-q7QD7a&!BG10N3!`QdyrjNqh z2_KSEj2I1P9w;)iYrm0xN8^az0i!38+EpRSDt9!4HI9Y(wY}yqPPfb!J1#VPlEk5j zWu?D+%I4-y)4b=u-6^eIU9he6d+x?JPW`6y#m>4uJ#^^*TG!}}N%}u6?_|7rr=i#U z`-Ix6@AWL{8<a2UFF&F8c52B#5$>AV65FRrL~ft*EUfIl+@THGwyIfs`#R6<VG=rh zQ030n*)u$~rgVKv?C9L=rM;>q>eG+BsFo}JUOorC_sskx?pA!|bg462)vIsoD`xub zmCoHeed)x+pVRmJzbv&n*z~lh!^f$n%-3deWX-xATeIhjAY;kjw5CPt^|(GgJhOZ& z*F?vPz07$FTo_)s+;MOSd3H3WVhTq?_bCpE500UW1-M=<__V*NF=PUx_&RCXd6y#! zx0D54oZ+(P$Aa{QYjV^&vsa2Q5a=sAuxW<DsweZb!kl9R{afC8sOK;}J@ou?&LOL? zPuqPz{QIp{c|7M_%#%MeESBkPn^kzwtcSbVIpRy*s;DVV+HZDiW_rET64=(xcI$<Q zr{aR!dl#njG%Ky}P;!{qxmZ(VBBLZ@3Y)_u2M)&+!ALd-Pd3Mt5T+-YLN1Z)r)CF; zN-dJOp10e!w^z}m{nH79_osR8mNLg&=M%8tk?fyze@UyNrq@($bFVrZwk(c$-mL*a zs}2YV@cvp*77>!4_(YB;bIHYZuauKhSDPmZtWZf;s=KuLMgJmxi$0?+vjvKNse<WW z53S(!(-m$m-5nsV$0pS-BCv&vd;2D7haGzZbhyP%zn%N;j*D}VV1S;BL7O<|Gt;iT z8(k5z4zJ1P6OwQ}V{F(GuA<N|!?eh2f|1AeOH7{+htyndDE>R`MxG$=i~|7?i?c2^ ztQ5$P6Z<;t@-Eg7Hsu#q3Qu5H*q7Ft@aUvT&i#A*lXXuUy_@M5eD-()+wv8Hu8*X; z9vCFgFf5RM7P)#?VS)Rc@RAZvqr6@36l|^j|BZ6A-qaE9_0;MWL(l?-hDKhojE0O1 y^U8aI^PacW9xjV=WxZT--TL5(6DN!v4l}DBvP$Js{o4Fb?@3p|LdEK4+i3uf9%;M) literal 0 HcmV?d00001 diff --git a/data/IBV.rda b/data/IBV.rda new file mode 100644 index 0000000000000000000000000000000000000000..7f17d9bb3bc96cecfce15ce7302f950535d5f54b GIT binary patch literal 4116 zcmZ>Y%CIzaj8qGbWZpAj4ugPu{eME>0iRuU5##6Mi)(7l@7(*r$iVje?97h~j_!T$ z!0`3*+&AtaUu~E5ny6HJc2)Rxa5l{|S-vIXg6CG78Ci+`mr~74GA_)TZNg|av8y`d zhUQygpIHX8W?xoZW#;cRZ>E3d;$UI*Wz8XfndUJBA7ESgVDiPTs-{&oy{2-@mt;;f zF%G!QIr+l8e$N*7Wj?+>CzRDLE;6)Lc3;_Y;=;)mhKtMGdJT;v4IHExs(PhTE-rSE z%8<%1;ZexQIB~+&=a5l~38R$B6{%U7QgXqUavfh9Rr%TqyRUrFADn6HHj9Db0<+@+ z24)9_3v9C(q!@S^CuA@%FfeXqU|arT)f6cs21z3+6RFGvY-(!FoE^-{ZVGI(n0?xs zIgX?pG%;azYinzEb1+HC;ANbw?2vNVhr!n*<+8$oDSv}jg<NL94_LZf1ef(p>|Ag` zSlD;T!IdwUEno3zwu+%i#>tKYZVpC_%i7vzvAMa;VlXl><YioNf#CvMvjgJ-6UGS) zCgrcSEq@!|*ETllIdQtUymZ#IYwxxi7u<;6w(Ol+$M*6R-?LYav~iS3+_(JtwdQ?f z{>Q3&|9Rj2%&z!oZ~Hy-XBB_j|6{p3_w}3i|KIg*_q}w-!)9$i!}fRxmA|UGF|YP` zC;$4bpQjfG_TR1CwlPPlUbQPwky&^`+JkGZ4fa8-7go$#@Xb^9x$BMnC${{`&5l~n z&e*f}*Zw?vHh-qvz!|ew&YIaB=<l{T$I5C|Pw<i1RgCj>M6OzyM<&|a`^79={Cv;e z+pp&b8SM_bEEjQIA!AF>PR~|bqh*g&GwLR8-_l<_zwpAopJGS%$rcIPWq+=_ymhsj z`==vLYWzKMr3?`gu@{S0Oxu5S{=FYf+oW==eugdn>G;@J=Kx3C*O_L9;pNi~>+h`X z5S4elcv47uo-%7}*(z1_jI+xgzEpoNq;XM5ysPwXTkOt5b5DKNy0^z_Zn{@o_?u3B zLA7(~P7ida^!XmiG7i*vlzV^S36q%iEr+MMY*63d(d4!};f85_x7wWI<)zh=TX&mt zUYmRD-kt=t53_}gSe74rxg|f$db<1@rp<<}@4Sz6rOtWxc$T5mYxPa{tgf%H>M~k> zu)*-<rEArPX6-cT_1$o#LMg0d-DOF4@v;I9ADL<V>(@S%TIe0~z(C!fQ}(d3e%`a| zUZQsv$CmQh{5>pncgghF`7tj=vz;z%O%71sop|^2q}Z61CsXnSLhG+DU3D;d=TGiu zQ`o-8$E0OHZk(rO{&sg`qu0&_GTCdt+Nw-EUyyd8a(ApqgMDt4-nyFwx{G}r58Z1~ z-?Mm2vxLc`)>DFS=bJ7P>QHG=ik{mRzc^H9H>=uo$KN$8IXu(Wbul?8Y%@+cm&ZQu z-EU1!4o}-H3<Aw&7d1OP8RDcCCN-G)@f_v9%$)XGa&y$(Y~4)ri0x5HcU!l;T)BJA z9Up1k%jF5(rHgJSZ7z3vn>sW7-TvM$pSAT}Q^Wtq-Y>YlDB9F(NfR?;=f#c8i*qDi zT+Up^ow@7k=IEW-ymx2k<ZPALUMiM#m-n{lwzt{2Yd4%RPdk=#Chw$5ih0qAtuv>s zP2fGal&w)A?)}8zHGf_$?q4%+X?wy8<0J1cKhV-lWh-6wAWFR5gNrk0afB)B)wJD5 z`rYp=KXFz4dF%fML)8NwjFyj!7p+;(9w;QIe=MQ)-2Ur%tY_X{Qw_ZBA<A~~I>!r> z`yyK|eY&ABEyU?YuV}T)-1cc4T5d1izENv1jTYT<$jxl;CgpV^raiMlAG*$5ec8-< z*{3Dnw%9HE@@>w&Wk0UpvtP9<?aIcLk0!ji^g*m<+FPziGJ^6vuU8&7%Ii~b$+^kQ zr+HnWEAH%s;}h20YTI30T;Qb3{l?&xOZM-L+CI<RJ{%R<-lXYv@qub2N5b?jCmZgg z=O(0mx~jiQihtIL4nC93)p5BtAFnwC1~o|*Gl}fVS@S&j<aB4R=*5%Oo-!?3*0h*Y zX<6AvrH6VSJA^!0t(?s7hJBB$yZI!W;nkV<GL=u4Ev>G;GEtrBr>uA@`&#LBmsR#| zt-jb4#lTW`);nh#Z<vVj$6JffZ&&g5U&ns5_?4-kL4(H+jujJ&c^9cCO1dyy&|=~I zXBZK%M&+R-gSXMKdlt{Q3^z)I@=3DHyn2{#MS)AJz%ivXH-~Pn2$th2oSqt|PEXpU zBlUN8XjVAK<ItmzGfFMw^?j#YK6*0j?Di~^nt5rv-dF8^^}1t+T{~~T8|yNIW@%{` zwzQ+WCEFfl-Ok<Sl6P~Bi4WVc8yr$BhWqYr>RHm@E+i;nackmYo>yEUBED9wB3^># zB8-+IxfgQXPMEU`TsZbpWl4)mW;4f0hUCB#$7Pi`ZZTSPIJ9UO<hlwc3O6^HvNd%~ zY!;Le$=$IelaD!5sCV0mn=*?tJGb3b%2-^;;=t=Eu_(`-ts!^W<;7A0EJ3c)8bQnx z`rHf@?qqmKx~W{`a=Rid)DXCEp-8WqN>k?)&#sn|%q<UIaQ1i^E>&h>2;wr#XKp+Y zz3X(t+Ubld4ciQ^?pQLFO@q<HM_JKl!V))UCL^vHJeo>8NiA(04jK}NSf(TjdL(gj ztVv@`?C9`0qLJ9rY9J&hU$RW3V^Yr~2_3eSnUbn%YF<oS9zGlqE=L%QR17*6%+zd? zIN)iN(lA-*TCU=xK#5~Y$5aiRrkn|6YU1c>>S{P-u;hZtB{qX(r+uR5nK@_6^7i(w z%NG^PXOCC5Y+7=zEbxKWG9|sZWSP((H+dxfBr4tv-e$ADt7o@$#`%)?KGCB~T=w*_ zPs?le*v#=$&YIca#>}6$YL~|LYIk)%dvWv&pOVGXNI(5GRvQ)^WHWrGa9)ae=LZ(e zpam6+(|8jnH8!ljl=NhKxv$ZuatqeJ`1m`soZVAw_G*526HA|SGR5<1QfhMLPL1Bj zi@mpO?@HlXGgmZb-KI*LCC9dFh@1@wTRwB==B*p2xgFgqc>K4fBMbM2kE=RAe<=-K zXTI{f<>cH+?~4?DJuj&+txR&zYvdG26Z)OJ`%6TrQlQ7KEukt4i^85S*u?9*o!M*4 zsTURptuOAep1%5S%65ZYYv#IoE;jsN7~0>iJoh%c+CD>N_Q192H`+eUR0_N8Vd1n) zs7=r%-}C!1#jINrtWl?;r4$Ps%OavSW~Faz`u68roW=9nJ9pI2Jdn}9^V>3P`n$_B z3r|h2e5h)EYs>16nO%=PYHY4nr^j9^c)FwVz`|38#Vc7H9iAReyqL{BV<kHqv*-?8 z;l(}=ZeLu!?$5!nT|O5W#MFzg?33i|niqGL_oACr|I>T7s(1yi#D0=LYBGt*>6@9? zp$7Yxp_{XFuDoac_HxU&Xx$V2I@@GshX2!Kb=fd$&!oCvkKPqu`8@sME*`J%=4|Jd z+{imF^Xk#u$Dgk!Zd=ze`&ezDr_WdKW$TjjLrZyb_Fh}q!*?-aVX2d9@0L=J(j5P< zNi(fxeU@PnmeFE*_BNxu?%y8637w}VWX^kQHf#2SIw?-a!z_NGm49<tZU{a+!CIMr zFw@(k&1#}w%=FcL3SQCc53x=^QM>Ha%THef)&!;=@%<$#w>~D$WVzOdhtvIv+2<#l zPi$<yJ}-Q2SXyEhlkd9yL0qX_6V_}<u1v{xDqAtVUT$-u_q(2(9jQBW!p+uC%UERn zIeW9(g3XftTjzu}2`-O)Y`(@g;myr`ub0>{t^D3ORrYPZz&!N^hE2!sWE?)e`m>vc zdT()!eJ%IF{082`A1>KDq!nt*JnvOF(S46q+A}9h?)c0#*9wkg-g)>yKk@0kX*o%I zyDYo?pM8AiId93|;@S19JanoSK24gK`|V=a%T*UARGK;-oHuvI63rTx)p^_zVvQ@A zH}TDJ6r0`~DYvpKv~OQPhS>Fe0zMN9UtZrDw!>fQ?7>e*?Y^`LF8p#qO}gC0R$BbY z3y&lAvp3n@&Sg#Y+Ou(89miS2`@4KSML8bM5BkQ#xM-QniT~y%X-)z;FJrqnW_E1s z(}*&ex}b1^h7Etj-lZN)6Wmk}O;zA>ym5d24auN46GffRFS6QRuc9XXWzqHJ%Vl=> zr|#sis@UeF^Z$ESs@DCfhfh?rsarmC40*9m=67%UiM78YVi!zXzKlO0_iyez*Gu<* z+kUodH_xqp701B9rl8LB=>r3Yg+%<pZ=X&*=yEdf=28}#k)n3P%y8R{8wXEpI{Ix= z&79UatGnsq%#%;0Zu%*uo3f%SQ_^;mO|y78|J=M6;zunq+}u7lmin1(dp{}X3B%>3 zT*Wh`D`rkO62WpbV(zwiUB*2rZT{0ad0D+RmpiEPELqm1!SN$wIzNZ@Y-3RaPQADJ z+fPo+wz=ul%%tI9cdWZOoK4(}V|j+UzXFS|lCS9{1+KP9+fPr|%I9`BTGYtu?KC?y zR$xhw+J+Eiq1m~+jx=b_5-d4->2xn!x90u~tK4~CXYQ^3m6N}9%88V{TtBvZR_lDL z&pudo&#c|hYL)D{<I!hI?~Co;em+@SUxVwIO8mVSXBX?Q)tIqihZ2+PKLO9kup3Ti zrYdMlBt=Dd*Dx$eQ*AWtYHHf2;L4J6W1`c+#2aEdPP&B$9McY+Z4g-#{M4^gY|0VV z>`XIOSsBfU=m^#&rzEC{w#>X1yjbLzsBmId`p=4UPdA3|buTSA8<)r%{=4XMl9{yc zI`7PFPm8POCttgDqxgGw=cJ6)8Qg1sF-^G8b^5uxK(p2*X0aoALPez?7tFd4uqA$$ z$T5|swM(WJd+^AnFf$yPs_Zf82+KF6w_?+^qZK)|zA3Vt{JN3p;1<DCOFG12TXIBs zUT_BYvaXu8$R$HJpdljs(4Wg12_2@vu39SHDWORWos7AOUYAz%2(ZSjpLhMm3dy1q zwyK9!d$-Ssot@8Jcj`<y>+jXfhiliBhlp+U{;hqo^8c;8v~|i=+&X5>raF1?vGcbq z{=MN^?f=>zfmIG{^Nu)(Ic%TJ?QN6ODCMZCk=dxms3y$e<1=Z3$q81yeGJLB4sX#6 zXfg?(<5Jk^Q+|wbZKfXM5}}V1m}OmArv13YBf5$~d$XY70=v$SN8GM_Uo!WP&aGV5 z)|}8>H<h+2GEoOiRMR^iDTzooB{I2{N^pfa)v?#ktcYn^Z5mt7cX7ALtRI)%+EOFu zF)>Vf*>z;$W|!#~uHDLNWshkKVu%Q0n#UO<Rg{qOAYLiUMj}+^;yk0ak|XQqT@#PU z)|SwhU{cXI7h#j%x_QHn8LD=(^p9E{HNCz5F4L>sTXXB2SlACty<s3{SK`o6E-;z7 zdiTjA%r+bvD-r@l7|S#aKkS_(I72TwIYm15%<5YlSJqD4p(u4T>B-I0CsZ9}3M^|5 z9FO>HZPzq&YE8x5^7mb-Yi6$8V!Qd{8E*mSC`UIQkJDOBje#7}o^e6u(fx&$p`q80 ytU9zY=4zPs>r4q_j@FCM)K;=F@diw*aF5bv-l}2u@&BWD9?Q9e7|JIJHvj<IlwZIA literal 0 HcmV?d00001 diff --git a/data/IBVSP.rda b/data/IBVSP.rda new file mode 100644 index 0000000000000000000000000000000000000000..59d9ac3d7b48be1157237750eac1e2a372d645ab GIT binary patch literal 957 zcmZ>Y%CIzaj8qGbG*PNs&cLw!|NsC0-)ycw|Nnpe|NH;{m;bH*U;pp_|Gyyd*MI-l z{;xm4B(r-;Oqm1Y!etE?7@&ZcAp^`}T)@C^@<lH%v$Miw2L=YV4qjdcmRlJNCMFCF zQVcULFd8sBFgs-M2l6lopJ0$;;AM7@V&LU9VQXtJVX<Pkz}CR*E5*xTV#Hu#1X2k$ zG=r^yfgvLUWC8<Q1GB^BK#zHg{T<wwn53i_@-j%7WJpN|WG<U2DIH)Ux4?vffq~hV zf#IyPkF&Bbv$Fz2RWJL>1y#N5Q#RfbW%|-H(?RO>t(I%C`CerkdO5yKajDgB6=8Jv z!|1+KwMfs^@k_&=WmCHh+;;x@Eyhrs8M#JTc&5_a<)<8XcYiJ5P}}n91{ZIjN+auX zE|pj%!zpPsZxaqU$gxS3|B{K|botAy8*zfoPkO}<kKGv!l@6@JqG~qRCd<yyJnh<V zF>%qNhVApNZxG&a`-RArD5eSv%RMWu1bIACbXO9#;0Qjd(05G0DQT%8BX8BM_jTn@ zRO++uSI;f6i8$26=k~kyRHx&GIqnla=V}VA@w6@cey_6jDckJB+*Kc3nc6o@`hO$s zJQHhW!)>L|gh~USj{jTTE;>#uOgp~j+yyrC8BfFm_LjTI8K>6xS*+=HVwm1I<$h=8 zxA_$*65+mg*~EY7{f;wF+2xV{ey#;u`En1|Z5&f}H9g?^oTyXM-D<|c6T3v$GHr#Y zY%!BY9<xeaRmT_hf`3kN`IA1{e9lR`_}^lAq<YWuO18^d0UN|z!WSGct6<4sSg}NB zmgB0^YTP~EtJJx7d=W`%i(L2f|2Yx++!;2EYHN=i_<eF3Z|KxjN<T8*94%P0M2F)b zU;7E&jFYd$ER;%T-~4#<t$MiRvz@KK-|l*<v1!AJhaLC(?>fky{>mZ|*DskbEIi}D z3kCjlmgg?cJ9h8K_RF!SCK=exU%?V`gr(*E>z9jrkF6}7VVWrIu6y#$&ekY}AJbAi z1fFa?Y97Tg$%cj9RjvP;r-Pqyz)6wWsaa7eT-IwY{Jp`Jy7lj^OD}HmCO>nKzx+$b zLpb*e%g;{|kMEl^UsQbVJheK(Vz&4csW*L@OF}j;mp`>mdi@>WZ%jqo1EW6kyt}~a z;QF}T`KL@k=bx57<;lz0bRW)HlwmrlXTjy`>22ToQ!E4aaoBV+|2xQN-6C?RUgp$P z<p~ox<kwtiXIQxSHNUq1A)UEQ=a{_}zUVj=K2&;Y(PDXA|6{pIa4RRXllrRy07vSZ AtpET3 literal 0 HcmV?d00001 diff --git a/data/Petro.rda b/data/Petro.rda new file mode 100644 index 0000000000000000000000000000000000000000..1882ac83a51ac389cc12fbe4982ae1ddaf5ac708 GIT binary patch literal 5556 zcmZ>Y%CIzaj8qGbJbov>ih--?KSA(7$R_$-%#P)`H`m>%t+8TYkmvjLW#Of_=W6fD zO?_UvYg^#Djs|n<mDamA7`ZsRn7A*Q=hmzFEBH&6@2jk;`72+VEnkwkRsF>Yk$cPh zgH26sSFZTPbLE)O{FN(T99wevi^=k>{=6prPBx}KSI)XsEpxl9RqeLo(>%{#8U8NE zmQQkg>-j3*<yNo%*^o0;%L2SKW(hkeE??O>+2tdz`j)ILo8XL-a<lw{FAFZ~e9~)c z;_trFDA!P`cjb#VH3eRNj|9QaR~cW~W=RLTwPi7!e97z|tiHl1(Zp6bNpM-CXz+gr z1~s)w9y28v4b-v{m>rniIw$*Zwj5-Wa%KPlwHa<Kw|tn=mN6yFnC-yUz;b|rQFDsR zyp>&M3o<UdDX`6(U~+-k*+1BUfx(d3r`d7w6$Z8j1_tJf5(*3#cp0i@GMGqZ*edW! z@p~At1!QHm968y*Xq3Qk<)8thS<3-61_t2^7g7xusLk-<Y+zvUnZfL6Fx!EFfx*Pb z+1ZEX$N`T<0=>e%rs`Ww`jt86Px->jRk_k;`I1lmTvh%Wb;}kf&8nKe<ks?)uc}q~ zgMC-N^;OQC%;C%a(tV1J$mJ_v9ADY4%J^h7Z`Qn7ro8q6{+i2IZslG1N^bF$uX0yS zJ}kSED>dKl^z%bb&*n4BFAu4nCo6Hp?^@H3{E}-M4qZRm+R@5&AV;diBg>O%YSxr4 zE{<hwJ~K{ac;p_{>vWzm+u76X!mT`(TLEp8Bqq$>Xs;Z0QhWcU8<l$>`g&&F-!5-; z?DO>gZT%fy-R|dK);8>1*S*c!V(q5ioF885z7pFbopbAj^v~O;^1jtiD)C+|y=ukJ z&M6E|^{d?k1vqbB<4G3o@_lv7fyHi$kca78;aQBTlS+C8*dz_om%aVMdr(C~+LKq! zaM=}=8MmEUW=XZQ@~TYsG(6<Rc8hJY=SDMA78m!UGe6m1UwY!7R$<6d$0<Fz43fLN zQia5p=^L{2IZa=Eq~yvacEMNsRy<lZfBN6g3?`kgE>A8yU+(+zuj)e9tGc(tnD_I} zzk7Y+*;5ZDxRoBOw0t3d-%fmE!1tu=H!IJ+wVbXHtG{EyqEFLTHZut@p4ekmF8fPJ z``4v;s?A^YBrmq?^Vy^;^VV*ARisnPQI5*_Wm7!3wqCn(Zede}@u@BIX0>@AN;;}L ztz}ae`}+4*qVeqd{b#d;oXTf}$A4=m@(nFAW|~k``E-u*MvJ+Ohwn&PbY!M*?(1qj ztkCw#jq{8wOFzH1$&>QR{Sk|KxfpK#?%lAOBZfD5-l<ota%x9XYW2mn)jAYn7gbKb z7hk!5$FY|Qztb$jV;+`N*Sn<$bQhVZ%l=gr3O9P{?;v*QSq^uQ`UH#BdN*s?v)6fB zPuiP%+n6z&b)u}eJBuc}aa_+?S<S-y74@1C!n@=Z76z~ReJqvZ>@!XG<J+q|Z||Kd zD#BjkVWf9X^XVq(kByBht}4s6J?>a|?tv2b`^EL*TNEX`)Xjg~J~jKy=F?BTTCBAg zCf;J(^u4MjMTqa)hss_4_4gyB81F8Bd|u)HqLVFed)@9nO!%y=EOyG_MM_6eT*uqC zruimw`6ep~y_>S>WWf1n#$P;_C<%X;nNhNS%{D<1eoYzASB$m^cXn|zx%-_zapy#^ zM}Xo2?zjFDf6h+RxaDnC;uop2S<X#9)9T-$-XAZ&O^@O{;UO)c_d9l~HE()%;S`r? z&mPCL#;pByHg@g4q6u^4*o{>u8p?(=1~&3ekjQz-Qop<0`8tasch#3iWyh4gSHzr> zzq0krPw!T{oAP=}4Zn9jbx%r_=;JFWjJVwpzvXG4bBO4z6A`JKcK%^?oy4&AY#$TD zlhwEH)m0S#`kPj}XnxkmEgLQUN;&=)TkK)$t~tWya_Vzp$=-x#AqAUzwq^56J-Obw z{%qSp&hX4s`HsuJCofA)QDb|5Z9(qR2;WXm@7b@L%QZAxr*7(5xv2Fx2M4=9Uv3^V zi&WsEuhtTZ+@kE#47_E=xdByACocN@`$FKEnl<V6oHtKC;uH#zeWjUmz*fcC`usJc z<=U@{X6BvRp%ob56|Q*5A|qz!Cb#BEj`~IuufO?~#v~`O(|OIg<(+#<tBqsBJcVaI zyi{4Ey7QQ^*xx1rmksyU{c6gr6g7z5WBNsAZFzD2lPrhYvup)6d`#gH+ZMRSa;2PH z>|?y&Z0C0;ql<ZZmxU|Y_y6B=i;HLK)}I|Wb+fId&GbLNbv?R_v1%#XqrYccnq6n! zxV!lC!Jc)ep2_{WYG61i`Qa4LGrD;{GIw~0D2d)rldPDbv`F)~=Z<7~i3-N72dYkO zX>WF&xoFmNbt?BEWp%;d|MyQm{^rWgl&<Ni54CviF4DQ#&#-dFj>rA~RvW%uyhY{e z(k?50pRzRnnf1(_3xW^Y$Q@s?U4ZMcxZb1>8@<ju)bp=Pk-S~IN6F6NO4G;x`hAOX zm6c8Y{B7B{eNGJD#BPbSQx{(D{;apx<Gb{(Gt$@pMBUu8=bXp7&JHF$u|83^*UP(# zx)(YJEet!Ge|z5ASetdzEQ__RIn9-yJpJTu_du|2b^N2b6+DeG$I6B8^f}4#@3Fa7 zIyazp*{#SNw%aPkGYZcAIT?J-eL?+gj{svXl`}o3zc4Ba_8s%%_MEIdH;pOnz-rS> zMS=4n%aV*^69054SGG@kyeLwx_)ChY$*Ihfk5*qh)FB|fd7GQ|36nL~_Do6^N(xzU z<=VyW3Hl|oj=f}-skz!yf8_X`JqAa1D823~QN7w4F4d$Kvcl!1pl8mXz$3dhN%))( zbxm9Oh{H06O`0(;W7B~}RvT>vR?bn(IOotQFMMh9IZx*>RbQD^bNGyv<Jh!s=q&jV z<ZzMAvQvt2vS-}Mt2d(lNG)wjb9WUp{g9aA&XKS==JZsrbp}4HPMllVrbYQJ6WyHY zn<8+m;lRS$tCp!j(<(wfW?l$4d$qSCHEi{!gV7JG@>ZS^onW$hnvipdNY}blKF<9d zM^BgtD{k)K+RCs(>rybE_No{|u2p3d--I?AIZj$}%wuQ4l4HIh5$<xAOfPNd<<9QU zUUZo;?esD=Q=PV+fMYC-EylVweANq<FiR>ekT94k+o~4q73TcBl9^4gwd7t_!Yso! zSFLN?GJEt|*017eauauRXmT@;&3-iNEvuf8^5e#~-ycfymI}J<X|HPf5g&QWk7?oi zi3?sVWsAPr^2Ra1jKS;V^VuAeS7kIU4moPHVk-ZUX&X(0;(`N1qVGrdI4w1;os(|Z zZQ8{ua;3vC!OUeb%iixhq8zj@W;R|kogm8W7Ru^j>fh}#MSv}-{K&>NcYZFIqV!TS z;DyUZ+04}(TbFPoGV{C_yR_W8r!n(|cJP%W6Q6XgUlq{2RpD{mCEb8vrS`eyC%>yG zTXS<sXf$g3l*kDCB<1AfZZo-+dDYNy)5!@r$r6`+d6yl#&343$x7l}Nk8h8(l(cZ> zwi&l143fpZsVzVJy*u?Zv+eT<aocCkG*V;xYA7m|EEKpW$9z`u?tN7!T{N;gma^VI z>T+$D^m~TOZce|R@G1OUwO`{=zv0ApLB)T)DyARrQm+$kS7DrJWVv+BuFbdEyh1eR zPD?sDX^GdRXG`s4)+;D4{*&0qZolQ=TbqM@bFcDEc#*Ti^7jF@wEPu!uE%rSW7skM zi<{n2%|%I)_H%NYzb{^`;U3fTK{`g5p=FjWKU+ajgy`<$+hZ4p#|S_73p3b%>ekUo ze-1sj`dz4d=33V(fpt+jT8B)h<OuTj?Yp0`E$?BMWN7>yCJ%Fd<FAqdHhWLV+H{}y ziOyfMYJ!4t-^;6ZXZ}2nN>gF3&zbpfB42%`d|vgJwU2u$F1bA~dePb`@n@CRh8``x z7awo2bEx)YyR+WwQK{V6zq*;x`uDB>`JUFcoG*^tdAPkaTfBA4@(zQCQ{Qiud0C<% zGN<v}l|}qD4&nLkZ?~r&pL{XOWLvcIv<Ua$wH*wMy!LbV&t5p|)b42(7JE7-ZhLr} z)&Iz;8_8Sj%Z}7GP0#!JcG=`gpT?+7>g<gnHV^$W3fws*zXX0-dGOvx2mOF1*@kCn zoX)CdB|mQqnqS*!bMQ15OSOcQecatOb8BawzV`kupKb@ok_$IhG$_jzu5)vepO!n{ zPEKU9Z{z<>=jOQ88@0Uj4_dLB=XEf*{6>Dp36k6so_Uv)ixli#k@BQn!8>bh{obd_ z8<$G#T<xO#<QY%H!=J(bjSgJ*N}c#2=KSpg@|&Hclv5jvR~EQfYA?P!k#YS+gFD^F z)>S$OZN8ta;6LTP>+S^i#SF%-^N$;Hu3K$*WO3e_(o=aa-ac{Pe7UVt=W9yc$|rGE z7q+ylT=!dhWm>`FE>S~4#shKhE-E?3KjdRtlUiMTB<%Nrov{lJna$2wXU^GMpB69v zI_&49AP2sa(r=BHZd~>Cm6K&z@$3sTRt7ou{0bBNyRWd>HkR{_2-}P;+qac6b=0%1 zVavSa<gd;&Bg*Ty77vT<299j=rSG2g7rtM#;-N%fXqf8M@1C8jaztLgI&N`(lDNon zs~(M=%W9G)F(|Jy-ryjco)<SY^l{z#xaU!|TIS|w%%^S>NG?dbrm_6|YLyy(Z{FAQ zcHOyq=v?l+&gK9&>kEpiZ!)|mywp(s*p>96sX>4*;;FZR_K{Dn?O6trLOop)%%K7a z2iby3FC~2BzjQD*O(nuz>i*aDzjD8NKaI<MQd+~f;^Qv19tWiYO{ew?B8QD1o5}fk zcC6<~p6MJ~=KRk!w$Xge>!(&8{w6HC)*PJ;CoV)DxZ$(<bc2h@`=sD|>_^{faxGAO z^Ik1_=YEN)4`bT><`l@9@wvAs?t9rP#KApV{`|jmZJRe7M>cN0(=*v=|HfDk#_Rnj zYh|DB=4p%57TRIO{o9#wuXKs5rFDY;{a{b=>|>SJ`lK1R_^xr;@$22=2Ft?5FWOZP zv>m#7@YW1#W9=gT(;_R~GECb-ryrly^F@H^ap}fMHev6V?D)U)=Y&tolzO{dKFRd@ zP2A0q(5TY4Q-0-(#|!pJ*1eSRGw<$OZyi(h$ndp{I_qBDIESPug<Cw`H&569=3B~8 zG3%{UYmHF}!@a|E)PqHP<tyY}*2WmKB(bs|Q8RpAmdN|ymt38)b(oez)Qmav*q<yF z@2+^B@Hh0~GNlv6*@9P-6PBH>XIy43JN@ib4o(FRiT_?*v#iTs9c$}2vp|7e*x#+W zS%$G}xpMsUschQE)Q_Byc-pO3qW*JN%cFz`3EjI6?2|7F`Ca-q;J~RX{-1jv?OU85 zwUaG7?%@0Ni3_(p=6f6N?tb`gNxi4T^2g_Am93q`x;0tu<d!LXOe>|-CE7%V^%p)8 zzNK@^al^gkMN_OzAMN7KjCuKDT3&r*P;1YcdseF2o}n?JzJ(D@3SR^m4?SF;`r)L_ zwvNe@avog%Fz3w?&6bed_JnYb=h2NvK4^2XRd%Gmzb+G}bnW2(lnpIDp?6Qm?t9mx ze`4zzb<vF)B@JJ#BoA$JSbF!7)2%C)vJ~f^&OESI`OevibA+uk9iAOhxXrS6mSgX^ z&z%gm=U2Vnwd96ks*T|0$v>o)U-*zwxn;A%^eq!lpIy#*^~FSnWHyD653gQT#udFj z-0C@7f7ON<p~EgdX-kgHcJFY~=rLM<B-L;(d!=6_>n#cYsOyet>hnK#xmd<0_MUo_ z)fIixcAe5pN15>TepyM|eN9<5`)uG*((JVkFcx%mEW0$%DoA(!xwqXr6{pq6@t(ah z{aCEAq&NTmB2Jm&$?J}`zU=>Hv)-=mU1}+Np-D2wx_&<19n&^nP&oZnRI$ucjA@TC zYsSe6R^EeiD!H2)^F*B%cyCMa_jtc_V|C!djfpchUbB{HdK0yFSpZY>OErau<pLYn z+Rt(*=$h?Z)YG)|-~=v17lFc@n~ZYYT&pnm6nkyJA#xjvJLexF^5sM33LV~A2 zV_bXbcGWj~@~_uyz7>6>CRA_nkN3CNXTP}j;bWZZku#>>!kLtOA_5sI3V$zP5~}am znsR>kTs5vqo^JXjM}?C!MOP%G&tksHp#42yUVYnruU(uv=Qs|g7;L><s`9M)kIQ@J zO0M7Oep-LbtrxgRiMSLzX4(JY(An-{jTVQfzy*?D9<=02am$o2C>)KrbYjcCvnfg3 zha-aL%I|PdXmu2w;P`lI0aM74-G|TfmG}m{Uz^T0O>iX}^L-74D?8hSR@@UP?&#B6 zChd}Oc)R87#w&juw~Mgl7ZeCAaGk1WvsB#niHptN%@@8Oi*(Wy%-V5AR){&JPw76B zpHYe6-?H@EZ1%$Qlias`33pMoy>Hp>tsEPCCibcQshO)T>*nY!5oGm9i+!Y^o9)}V zA<(erz}4w<>;1RRxMHlnyTK>gY2#YMT7_xX4{>NFbG!Nb>1!M=nzdoGp>0LEP;0@_ z1Ijm#YVSCbHp@NXTMj>i6z3Vw4WT-2k5)QFrA>O3($K`S<@(weg5Hl(zqz<7Yiw!O zFsTk&#VPN&kh|pchl?{aymu!)-6A|Q<fyhlpFmBp>Sd39(M}oB+4e3DJe5}*Mb3y9 zwe)$-U!yxywO#-6<gZcZCf(m$mHDpt_vxvpmU*~3IeRL0iq)%erbX!OoSn9@-{n%X zKxnVekEs*fnHU+&7|#4Sdfsj^pXl_-x6UZdJujslQFGnPX2XY`S8i+C9Q70!0!~*t zM@mF1v^@Dgo$qs)f#Eb>^B7LA2?y4B=4I_<wf)!;P(1lg%h%rK2I+@WJawntS2XO+ zzqw!`%SyKukt=15JG%B6U2F;Gn&Pz7sDD}yi>UK5ahKpvZO39xzA9a78MVmH^ODWq zySe@sZ~tU*Ol3)&_=xvtpXm{g-PWd6ZqXbw+{Gn$*Ew8IX8bSFq1*eXAX0xO(}jB5 zm6|?Nd_C(Mv>n%q<~sE+s5=|7tUz`}Lk7>w!k6dL6a^ES_OfkJQ<%i_fX6&8;`r|+ zuFqnu&CW`1e0h&?&1><Ft45Ybdt8?8n{axwawKbShWY7P4iguw_hsYb6mVrooRgyB zHg%c7Mdp`%mlh@Vh@?!g2z)c``VUXeJJZF>S%oV-V}txHHSe#|4%YYUx_0x{MHbec z$a`*yXTNJ|C3GC;$@%c<OQ`V7?aK_4TjKUz{Uh^G&D^2k?FLU9yZhX^ch<BEFZYhT zue~&HPXE~xrw;%8HsPjUylkN}v!a!?^CRu#SuT6;S3Y&mud80#&|rSCBd++?K7Qx^ zqko!L9A015wOKK0g^SU?Bj;ln#7^GScXcl8ujvnRjQGC&l-A$Z@^hwyv}|QBS-K`R z<gKZIW9Jna2kC!L)1vQxd0f)l@#~yw+M*-!uWq=kxj%E-#h0;f)$Msdt3~ZwRHxmV z*D>SYf@xBv*FtW-FR094_<NR@*a_uF+=^l`3ocpS_c^xn<Sm^eXY~)iy0+ojKOg7Y fA^ks!O@gMc;JC76-V*zd<to9goIJHhzb^m)fA=f8 literal 0 HcmV?d00001 diff --git a/data/SP.rda b/data/SP.rda new file mode 100644 index 0000000000000000000000000000000000000000..550611c66327f54e5dc1b5f9df98b13686f19d56 GIT binary patch literal 560 zcmZ>Y%CIzaj8qGbTpsdj76ZeH`v3ne-82_{m1#P2qWaBhky`ox|Nn2;Q>lAFCQYCx zA%>Z81LMr3Q#>n{U6eGrASIQ-%eZhW<5m-9|KKYO%nl}oQW;h4E13O#6&JKzn%BAI zqEUaa1GAe0!vzKg#szE*j0+gpnw1?U1*N)Om=}CVeL;V)iOCE%6O${pZaxew2Aq=> z8+;9IISwxClb3ZYl&kgr;bZT`BP8rldOqj+tmZ>uJqwK-dAr>Fm{}Z>Zf?Ey-1rf< zlDAr_$s#{i>2o^EJg*r^sHOQ@#^hhR;4!gLdY<+24n6-}4DZdKK4j206mppv_$)n# z`L6X|^8*auS*=!7DK>ojv+J<(uJbATo^Z7E&Uo$GDY81@smia@$+Lo47cMKAG~v+2 z8!;+#H8Pi-HByqvVmc7|f#XzAe4|fZ=8pWIe6KI<yxx>~*kbpxKq1fR{JC6{c3yAK z6YG-a`1-TZ^Y@SGJC#>UK4k2j{#xR6V8YtJL0(FSyJR=mNCk1QUA+>fa<+%(@BXyf z$~_wv9A)6jdVWq_c!~Y<?`Jvo{NH}E*1`U4*dY~0%SKD-3y-+Pn3J~z{q5r@DV_ee zrGK-^whJ!rcf6jm$AyFSJk#&<1+JGEJcO^?2i@J`e{RpyX&!2`Pgl!?Bp5MttYxjw zm!9;tAu3fsv?nXUWzOQOC*OtD-`FC{@_lkyQqYX>^Wjw)jJ|ibI$n|48dAIHU-@U} V5{@G~_A$NlSk5IR@@j6d0|0`I`Dg$D literal 0 HcmV?d00001 diff --git a/data/TAM.rda b/data/TAM.rda new file mode 100644 index 0000000000000000000000000000000000000000..cac36e0d543bf39fa3278cd037b925601659c7e2 GIT binary patch literal 3385 zcmZ>Y%CIzaj8qGbwA^Fpz`!3+|DO<ez&)Swd&I(J@(gSpnIY57q*Kk*rfto+GMRzp z0D}($9v~F5<kl>?2~rsulDv!yKniW$u4KM4G0HGukTPQ6m10Qw%D~IO*6cQmfmy-i zLI&dkDaHjCn0y$785j*f>T%)BB^*~W+?KDDTfU@j<$^EmD__;EkXvwZOXGwSyu8eA zZ4L|<UokHD%D`}|ZB~W}o8y8EsSF0G6t+x5LuThI4E!EOOj@d3bxSUMWnXd2ahb5M zl-%+anJ=X(l^rq{d}Uu8xYyThmQ?0bW?w0}#qKLonAP0oE%-EV@r7Az%~vWNzS{a4 znPf-@zRI}lYwPTg#B1wp%H!awGUdoso7rwFAG@u5Rq1P#>(4S<Bv<gom5*vi`L7zz z@Lc(<)7E#(l`FS0S5&E;T$DCzW&@j7#pElWOl=l!%9Pgl>+7GP`Krq2%2&B%^A=n_ zYST8uXYz#^voFn<^X2_fmWme=nk;!wl`@y8_;>|zM7;ixXsOz2utr(rNLlQJV@gUa zsw!G6D}KyB*Qqxpr!_D$(NQyD=ZWn{PJXvu{9q=l!&WE%0~%|OF$%S@IWh#b$n;9j z-^*U|!C|%eQO2BxcO8Pu8XY7WBpN!nEt$5*sh%v<tGaexBHL#I&lV>g9s$k0QzmS2 zS?GHuL3(r9j*B;&-t(_pw{nu7k(+S<e_h=5OX{D(`L<=<+p=Qq6WzxfjxajRaQMoy z?bJ+W*%r3uSwb&_TOQ?X6W=h!%ISpr!If7Q#1u%jINB|_lD^Y%s>$cJWgf>IEL4=1 zbGo}INSuCTz|O<<=0>3~Z*)n=ywGp$k9-bZl{mC7aAH!%6YphJf3B_Yd*a)l`SWq{ zL%k)7jBYOZARKqlrtIaT_cC|b*S47D`+F|@(7Zix;_Y<#rw=Q86P;c)8n0>g`tV#; zDC4qT>Y?A>cVxFS{@u&}$CBa5P5<`Q>m^Oyd&4$!e305GyNr`(=gT`YKR?~`P0)Y- zlFg}Q!5YO$$qHH-4ZM%P2AngTb^Nh%x5C0TPD};yOKyB`RNmJx!=6E?zB}whQNZ%* zm)<k-pOhX?xy7>5Tr;isnErGFx&GR<PDwKqc@HjS^6vF|e01l>H+Rxsd@p+!E_w9B zoMHtfTb6~Noi{V*`Z7dS?0IGU&z~{<j>43-Q&V2gm%r%q_OohIh4^{-xX{4r|4Uc$ zHoE={+Z4e6;y%01gfgjqRkoZ>?*e^V>`&@7Pf2*s7SEDy`DD+HMb*|D)cH=FyY_d> zj?O5RFWmX64_{?-PS$fQGV6NUt(1AkxWMXJ!uuK_*9k!<uC<s>*zWS>+_A*(R(cmo zgeONBq;cr1Jh9J)F}H*%;fXA3wmhFGb6J0~b-vQ`56aT-b}4RBcyYq=+1^=i^GYQY zJG~ZpMa}#%W8$jLhiO53C+>SKX7jN;Imw1K;YD2V{#h~Cov&m}`5`%J;)LREwQZc) ztUBce4W7I?YMe36!dAB{wK+U0MHGHq2y@U;TXXHAGwbs|&y*Mg<gK}0m+#1U-JH^9 zDXrGnY<H^q(^4LxMg9k3MW(HL%aYc)?@G|jIVUH@*>xH2mG55m`jh1~tsY5<2`O4L z+!C5Tay?~!dFf?cFYlL|*>^vdEqJx)I*;ZbrVVB$SCZc?$Xm~P&d#TKwdKie>kn6c zTD)(=8n+~o6A8sBn!*`Z8DB0qx8q35zP+BlOb2S7vv0SF*tWpvrp|;jA8MNO-x!%r zJCe$FY<2m{Cf=Q|!cEw9R_>Z$QCgO`JK<l7!-Z|X^)5HYikz6X=Y^o{yBFqt?oL;- z<~zl6DDmgc?9p>eI6d=q;ty}Ov#)0ve$`Oclzh*%tb5@{f$wR_dtb^;5@`4~p*U*q zmUSm9{aqLs+IJs~`ZB9r<Li8@aBH4jX(l%-@{)rmACED}^9$cv@H6}O?a8mEewpI- zHX@-yEaqH!Vx7zCTOTVb7fV0toDu4{QkmH~WP-<HsSW<>e`j4>JoN-;Qo6>PJ2^l1 zTK)8C3JaT+cr#$u#S4>SJj1k<bQTM$Y_dwp3aB~2viDMmLxAbEi&M%zt`K4s;>!09 zdbpS)B9F^rk=vgYQ=ce%e6kX|lEd+C+v+<jnJpTZYwnm5obc4;XLq0H_x1J1&#P6f zX<WRk{&qs-3x(gdwW=!?9{+jijI8`7m8eH9!g&+6v3wNZsNcEf)f$&YN^arNJaM|3 zjfuPgw-lK4J8pj5vSl*+zCH~Tx2UI^+E^Q^{4zS39F61C%MMP{m}Wk68{2`PIR^uj zJr3xt`+nh;WKFM6s^-Qy*X!9mR7KPUety{C!pjh*w5K;`(vnHVtWqAF%bcSX)x>h$ zlCGD`|9qPNRb<1NLzxdN6S)()cK={E&GY?fUgZ>aKyHWQ5rtZzzeQ@B4<0F+#B$m8 zPM^fVV}08g9EwyTo#wx3yu`?m8zjB9kIU0Aw||`z=NTr(L(-+4OAdH+*iD=f?jLi! z@7P3<1BM-Hfo}iB+N84?q|@501r>~0w2Ws6)`_o~cvi6G#39btD;~aZzsz~^7)N}R z`G)K%3e3$h#rIO4M*n2mQ}kc0upz)f+p+aU!@|FgQ7e^JeeGloTA(0(Nk3rs4*BJk zJk#D4%?$jQva50VB_6KHoXt%7n{CgisqX!xsTo^n-qz)H=<(#~v;W*HS9+gW<5{7r zyYGF~_7;KALoO}?j3;h=^e_^hJonp<ryczko7uN~_OX1dHuYToJil)n@~*UHUCI&k zTP*c-PWBnShv)ZwG+}j^&9fj)YBDpI#mcghARX2@MUrb~x9D&m42b<EC^T)$noTDc zJbC%ZwAY2nz(>DvSF4L6*T1F9eUqoo3Hy?{bV}7?qp6A4>^ElrkDMdFe*@Q_nc))) zou068SMQpj;LjmtymeaaqS>*0Q)b;**)?hJPFtI}e$LwddjAt^c{vt7T4FT&xA>2H zZT>G7if(w|!1e7gqtXMnjZ0>)U^=wu^Qi^dHotC!`};>!Kf2Yhi7UFtNnhN%b$aP9 z%Y^mH>3R8oCA+nQUR`F{wf=``E>{~<&e?}6m&q<KDs&DOnr1G1W$L~{#=n~t=Sh7% zFlV0Gi<+y~`%?3&R=IqrE9cnMf59PY`Kj6WSf&>5x3Dalv|+<GCDGdxD#MSTJJk4I z?cuw_4|jgEyy(4Iuw4HUgV7=>g}op8x)eI!Ft;vv(Y|{5`V+5ZBQu$r87t07cf6du z@ad!430GV9lnUqfCmgssHBl<hZ>z<=F9*C>^dEj_dhVttbU}UXZUf)8doC3RTb5<L zV_e3g>fN=ha$2R^#qVnlC9|1LH_e$gCouK+y1kpZ7WJ~+-WhyrS;f-j%PuxveA_Jc z`OlU+_8j+)M<4g9-(VVJa_~22-S!!ab$1q(DKER^7}zM;bT;|<`XA@d%Z6^{+VD~G zgGE|g!2UeO2CufAZdZh!o}aJmvFp>P#nYnK3SXMMqWXkUY=8~JhdW6-7Wf-T6~6i) zX=8nP?s;v25@CTmx}hS9bIi7F-yyi^)`{(BWIgWL_($GYw#NN#@Pn+7NtLgg4m2I+ z@ZWXjl)aZkx4L%ibjB^sPx-XFe9Tv$`F1b1CBw3y;OMTb=Sytv*sCw!C!omXYW02Z zr!&qjKC9QW9o_qKdCSX9Z{Eq>HDBcX!^=2%yWSL=PnQ0U@qPbuW9~?%mk4i&(CuD% zJmzAOnctt=^1E(Z9$C($eky?Dm#y8F&oYM(G-XXTcRuaj6F76mluIwYy#D4tHsFvD z7Sz+c^+HKbo#jTc!erk`dYKkou9t3g6+KKlT9mi_r^oY(#4x9(Sntb)XI1{b>Q(=_ z`izw6<+Y(Nj>!2;s`os~)=&_oP`i0rM$qq!_17yp)Y^l-biJC*^jM;=Sn1<unWdhp zX{z>Ka_65ZAN+VNgy-?4FaG{pRyn_E6*VuFy5?Uju&O8H)B<S+Teg7XSK1sTHmI6$ zMy+Nzel<2rZ97}lf}6{1qc)U%emOr*sWQlxeM!;rFMN}hp6*pkc<LXqfmdy{i2c-6 zzkfA-R(jSnt7h8cyUN!ZQwyd!_886Y^)=@Ez^ib%*+Eos5wEDn?EI^K`7inM?|L7z z6m|4F${wd!o@KUp!92B>9Y<^rsXr2#ET@0^R=VT-JsF=oU2fLBVwN^f?0dy_cxs;S z!zYO%r#i~^>fI`OS$IVJK~K&syE_ll582Nah&UtVcyQUA3r!z7`cCKR9WV^n`>kGE zl^l20aDSoR^vd(h-li3gT>bax$h|GmVf8iVTl1rS=dBo*Q=NXIY`F)o%LUB4X%rXo zRlp)<X7!%qK2zPoeV;62@Ljj>))(!=bE?}Uw1l=TH2ib)f@FNivzNA>o9kcOh(;-= zt^LZRx3@yNQs&FM2Q`Wp{R0bm!yX*mRP%#lbLTN772p0ZHby2_6yImwW;eRde&OfW xgZ&F_n*P^Yu5Bz}PJV33`R`2XT*E6`uO=P-FlABy|L&bib2L0;?nx|Q001w{I>`V4 literal 0 HcmV?d00001 -- GitLab From aad15091657829cca54b8f9e4af418d2d22758c6 Mon Sep 17 00:00:00 2001 From: bruna wundervald <brunadaviesw@gmail.com> Date: Sat, 1 Oct 2016 15:49:11 -0300 Subject: [PATCH 08/30] Adiciona o @name aonde faltava e corrige o .R da MorettinTb4.10 --- R/Bebidas.R | 1 + R/CO.R | 1 + R/Energia.R | 1 + R/Fortaleza.R | 1 + R/ICV.R | 1 + R/IPI.R | 1 + R/Lavras.R | 1 + R/Manchas.R | 1 + R/MorettinTb4.10.R | 49 +++------------------------------------------- R/NO2.R | 1 + R/O3.R | 1 + R/Ozonio.R | 1 + R/PFI.R | 1 + R/PIB.R | 1 + R/PM10.R | 1 + R/SO2.R | 1 + R/Temperatura.R | 1 + R/Ubatuba.R | 1 + R/Umidade.R | 1 + 19 files changed, 21 insertions(+), 46 deletions(-) diff --git a/R/Bebidas.R b/R/Bebidas.R index b12d016f..a01b2178 100644 --- a/R/Bebidas.R +++ b/R/Bebidas.R @@ -1,3 +1,4 @@ +#' @name Bebidas #' @title Imposto em Bebidas #' @description Dados sobre a produção física industrial (PFI), de #' alimentação e bebidas elaboradas, do Brasil. As observações diff --git a/R/CO.R b/R/CO.R index d0b0ab15..c52fc0e9 100644 --- a/R/CO.R +++ b/R/CO.R @@ -1,3 +1,4 @@ +#' @name CO #' @title Emissão diária de poluentes na cidade de São Paulo #' @description Dados sobre sobre a emissão diária de poluentes #' (CO), na cidade de São Paulo. A tabela é referente ao ano diff --git a/R/Energia.R b/R/Energia.R index e362cef4..b9f8535d 100644 --- a/R/Energia.R +++ b/R/Energia.R @@ -1,3 +1,4 @@ +#' @name Energia #' @title Valores Mensais de Energia Elétrica no Espírito Santo #' @description Dados sobre valores mensais de energia elétrica #' no estado do Espírito Santo. A tabela é referente ao período de diff --git a/R/Fortaleza.R b/R/Fortaleza.R index c22da688..28b5ee99 100644 --- a/R/Fortaleza.R +++ b/R/Fortaleza.R @@ -1,3 +1,4 @@ +#' @name Fortaleza #' @title Precipitação Atmosférica em Fortaleza, Ceará #' @description Dados sobre precipitação atmosférica, em Fortaleza, #' no Ceará. A tabela é referente ao período de 1849 a 1997. diff --git a/R/ICV.R b/R/ICV.R index d2245c06..2756ca7f 100644 --- a/R/ICV.R +++ b/R/ICV.R @@ -1,3 +1,4 @@ +#' @name ICV #' @title Índice de Custo de Vida em São Paulo #' @description Dados sobre o índice de custo de vida (ICV), na cidade #' de São Paulo. A tabela é referente ao período de Janeiro de 1970 diff --git a/R/IPI.R b/R/IPI.R index 5937ab1e..40db7a6c 100644 --- a/R/IPI.R +++ b/R/IPI.R @@ -1,3 +1,4 @@ +#' @name IPI #' @title Imposto Sobre Produtos Industrializados do Brasil #' @description Dados de imposto sobre produtos industrializados (IPI), #' de produtos alimentares, do Brasil. As observações são mensais e diff --git a/R/Lavras.R b/R/Lavras.R index 5d21fbbd..a9833e5b 100644 --- a/R/Lavras.R +++ b/R/Lavras.R @@ -1,3 +1,4 @@ +#' @name Lavras #' @title Precipitação Atmosférica em Lavras, Minas Gerais #' @description Dados sobre precipitação atmosférica, em Lavras, #' no Ceará. A tabela é referente ao período de janeiro de 1966 diff --git a/R/Manchas.R b/R/Manchas.R index 1e63b7a3..fe467430 100644 --- a/R/Manchas.R +++ b/R/Manchas.R @@ -1,3 +1,4 @@ +#' @name Manchas #' @title Número de Manchas Solares de Wölfer #' @description Dados sobre o número de manchas solares de Wölfer. O #' período de referência é de 1749 a 1924. diff --git a/R/MorettinTb4.10.R b/R/MorettinTb4.10.R index bac2ed2a..57992278 100644 --- a/R/MorettinTb4.10.R +++ b/R/MorettinTb4.10.R @@ -1,50 +1,8 @@ #' @name MorettinTb4.10 -<<<<<<< HEAD -#' @title Preço Médio Mensal de Café -#' @description Dados de uma série do preço médio mensal (corrente), -#' recebido pelos produtos de café, no Estado de São Paulo. A tabela -#' é referente aos meses de Janeiro de 1970 a Junho de 1979. -#' @format Uma série temporal (classe \code{ts}), com 12 observações, -#' em que -#' -#' \describe{ -#' -#' \item{\code{Jan}}{Número decimal que indica o preço médio do mês de Janeiro.} -#' -#' \item{\code{Fev}}{Número decimal que indica o preço médio do mês de -#' Fevereiro.} -#' -#' \item{\code{Mar}}{Número decimal que indica o preço médio do mês de Março.} -#' -#' \item{\code{Abril}}{Número decimal que indica o preço médio do mês de Abril.} -#' -#' \item{\code{Mai}}{Número decimal que indica o preço médio do mês de Maio.} -#' -#' \item{\code{Jun}}{Número decimal que indica o preço médio do mês de Junho.} -#' -#' \item{\code{Jul}}{Número decimal que indica o preço médio do mês de Julho.} -#' -#' \item{\code{Ago}}{Número decimal que indica o preço médio do mês de Agosto.} -#' -#' \item{\code{Set}}{Número decimal que indica o preço médio do mês de -#' Setembro.} -#' -#' \item{\code{Out}}{Número decimal que indica o preço médio do mês de Outubro.} -#' -#' \item{\code{Nov}}{Número decimal que indica o preço médio do mês de -#' Novembro.} -#' -#' \item{\code{Dez}}{Número decimal que indica o preço médio do mês de -#' Dezembro.} -#' -#' } -#' @keywords TS temporais -#' @source MORETTIN, TOLOI (2006), Tabela 4.10, pág. 100. -======= #' @title Preço Médio Mensal de Café no Estado de São Paulo -#' @description Dados sobre o preço médio mensal (corrente), MENSURADO -#' EM ???, recebido pelos produtos de café, no Estado de São Paulo -#' durante o período de 1970 a 1979. referente aos meses de janeiro +#' @description Dados sobre o preço médio mensal (corrente), +#' recebido pelos produtos de café, no Estado de São Paulo +#' durante o período de 1970 a 1979. Referente aos meses de janeiro #' de 1970 a junho de 1979. #' @format Uma série temporal (classe \code{ts}), com 144 observações #' mensais, de janeiro de 1970 a junho de 1979. @@ -52,7 +10,6 @@ #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries #' Temporais (2nd ed.). São Paulo, SP: Editora Egard #' Blucher. (Tabela 4.10 pág. 100) ->>>>>>> e1617dfa2b701bf8b350a6cb4c360eac1e9c5aed #' @examples #' #' data(MorettinTb4.10) diff --git a/R/NO2.R b/R/NO2.R index 99c7625f..ece32a22 100644 --- a/R/NO2.R +++ b/R/NO2.R @@ -1,3 +1,4 @@ +#' @name NO2 #' @title Emissão diária de poluentes na cidade de São Paulo #' @description Dados sobre sobre a emissão diária de poluentes #' (NO2), na cidade de São Paulo. A tabela é referente ao ano diff --git a/R/O3.R b/R/O3.R index 47d0d245..8a956ca5 100644 --- a/R/O3.R +++ b/R/O3.R @@ -1,3 +1,4 @@ +#' @name O3 #' @title Emissão diária de poluentes na cidade de São Paulo #' @description Dados sobre sobre a emissão diária de poluentes #' (O3), na cidade de São Paulo. A tabela é referente ao ano diff --git a/R/Ozonio.R b/R/Ozonio.R index c56e13a1..64ba9b88 100644 --- a/R/Ozonio.R +++ b/R/Ozonio.R @@ -1,3 +1,4 @@ +#' @name Ozonio #' @title Concentração de Ozonio em Azuza, Califórnia #' @description Dados sobre a concentração de Ozônio em Azuza, #' no estado da Califórnia, EUA. A tabela é referente ao período diff --git a/R/PFI.R b/R/PFI.R index 2f8b85e5..430ee1be 100644 --- a/R/PFI.R +++ b/R/PFI.R @@ -1,3 +1,4 @@ +#' @name PFI #' @title Produção Física Industrial do Brasil #' @description Dados sobre a produção física industrial (PFI), de #' indústria geral, do Brasil. As observações são mensais e diff --git a/R/PIB.R b/R/PIB.R index f01cd74d..67c8adb8 100644 --- a/R/PIB.R +++ b/R/PIB.R @@ -1,3 +1,4 @@ +#' @name PIB #' @title Produto Interno Bruto do Brasil #' @description Dados sobre o produto interno bruto (PIB) do Brasil. #' As observações são anuais e referentes ao período de 1861 a diff --git a/R/PM10.R b/R/PM10.R index 9c9d44c5..a7b5fc75 100644 --- a/R/PM10.R +++ b/R/PM10.R @@ -1,3 +1,4 @@ +#' @name PM10 #' @title Emissão diária de poluentes na cidade de São Paulo #' @description Dados sobre sobre a emissão diária de poluentes #' (PM10), na cidade de São Paulo. A tabela é referente ao ano diff --git a/R/SO2.R b/R/SO2.R index 18c7dd36..87f21abe 100644 --- a/R/SO2.R +++ b/R/SO2.R @@ -1,3 +1,4 @@ +#' @name SO2 #' @title Emissão diária de poluentes na cidade de São Paulo #' @description Dados sobre sobre a emissão diária de poluentes #' (SO2), na cidade de São Paulo. A tabela é referente ao ano diff --git a/R/Temperatura.R b/R/Temperatura.R index 16fafb33..ee10aa07 100644 --- a/R/Temperatura.R +++ b/R/Temperatura.R @@ -1,3 +1,4 @@ +#' @name Temperatura #' @title Temperaturas ao Meio Dia, em São Paulo #' @description Dados sobre temperaturas ao meio dia, na cidade de #' São Paulo. Observações diárias, referentes a 1º de Janeiro diff --git a/R/Ubatuba.R b/R/Ubatuba.R index d1c0338b..c0423013 100644 --- a/R/Ubatuba.R +++ b/R/Ubatuba.R @@ -1,3 +1,4 @@ +#' @name Ubatuba #' @title Temperaturas em Ubatuba, São Paulo #' @description Dados sobre temperaturas médias mensais, em graus #' centígrados, da cidade de Ubatuba, em São Paulo. A tabela é diff --git a/R/Umidade.R b/R/Umidade.R index 80aad19d..4655843d 100644 --- a/R/Umidade.R +++ b/R/Umidade.R @@ -1,3 +1,4 @@ +#' @name Umidade #' @title Umidade Relativa do Ar ao Meio Dia, em São Paulo #' @description Dados sobre a umidade relativa do ar ao meio dia, na #' cidade de São Paulo. Observações diárias, referentes a 1º de -- GitLab From e88fe9f216b15c587fa6263c1183c9e42eb3e982 Mon Sep 17 00:00:00 2001 From: Bruna Wundervald <brunadaviesw@gmail.com> Date: Fri, 14 Oct 2016 09:12:29 -0300 Subject: [PATCH 09/30] Atualiza o .R da Tabela 4.13 --- R/MorettinTb4.13.R | 59 ++++++++++++++-------------------------------- 1 file changed, 18 insertions(+), 41 deletions(-) diff --git a/R/MorettinTb4.13.R b/R/MorettinTb4.13.R index e4b8ab74..fb57c301 100644 --- a/R/MorettinTb4.13.R +++ b/R/MorettinTb4.13.R @@ -1,55 +1,32 @@ #' @name MorettinTb4.13 #' @title Vendas de Refrigerante #' @description Dados de uma série de quantidade de vendas de refrigerante. -#' A tabela é referente aos meses de Janeiro de 1970 a Dezembro de 1978. -#' @format Uma série temporal (classe \code{ts}), com 4 observações, -#' em que -#' -#' \describe{ -#' -#' \item{\code{Jan}}{Número inteiro que indica as vendas do mês de Janeiro.} -#' -#' \item{\code{Fev}}{Número inteiro que indica as vendas do mês de -#' Fevereiro.} -#' -#' \item{\code{Mar}}{Número inteiro que indica as vendas do mês de Março.} -#' -#' \item{\code{Abril}}{Número inteiro que indica as vendas do mês de Abril.} -#' -#' \item{\code{Mai}}{Número inteiro que indica as vendas do mês de Maio.} -#' -#' \item{\code{Jun}}{Número inteiro que indica as vendas do mês de Junho.} -#' -#' \item{\code{Jul}}{Número inteiro que indica as vendas do mês de Julho.} -#' -#' \item{\code{Ago}}{Número inteiro que indica as vendas do mês de Agosto.} -#' -#' \item{\code{Set}}{Número inteiro que indica as vendas do mês de -#' Setembro.} -#' -#' \item{\code{Out}}{Número inteiro que indica as vendas do mês de Outubro.} -#' -#' \item{\code{Nov}}{Número inteiro que indica as vendas do mês de -#' Novembro.} -#' -#' \item{\code{Dez}}{Número inteiro que indica as vendas do mês de -#' Dezembro.} +#' A tabela é referente aos meses de Janeiro de 1970 a Dezembro de 197?. +#' @format Uma série temporal (classe \code{ts}), com 48 observações mensai, +#' de janeiro de 1970 a dezembro de 197?. #' #' } #' @keywords TS temporais #' @source MORETTIN, TOLOI (2006), Tabela 4.13, pág. 102. #' @examples #' -#' data(MorettinTb4.12) +#' data(MorettinTb4.13) #' #' library(lattice) #' str(MorettinTb4.13) #' -#' fivenum(MorettinTb4.13) -#' -#' xyplot(MorettinTb4.13, type = c("l", "g"), -#' layout = c(2, 6), xlab = "Anos", ylab = "Vendas", -#' main = "Vendas de Refrigerante", strip = strip.custom(bg = "white"), -#' lwd = 2, col = c("violetred", "palegreen2", "yellow"), -#' scales = list(y = list(rot = 0))) +#' # Médias anuais +#' aggregate(MorettinTb4.13, FUN = mean) +#' +#' # Médias mensais +#' tapply(MorettinTb4.13, cycle(MorettinTb4.13), mean) +#' +#' xyplot(MorettinTb4.13, type = c("o", "g"), pch = 19, +#' strip = strip.custom(bg = "white"), +#' scales = list(y = list(rot = 0)), +#' col = "tomato") +#' +#' # Gráfico da decomposição sazonal +#' library(latticeExtra) +#' xyplot(stl(MorettinTb4.10, s.window = 12), col = "turquoise") NULL \ No newline at end of file -- GitLab From a39f73126efb3a5e0b27c228a63b9a5581acb371 Mon Sep 17 00:00:00 2001 From: Bruna Wundervald <brunadaviesw@gmail.com> Date: Fri, 14 Oct 2016 09:12:58 -0300 Subject: [PATCH 10/30] Update MorettinTb4.13.R --- R/MorettinTb4.13.R | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/R/MorettinTb4.13.R b/R/MorettinTb4.13.R index fb57c301..1beab841 100644 --- a/R/MorettinTb4.13.R +++ b/R/MorettinTb4.13.R @@ -2,10 +2,9 @@ #' @title Vendas de Refrigerante #' @description Dados de uma série de quantidade de vendas de refrigerante. #' A tabela é referente aos meses de Janeiro de 1970 a Dezembro de 197?. -#' @format Uma série temporal (classe \code{ts}), com 48 observações mensai, +#' @format Uma série temporal (classe \code{ts}), com 48 observações mensais, #' de janeiro de 1970 a dezembro de 197?. #' -#' } #' @keywords TS temporais #' @source MORETTIN, TOLOI (2006), Tabela 4.13, pág. 102. #' @examples -- GitLab From 4ed05899f232b09680b5f961b7be2a4e108bff15 Mon Sep 17 00:00:00 2001 From: Bruna Wundervald <brunadaviesw@gmail.com> Date: Fri, 14 Oct 2016 09:19:09 -0300 Subject: [PATCH 11/30] Atualiza o .R da tabela MorettinTb4.12.R --- R/MorettinTb4.12.R | 59 +++++++++++++--------------------------------- 1 file changed, 17 insertions(+), 42 deletions(-) diff --git a/R/MorettinTb4.12.R b/R/MorettinTb4.12.R index f8c73675..c1b2671a 100644 --- a/R/MorettinTb4.12.R +++ b/R/MorettinTb4.12.R @@ -3,41 +3,9 @@ #' @description Dados de uma série de quantidade de vendas de óleo #' lubrificante. A tabela é referente aos meses de Janeiro de 1975 a #' Dezembro de 1978. -#' @format Uma série temporal (classe \code{ts}), com 4 observações, -#' em que -#' -#' \describe{ -#' -#' \item{\code{Jan}}{Número inteiro que indica as vendas do mês de Janeiro.} -#' -#' \item{\code{Fev}}{Número inteiro que indica as vendas do mês de -#' Fevereiro.} -#' -#' \item{\code{Mar}}{Número inteiro que indica as vendas do mês de Março.} -#' -#' \item{\code{Abril}}{Número inteiro que indica as vendas do mês de Abril.} -#' -#' \item{\code{Mai}}{Número inteiro que indica as vendas do mês de Maio.} -#' -#' \item{\code{Jun}}{Número inteiro que indica as vendas do mês de Junho.} -#' -#' \item{\code{Jul}}{Número inteiro que indica as vendas do mês de Julho.} -#' -#' \item{\code{Ago}}{Número inteiro que indica as vendas do mês de Agosto.} -#' -#' \item{\code{Set}}{Número inteiro que indica as vendas do mês de -#' Setembro.} -#' -#' \item{\code{Out}}{Número inteiro que indica as vendas do mês de Outubro.} -#' -#' \item{\code{Nov}}{Número inteiro que indica as vendas do mês de -#' Novembro.} -#' -#' \item{\code{Dez}}{Número inteiro que indica as vendas do mês de -#' Dezembro.} -#' -#' } -#' @keywords TS temporais +#' @format Uma série temporal (classe \code{ts}), com 48 observações, +#' mensais, de janeiro de 1975 a dezembro de 1978. +#' @keywords TS #' @source MORETTIN, TOLOI (2006), Tabela 4.12, pág. 101. #' @examples #' @@ -46,11 +14,18 @@ #' library(lattice) #' str(MorettinTb4.12) #' -#' fivenum(MorettinTb4.12) -#' -#' xyplot(MorettinTb4.12, type = c("l", "g"), -#' layout = c(2, 6), xlab = "Anos", ylab = "Vendas", -#' main = "Vendas de óleo lubrificante", strip = strip.custom(bg = "white"), -#' lwd = 2, col = c("violetred", "palegreen2", "yellow"), -#' scales = list(y = list(rot = 0))) +#' # Médias anuais +#' aggregate(MorettinTb4.12, FUN = mean) +#' +#'#' # Médias mensais +#' tapply(MorettinTb4.12, cycle(MorettinTb4.12), mean) +#' +#' # Visualização da série temporal +#' xyplot(MorettinTb4.12, type = c("o", "g"), pch = 19, +#' strip = strip.custom(bg = "white"), col = "palegreen2", +#' lwd = 2, scales = list(y = list(rot = 0))) +#' +#' # Gráfico da decomposição sazonal +#' library(latticeExtra) +#' xyplot(stl(MorettinTb4.13, s.window = 12), col = "violetred") NULL \ No newline at end of file -- GitLab From 97dca7145fd36a8470bd28391f6caa9bd0e075d2 Mon Sep 17 00:00:00 2001 From: bruna wundervald <brunadaviesw@gmail.com> Date: Wed, 19 Oct 2016 17:29:58 -0300 Subject: [PATCH 12/30] =?UTF-8?q?Corrige=20o=20formato=20dos=20dados=20e?= =?UTF-8?q?=20algumas=20documenta=C3=A7=C3=B5es?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- R/MorettinTb4.12.R | 2 +- R/MorettinTb4.13.R | 7 +++-- data-raw/MorettinTb4.12.txt | 54 ++++++++++++++++++++++++++++++++---- data-raw/MorettinTb4.13.txt | 54 ++++++++++++++++++++++++++++++++---- data/MorettinTb4.12.rda | Bin 362 -> 280 bytes data/MorettinTb4.13.rda | Bin 373 -> 304 bytes 6 files changed, 103 insertions(+), 14 deletions(-) diff --git a/R/MorettinTb4.12.R b/R/MorettinTb4.12.R index c1b2671a..b6e181bc 100644 --- a/R/MorettinTb4.12.R +++ b/R/MorettinTb4.12.R @@ -17,7 +17,7 @@ #' # Médias anuais #' aggregate(MorettinTb4.12, FUN = mean) #' -#'#' # Médias mensais +#' # Médias mensais #' tapply(MorettinTb4.12, cycle(MorettinTb4.12), mean) #' #' # Visualização da série temporal diff --git a/R/MorettinTb4.13.R b/R/MorettinTb4.13.R index 1beab841..f46f1930 100644 --- a/R/MorettinTb4.13.R +++ b/R/MorettinTb4.13.R @@ -1,9 +1,10 @@ #' @name MorettinTb4.13 #' @title Vendas de Refrigerante #' @description Dados de uma série de quantidade de vendas de refrigerante. -#' A tabela é referente aos meses de Janeiro de 1970 a Dezembro de 197?. -#' @format Uma série temporal (classe \code{ts}), com 48 observações mensais, -#' de janeiro de 1970 a dezembro de 197?. +#' A tabela é referente aos meses de Janeiro de 1970 a Dezembro de +#' 1973. +#' @format Uma série temporal (classe \code{ts}), com 48 observações +#' mensais, de janeiro de 1970 a dezembro de 1973. #' #' @keywords TS temporais #' @source MORETTIN, TOLOI (2006), Tabela 4.13, pág. 102. diff --git a/data-raw/MorettinTb4.12.txt b/data-raw/MorettinTb4.12.txt index 21b6cca4..05e42212 100644 --- a/data-raw/MorettinTb4.12.txt +++ b/data-raw/MorettinTb4.12.txt @@ -1,5 +1,49 @@ -Jan Fev Mar Abr Mai Jun Jul Ago Set Out Nov Dez -317 194 312 316 322 322 317 356 428 411 494 412 -460 395 392 447 452 452 517 397 410 579 473 558 -538 570 600 565 485 604 527 603 604 790 714 653 -626 690 680 673 613 744 718 767 728 793 726 777 +x +317 +460 +538 +626 +194 +395 +570 +690 +312 +392 +600 +680 +316 +447 +565 +673 +322 +452 +485 +613 +322 +452 +604 +744 +317 +517 +527 +718 +356 +397 +603 +767 +428 +410 +604 +728 +411 +579 +790 +793 +494 +473 +714 +726 +412 +558 +653 +777 diff --git a/data-raw/MorettinTb4.13.txt b/data-raw/MorettinTb4.13.txt index 95fa9eb8..609ca96f 100644 --- a/data-raw/MorettinTb4.13.txt +++ b/data-raw/MorettinTb4.13.txt @@ -1,5 +1,49 @@ -Jan Fev Mar Abr Mai Jun Jul Ago Set Out Nov Dez -143 138 195 225 175 389 454 618 770 564 327 235 -189 326 289 293 279 552 664 827 1000 502 512 300 -359 264 315 361 414 647 836 901 1104 874 683 352 -332 244 320 437 544 830 1011 1081 1400 1123 713 487 +x +143 +189 +359 +332 +138 +326 +264 +244 +195 +289 +315 +320 +225 +293 +361 +437 +175 +279 +414 +544 +389 +552 +647 +830 +454 +664 +836 +1011 +618 +827 +901 +1081 +770 +1000 +1104 +1400 +564 +502 +874 +1123 +327 +512 +683 +713 +235 +300 +352 +487 diff --git a/data/MorettinTb4.12.rda b/data/MorettinTb4.12.rda index 3a8c9c1ceceb4de48ae7d5ea00525598a1b85aea..7228897659cecba7b55e05c0169e9d76bfbc087a 100644 GIT binary patch literal 280 zcmZ>Y%CIzaj8qGbOmhDo!oYCp|Nno54h{~EB@8Z3Ar4llckAm9I50XyI50RkIJh`) zI5-+GT+30?xa@0`WR%%)f?09m#K{6DUuDQOTv^_^pm*i6SqzK|c%>LFNSP$EEb?5y zz`*9fz`(%3!gye-Otqh)z^QPSz{M|TI7}@#G+*pcT2jo}0w<UJSf82FWnBRb?lQ@1 zR$W%pn|A$kMu+NF2CmbrjtwhgMC>#<9a%C(r87IYE(;%OGk=rocf0SK_M_@%5nYad z=j|7)me|F^;Kb^FWo@l?%2h*~@+E6usH%AEvEzGDy@zSb*N*;K1&X2#3mRt0PB{E2 lUgf;mAp?)Hq7}dRM6;SETLnbU^Z2Ltq^n?|!jb-WD*)YyaK``u literal 362 zcmb2|=3oE=X6~X+gGXHtk`fXUk`mI=QWBEbj3Q?=uqZQgGpkQ{_W7*7m#*f?Gu)m= z7mZDl5)z&<cS%`@#3wK?w$EY~*u{7%e;&g^V;O~#qih^^Ii}{fo)R~Ac)GAe_{yBH z75kDj_WxoI`Ome&hP_2Eu;CVeXuLSX)_CUKHJ6z=?(!MSznaIk;#V6N$K5c7g{KqV zwXe$F#d!5Uvs1X^-SC|ZSO1vJu()#HS4dzN^Qre1jHUV^wYnxYw-&t1Z(g;!W!7bm zQh#r@kp1k;EDMeZ6?>)WO?Z^b;Hnb9*HL+4N&&;vC#uhui80?i6j1uVA%bCzSXNJX zl3dTrX;Ey+ztqGI&gk=W<+$jxW7{Pg7Gw5xX14Ojc>Hu54gY#S^x0ptLsV~N=!-Zl zO}0weDYs_GKD*oaqwXHJLGJ%X#%PTVYR^@~#GU^h;W1X<zC_|wO4H^WMZ(@)M%oJ; QKkzfmWnH#}otc3F0Kl%1=Kufz diff --git a/data/MorettinTb4.13.rda b/data/MorettinTb4.13.rda index ed523b12cb7a2ad66bbec478ca16f3ebff422e0b..cb04e235d56adb9c31233978c7e6ebc91a039b5e 100644 GIT binary patch literal 304 zcmZ>Y%CIzaj8qGbyltbhg@NI6{r`W44h#;CH4ZLLAr4i~|K`50dF1FI;lSYFz;M8Y z!GY0$;aZl$3Wf`euS^)E*cvV{@UF;Nd`jl8FXyYwS8|gbjF^QTE-v%sWt?E^P}SI} zxzLDb#;nX2GZ&g1aO>saIN-)|Py0{XfoK5{?q_Ez(<Pc-l(@JwT=uwmd7n#PXs(9A z@AXqcSMnJ@KfvUw!m7#~SnL`R7yn+!ab1JTWfwOG1CA?<j7K?MFmQLNJ~w2v?3|yt zP^Vg&{rl|iaogp!+pi~b2F_75<meQb$iOJja6xy)x~jar-!8Aro?YknDf6eUmCBAU zy53*2f8OS=-(z5|)}n2(sfl+Ti{GyV-;}Bj#zicNH?%M61<sDps=2EFMdIO~*png; Lot$$%Ou7I7en)-* literal 373 zcmb2|=3oE==G;lXUWXkd+Lq7MirONwr@=e?(fvbn1-m)|L`x?w4dykyu*7ucv{kOr zYm&BJC{x^_W!vOl@RBiRN6ACRs-{Ov?pte$FrWN<?#bVOMwVXD*__%3C5$DW8>SVg zK5nZz5;5njmYOl^{b`pz`fZXvz4~>}$0fI74Uh73>l<HJpVsa2(@{k2+VUewy)PQY zZ+s6v@<6uE?Tr4TzlxvAJIo_)uc+_b6&`V2FurkppPkg~BhMNlT>rBDs&(7@P5PtU z$FuoK*_}6js@g4lZ}zGDVEA44`4#O}`X{dECi;Deb>7b}_OWpK3#D`J^{GGdH1i%! z`LXk{)|t&86s}sAp7)JNn{rfmovg-QhWi0`S56eq{MNGkX<zI$Bjp<1?VJBqT<<*O zbuZ$Xa{jsnPdDmrwb5`b+AlEG<M#E*$|n_MO#j^8ar5_*m(}sgdAv93;}c)$=r=JK g7tTFCm2rvS%FJ+&`zs#^^ZaLM4Sg%Z&dk670F|q?#Q*>R -- GitLab From 980bde8cefa6d0d0ed89db18f6e4043a15a08710 Mon Sep 17 00:00:00 2001 From: Eduardo Junior <edujrrib@gmail.com> Date: Fri, 21 Oct 2016 18:46:01 -0200 Subject: [PATCH 13/30] Corrige minimamente os erros apontados pelo devtools::check() MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Não realiza nenhuma verificação de código, apenas faz com que o pacote possa ser construído. --- R/Bebidas.R | 14 +++++++------- R/Globo.R | 8 ++++---- R/Temperatura.R | 8 ++++---- R/Umidade.R | 12 ++++++------ 4 files changed, 21 insertions(+), 21 deletions(-) diff --git a/R/Bebidas.R b/R/Bebidas.R index a01b2178..fbf39459 100644 --- a/R/Bebidas.R +++ b/R/Bebidas.R @@ -1,16 +1,16 @@ -#' @name Bebidas +#' @name Bebida #' @title Imposto em Bebidas #' @description Dados sobre a produção física industrial (PFI), de -#' alimentação e bebidas elaboradas, do Brasil. As observações -#' são mensais e referentes ao período de Janeiro de 1985 a Julho +#' alimentação e bebidas elaboradas, do Brasil. As observações +#' são mensais e referentes ao período de Janeiro de 1985 a Julho #' de 2000. -#' +#' #' @format Uma série temporal (classe \code{ts}), com 186 observações #' mensais, de janeiro de 1985 a julho de 2000. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries #' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A8 - Índices, mencionada em diversas +#' Blucher. (Série A8 - Índices, mencionada em diversas #' páginas) #' @examples #' @@ -23,11 +23,11 @@ #' #' # Médias mensais #' tapply(Bebida, cycle(Bebida), mean) -#' +#' #' # Visualização da série #' library(lattice) #' xyplot(Bebida, type = c("o", "g"), pch = 19, col = "rosybrown") -#' +#' #' # Gráfico da decomposição sazonal #' library(latticeExtra) #' xyplot(stl(Bebida, s.window = 12), col = "red3") diff --git a/R/Globo.R b/R/Globo.R index f3beb334..209d162c 100644 --- a/R/Globo.R +++ b/R/Globo.R @@ -1,14 +1,14 @@ #' @name Globo #' @title Ações da Globo -#' @description Dados sobre os preços diários das ações da Globo Cabo, +#' @description Dados sobre os preços diários das ações da Globo Cabo, #' de 06 de Novembro de 1996 a 27 de Dezembro de 2000. -#' +#' #' @format Uma série temporal (classe \code{ts}), com 1037 observações #' diárias, de 06 de novembro de 1996 a 27 de dezembro de 2000. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries #' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A9 - Mercado Financeiro, mencionada em diversas +#' Blucher. (Série A9 - Mercado Financeiro, mencionada em diversas #' páginas) #' @examples #' @@ -17,7 +17,7 @@ #' Globo #' #' # Médias anuais -#' aggregate(GLOBO, FUN = mean) +#' aggregate(Globo, FUN = mean) #' #' # Visualização da série #' library(lattice) diff --git a/R/Temperatura.R b/R/Temperatura.R index ee10aa07..8366afac 100644 --- a/R/Temperatura.R +++ b/R/Temperatura.R @@ -2,14 +2,14 @@ #' @title Temperaturas ao Meio Dia, em São Paulo #' @description Dados sobre temperaturas ao meio dia, na cidade de #' São Paulo. Observações diárias, referentes a 1º de Janeiro -#' a 31 de Dezembro de 1997. -#' +#' a 31 de Dezembro de 1997. +#' #' @format Uma série temporal (classe \code{ts}), com 365 observações #' diárias, de 1º de janeiro a 31 de dezembro de 1997. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries #' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A7 - Atmosfera, mencionada em diversas +#' Blucher. (Série A7 - Atmosfera, mencionada em diversas #' páginas) #' @examples #' @@ -18,7 +18,7 @@ #' Temperatura #' #' # Média -#' mean(temperatura) +#' mean(Temperatura) #' #' # Visualização da série #' library(lattice) diff --git a/R/Umidade.R b/R/Umidade.R index 4655843d..edd1b140 100644 --- a/R/Umidade.R +++ b/R/Umidade.R @@ -1,15 +1,15 @@ #' @name Umidade #' @title Umidade Relativa do Ar ao Meio Dia, em São Paulo -#' @description Dados sobre a umidade relativa do ar ao meio dia, na -#' cidade de São Paulo. Observações diárias, referentes a 1º de -#' Janeiro a 31 de Dezembro de 1997. -#' +#' @description Dados sobre a umidade relativa do ar ao meio dia, na +#' cidade de São Paulo. Observações diárias, referentes a 1º de +#' Janeiro a 31 de Dezembro de 1997. +#' #' @format Uma série temporal (classe \code{ts}), com 365 observações #' diárias, de 1º de janeiro a 31 de dezembro de 1997. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries #' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A7 - Atmosfera, mencionada em diversas +#' Blucher. (Série A7 - Atmosfera, mencionada em diversas #' páginas) #' @examples #' @@ -18,7 +18,7 @@ #' Temperatura #' #' # Média -#' mean(temperatura) +#' mean(Temperatura) #' #' # Visualização da série #' library(lattice) -- GitLab From cc51033d1651ea96aa0204e5c1fc7eebaa691934 Mon Sep 17 00:00:00 2001 From: Eduardo Junior <edujrrib@gmail.com> Date: Fri, 21 Oct 2016 18:50:44 -0200 Subject: [PATCH 14/30] =?UTF-8?q?Adiciona=20pacote=20'zoo'=20=C3=A0s=20sug?= =?UTF-8?q?est=C3=B5es?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- DESCRIPTION | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index 4092c831..5dacc9af 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -43,6 +43,7 @@ Suggests: reshape2, MASS, qcc, - multcomp + multcomp, + zoo VignetteBuilder: knitr RoxygenNote: 5.0.1 -- GitLab From 95f3d31428dbc1b81413c42853fdeb09d77939c2 Mon Sep 17 00:00:00 2001 From: Eduardo Junior <edujrrib@gmail.com> Date: Fri, 21 Oct 2016 18:51:53 -0200 Subject: [PATCH 15/30] =?UTF-8?q?Corrige=20dados=20das=20a=C3=A7=C3=B5es?= =?UTF-8?q?=20da=20Banespa=20PN?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Corrige formato da série para 'zoo' para que as observações fiquem associadas com suas respectivas datas de coleta, uma vez que são coletados dados somente em dias utéis. - Complementa documentação e seção de exemplos --- R/Banespa.R | 29 +++++++++++++++++------------ data/Banespa.rda | Bin 7586 -> 12522 bytes 2 files changed, 17 insertions(+), 12 deletions(-) diff --git a/R/Banespa.R b/R/Banespa.R index b46dd379..5935db10 100644 --- a/R/Banespa.R +++ b/R/Banespa.R @@ -1,24 +1,29 @@ #' @name Banespa -#' @title Ações do Banespa -#' @description Dados sobre os valores dos preções diários das ações -#' do Banespa PN. Os dados são referentes ao período do dia três de -#' Janeiro de 1995 até 27 de Dezembro de 2000. -#' -#' @format Uma série temporal (classe \code{ts}), com 1498 observações -#' diárias, de 3 de janeiro de 1995 a 27 de dezembro de 2000. -#' @keywords TS +#' @title Ações Preferenciais do Banco do Estado de São Paulo +#' @description Dados sobre os valores dos preços diários das ações +#' preferenciais do banco do Estado de São Paulo - Banespa PN. Os +#' dados são referentes ao período do dia três de janeiro de 1995 +#' até 27 de dezembro de 2000, contabilizando somente os dias utéis. +#' @format Uma série temporal irregularmente espaçada (classe +#' \code{zoo}), com 1498 observações dos dias utéis de 3 de janeiro +#' de 1995 a 27 de dezembro de 2000. +#' @keywords TS TSI #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A9 - Mercado Financeiro, mencionada em diversas -#' páginas) +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série +#' A9 - Mercado Financeiro, mencionada em diversas páginas) #' @examples #' #' data(Banespa) #' str(Banespa) +#' +#' library(zoo) #' Banespa #' #' # Médias anuais -#' aggregate(Banespa, FUN = mean) +#' aggregate(Banespa, by = format(time(Banespa), "%Y"), FUN = mean) +#' +#' # Série regularmente espaçada com médias mensais +#' aggregate(Banespa, by = as.yearmon, FUN = mean) #' #' # Visualização da série #' library(lattice) diff --git a/data/Banespa.rda b/data/Banespa.rda index 2bca1d8da99854f19f5e32d7873d7fcbeb7b20c5..474200182c725f0d8caa1474b6e8191b1e240838 100644 GIT binary patch literal 12522 zcmZ>Y%CIzaj8qGb{J`@58-w(Z{{+DU^(MJr3=9k`%r6~SxnF)SX_{JUbUSm$j{?S{ zS|O7U1TZk?id1dOICpMGn~mPH=4_S_S6}9<R*w(waA1hrqH#GV)pmM$)IpI&!ft2% zh2}YAnq)3tIr*~Z#N~^mBv-yNv<dc|XzM%KZP~nKnfAdPRVpX9+WJ(@TYSoQ%e;xN z{Dm(H=Ln<-pEzkYQ_9reWZvY=Wy?%13(V_rT-G@&W8Rbi22>yg=CZ%PDYTTAaoHug zh09+hn%XWkGwJoeFmIMoX6LqL4J%Am1RqK4oX}`!av+0=msgT;*^C)8{e2mZ%$Pal zmJhS9k%`I0l`qs%ZKXP2zO?msY|8AA%E+`8=4>!IlDXu|g?Y1P%noMjnH7-5#B!ja z<K!}vnJbst1gEY1l{q2H)@1Tmf0dl&t@11UgU|Z9FI(QZ^4XLx^CX$n6n_T3GWi_r z`Pi${IH;Pd|8mG*wv}&#ubk<1pYo@v(%;pF)z&unaL89%qnT}8lEMGK`hN`#<#B8| zaoN|<&?K`Z<H*GZHy<}&Nw%2`5-dj~*;tMoG&z)La@m)0L3I%0GJ%u?Va3G^GXydl zW>s=F2zd(h@?@yBu$uWK@p4YN;VkmWL_%$b0?&+DnR3d(7cQ%OP`DiOsmeskh}S5y z(P&=7kt3JYe0hDBWz0&-kZ|)6xuG_zY9)K~hyJTdj{_2Gru}>VBD*d$X4|2ypPMdh z5%+Wa*1PW0^R>)pZKd1d-rB$4^rXVVJ56Uo(Z`C`#E?>f$A#CA2>$vr=a-rA#<&c> zX|_63eyzLXT3qSF#TS^(6e;Sn<X!d0qguaqm`qPzYrSt${n>}zF-tD%dR+L=wTJV= ztKU9V%Vae4qwDH77tef@Yt@=PyX>D>>E@~0Vy)}U4=d}2YtPP{Imhbeo6Y}zXY2T! zY1u2>6d`}~Ph!u6Zih})rIcj}sw*Z4W&C9c=@S+S=KR}ziG|UAqO<_#LoJSj#+QRs zReB~WFFDfbsy9ic<cP=QORHS=duj?51#{LJ97^tT)Mn{4l$)rvOvz<hzsm|$Utu4X zVAB(GT~r-oR2dn(ns#_Ib)0=(Y`k;ko_A^G)6bksH?BN$=6UDL52ksKHl`+>O_o?K zX4tc_c244~;+eP1+bi^+%#**Bx#;B<%WHp)ZpI(@;FrXxQp^5^&qK`gP3o-E+fJLO z&iWNM{qoPZ;^&`l(Fj=R)XM18%G1il<~U)YQ!AIqArY`3mxx9%N5Dd-8BVPRt;wQI ztz05Tl3XA;2ap~vrdF<F+N@k6nk_KpU}1=MH%F&dF43M~ur^kZt_2zaCqU-;D1z)j z)dJ-mN`#oG0aCxv!A;`?NMZ&;J=ppa0Sh7S)HsoX>>7v@QCwr_)XF8;C88{11X2h$ zhY`#=0Tnc81zYFT%9RN5@&av%H6j`TpN-Gk)ZCYKe&JBKB~L|+-6{1hkD>yr$00={ znGT=N2ln|&@P&7XzUSUC@7Ja&0`qR{KR5l)H<v_3PNfg*M?J+W=32iit78&VIv|^$ zYF47eA#3=uZ^GvJ$1nT*3VjrE@3K~M`<m66*XGx}c8z<LZ1S9=c+SkpGbGPRq#Msj zOLLy#^YHM@Gm?GNCbiu&72NtDsNmEM-*<Um7hN;^>wl@ztR&z}+!Fi8Z>>K}UVUcu zoR^}jc`VO7ob%jJEL!>KiBq#vTKXRcvZis*<Yny^E!gD9V)FQi?B7|u;$N!#jNbU| zb2wo2u;rZR?Y|$Hn_s`$5&J{rq=4Ij2Qln%2W=**HrGv-tBt>ToqwsmWL9OW^@cv? zqi@qXoP0~}`J7FhJ!^YIQ=pjH?pG7<hr909S}@7b>!aVdX9r!%i{`NKY@8wYR5SSL zkG5&@tsT`r|E26n&)Peg{f>xGmFBrS9bv^q3tfL*+P=JBw>7o-Y3CAA4UdjA^Dq2@ zU-#~La>CnlN9E&nTp5Ph`U`{1o7msX;`~yqrlKD*;e30^0q@0U^QEtGF*LTRI4|Bg zJ#OyY+@u=|X6DYA?j-i&K;;sp+6_Pdz1dOzT-5Q+Io8TP*ZADneeV~}471hHzM2#t z&m)##v*yd%D{Iq4rdw@$P-6J&my+5f`Bk&q!@75$U=`I%6No>M8Zi6gmoxL;bqR$? z{QB@+D0+h6-|V%kF7~}mV%umo&wBGoHIwb;jH;VT&pZ+H@OZcVn-<Tt)S5+sEMj(n zy&pc;_|1!HDp5S}d_Vue_eV@P)j3pa;?>)i?1*@MZ`Ev(uyqO+jT82tdr~Mnq5sx< z>sF^4tC}6}D_b@k*8FDhk3TX`*~$CN@&*2($NG*I?Ogul+@tvYk#iUxnV-EFo*BRB z@s~O67ynmYDVVye|MnF>l@%`@b~A6>`~O7y{ZChIwD<yY_FrYwk_@;qjkn?ZVxJvC z_xa0(mblhC_Bv0g{qJaeVt=^4^QozeZkXHZ%@Qn1+Sd26KJZa!-$AX50_|5eUH52W ze_geh|AwocS;fpPT?aHQ_p!~BJbJBdM)lgiOXD9WO)+-PDwOj(pDtzh`lGvmjq$7C zQybOG)^$w`D7}&2SC*|+wx@9Wj3rHdg30gi@}$VfR|T`LJnRzoVaj0xKBw~MpSt-< zJf?IjG)MD1$V{ua_(JBt-GWDoj!bK3-2Zr8qj@Ti>yMjmJ8PsjEm6`x{Hp%jWG;y` z36t{y?j>7)?&v$7aqsP^dYRxu>tysi<|$suxuLEjeRW5Y&%=a`o<A(^@2`{#-@Ctm z;qfWI<9{wTW|^-RKV|Kmy$kK8UUptGz01S$_Q}~scbg}(^DmvZL)=MUzb!RVcQuc3 zsay6srla#FMs19ps;<5$*0XKqO}}@n9B#W8&A!m|apmNw-wS?Jmnkjr>(f{%x99WQ z$fAo&);?Hz_gllY<iHDot1qW_wR#=BXtr&pk>;wxk_$(~e;hWdf5cE>H$Ad#8{@-z znJqr&p6MSv8B+H~m+9S(*wg^e+zZpo)OS_3t7zxF=nQ#PdH7p{bo-inOSi_Hm=u20 z*y7%#Wxe;+%%)5>V?5d3_I8(;o~OYlrfuTC{H1>c=sDaJu&?jEp<5n!;J0&wqQhVD z;s>^^KUvDVDjZ%hq$lR-97r*k(hzmV^v!SGd7pnNr%z<a%sVX*^Kl_x+I3ekCB@ov zk`He2rft4q&X|4UkNsyJ;gqwl4VJCga%*eMrnLulx5ph>FyHv{^iLl>^Y8w)5cns4 z)_Z!SA%l2IRm|5KOXnOe&K>5p7ZVI_b5Dw${&>at%ISH3`P<k1W%XTd#4=;fxyeT_ z3%!f<d~3GD%4EvUKR1t7uKD^$$oYG_+vIeO)iy`nrKhEBnPs)*Vc^AkyE^~9QUBGS z@kb@~d*RxSx9g;jGaKE1b70S5GsQxySMds0`D>jc&A+WZW3ike)80K^=!`?@StenP zNsHV&-6oVDd?&%UMd9Z^K}PH8@or52KYwQYTE9K#_hOmZ%T_G)*vV7q&>8zTUc>Ti zk$h&xg^hQvKNmQD;;l%W(2<$$YlFJ-9&bDv=BK&zTI_v)ZJ`SLe=i09Wj>l>KdE7s z^C7uEFM}ptUTfW4qN|p(dd)uHwJf*1)AF`2=>5Cx$5gN0keh{7>5(U=XLecj_4-`C z9h%pEwN9ver)1~0rGFUqtr9jm=@C;h)1t{+>g*50B1?(3_&W-WW^dbl6z9F_lAGzX zGDyFV_sy<*rN8EROU+mNZGUIIjQZR@Zn?z;6DqeR@y|}+R(o?UH);2pO=pG9L_}`0 zns91S(Z=M%%a=bhyuR`4{m}BC-oKY97(aM(b)jhL8$<4;S0bxgd;dOqU-UCK!%@>? zZqans>*9UKU)pVG3(ef?*S30%+nuGIKYJZkXz*IU-lBTx)d~CKN9Be8@4wi5x{&>s zfA`{hZCU0~+p3ovE}iJD{O+#OSO5J>1o(EY%HrR6XWEW8+1$UlOSfiUzIC{1Ld@r& zlj&)tv$n-CoozWO@Or)(htR+C)8D$BoMD?j>Geg{b4@>v?l07G{{HEc<c<G!nG&he z_m_3WPdXNs!CZW0RohG66sh05$_GQc6do=-`~8c|`Gfgie`qsJ&+yxx{CSUwNz-KB z8_)W5oMN+nyPv!CLMZyb!?U9=f0(bC`u?j*=xLGs$1Vz=y^B^<2!#A{^zOVhFW|WQ zAwl)J8B?e1Yn;1PVEH+_B~#jxSFD@m=JF)T{=d-I*{hcpM9IG~DPmD7K6JdQ;H`Y@ z+x<NK>2(v`lT}zf4sX79|I4g1d&Rih-g@o}`jpw)zE<x@r|O@8_|Ok0gg<KP%s4T3 z%bw|i&v_JX?7#f>s%+rWy=JpRL}&JXNU-MV`tT~*xoEbE^WBh#z8{&z9=~MXl&>~< zAJgG2&*!ml>8n{x*H?J7>)YkM5sL5i+ztP`&0x6it#ogJ(i&d1_<O~93yy!57C#j} zMY-z#`*WvF4VM;H9=WqAMv&E}R?k}co0rb3SiVJvdX~;V^kR9IQ(M=H`dequO!Sd@ z$S}h#qRQsF2FJnE)*exlg66DoQ>kZv^|ABt64@xvAfxS}AHBQ+t#(v@|1O@Duvp;8 zm+u$*-s@cXT&1`B%l=(#+q7HP{*<<Sb-z(g@G|S1-&6ifb>#YYNqVEvk*>#|e!erb ze^IjMXXW#Kn@#@Bo6dNq;@X76XYLAk&9hx^`gp=-8^@_?B4NE#R!3iB;Qgm*eEx6x zzgf)uHCrZsXIEBEQC#d(UTzV%Aph~?WEG3YF>&`N8vik8*L(kRPJvfLb*zJDplVe_ zL3qrAXJ-=?q|=V{gsBUz_!1>{aYA9a%cssi6SsFn$DK<ysOi;vzv=&fBa<hprBnPP z>K8wa4u8Kq@t|DAmAN-HI%+!QU!1Az+<1F^SWM4Tv3K0Z>!$CPlr+75=!=Z?QBU5k zHOpsZ3-o%2er4{eIQ1z|ZfUpY&HjGHd(STDuAgvX(bScTclex(J8)!f#n(w^*6|mA zcoTYC+F$3WTGpSmE85;?6ped)&X!#LUDOvG@qCxw#-m@wJNA5Dnswu9+_Os$m5Xlr zWjo(%JN`zqwNT`~p3zyelxUef#k#p6_jEVSsaWD}?h<OgB+y9Y|7osSuSGrAxNcnJ zCb&=O&9jp`V?vFui~6xLY0C)d^VReeeNvS%Qk|)CEvhT^{EXAgUOCx(bDlL`)tQ@g zs&w+Io0iM1s%KTN+_}nX_sn-2o^5!|ml4aoFe5TCBi3`J(WNZk`B(cKJ1^ZY-?>Lw z?#>URR;v$FC68XH`qfhQ<J8;;RmE$|VpIDJxHW>C7wB*W%~<N_bI7M?RYGaV-&09G zi;rtP^Xgzf(Q12WzW=PmDXdNnCoMm6FVwpKW`d~Bq0>8-Hh87|VJ}<xWiRKm8)tZb z)>l-jxXOQJy(+VQ$BM7hv#%TwHG9@mB-<N!W=V06YSWAB)+=({_ncZPCv;+J$hJeB zmPwNKD;dA|FLbqh=DD56=oQ}v>-A;HH)<aFmxTyk^D7nSS?a7g|JjwATU(pfNZ4s6 zU$eaRc~bK>#yAbbgW>F&UTtb~4PrH|)=zqPU-i?eC9<wFwRRgzYOOl-%(a@$`SZ-@ zXY9DvbF9}n*T|hW;WVq4!0J;EjXal&xp}{MKBdwjzHsx>r{_*2%S`nP4SXLTzwW_= z)a<`S@iu3~E=d}eJ~U$A+|>W=l=`1la*FF2FEw9SA+i5)U$bhkB8%2j!$;BrQ!F;_ zKj_rr`@WX_=t2`tV-vQJD;!=wOSiXmO%`oZ`J)rfx?uVIuWJ9*jF~M<J8wMbf9m1s z#_q|f6m69sQ6u{MwatdaXtgzWLvps{pHSIWarTJsl1vvV<~@(hbgqbIv&{Iu@4%84 z-_5yGPG8*fV(Smle9_CFCAo9vy*d-RvGo0!OzCyOg_$jGSH5}NEOT4$n{V4AVwQe; zt8>e{Kf80x#24#zOe|OT$e7eG{LR$-QlVR-(y|k0x})N+@4oWN`DyKnm-0n&uZ}D~ zy7zNT&`O_Ex1GOPXC|KOzxl<U`=zK+$KGeB4qW#$U;5*BSb)*odXA4p@=wyOrgogV zG_%vV_BY$*yN_mzK7P2P<b<B@yYI?(v?``teK~W|{&2?x+s0{1S0_f^S=DN|ti<T| zu}WE;^1WGKrP;01dfzY|IsMswQrGhx)z2NJPk;M-c-5@``e(E=wPT(;S*e;$)HlB? z{@^(Oj+*;b1%KY>AKDSJ_5XT*o!0K>7k2n%zJBPwdUEupjW(Ih;p?rFLz++Y@7bf` zcwnvF%#X%$Gn5bJ)(F{e4wjbDJb!NbxAT!FUryXM=jP_B)VQK0kD|T3md5XVIeY1= z`l9{Jm7-bRXV}(Fak_ps_M0_FjJeLT?hS2~BG1>KsPC<6FRMM(t&=(9>5psQHf%cQ zJhhtn!s8vQz8y3C66$fb<T9s(%qi&!$Fd5zSLUid^ZNR=Xx|iz{<AMmXKZR~TX(r; zdudYca%b6{E50i~TrP0^yKe3G?1_HNldWvKMZ}M>ytH8!@Sl=x=FQn0v~kaU&wUpo zJ3k+>dc0J<^NxbQxbBB%3Dp66b}EXN-g<iJ<E8(bwQ5clPKk?Sidv}6qs1wld|x{G z-IpwhEq``PJm0o$EuY1)Cz3N#{%JlCRx5b@^XKVxf0uh4H(b@}cHwEy+{+ohejk=E z4|>t`J6g<L_|jjWiFz8U84Yd?IjJ6h&PY#LeRP?mseahZS#O`#e!rh&wd|a%)~fif zW4Go;ZY_QqT3Pp`!e!ExJt@NcvO4#lp2*%F+J9wBQC#4*+j%^1)pg_NuZ+#T*|V*z zvG!?6*Y{1&pMMRBUljdqw&SfEr6Kv}GJbUI=-Drx@MxLO)ej$fckoN~iB(N?*3mY$ zT9Y5U=wV*9_y3xEyUSK@<u%-(+hM%6<I#)XvCqBQT{`(@Em`iZ{vmnUZ}sbE>IKWr zgk6rj|NV2<JB3Z(^p{SqDeQUiQ#94KYwD6~#~ll@H+$FY>_{otQu1~A*=+W?`#<FC zFIGM;6JZfubN)5Q{N(Ju(=Sgm-I?(Ckx}*cqXMrLD%QQIK4ZkP|1d+tdp9Q`#xpIG z1kOwlc)CIMx%S2#_91Gj=1Yz#B%hu-QSNkx9q)lZH?LH<=<uj+Reiqh<|CnZ(mt2p z_^mj1&ZoTXYR9y%P2Urx+Bo!&y1)9jjmP0=<(_YT&W1|seT3fK?tGxY#y4~S%`29H zCm--f&RCLn<7dWh!JtrQrPo{a1=>EJ)jUxbc23Gf`_AsF&pY-cUt9Lb@7j!>s&_7G zR}<B2Z(d_pc2b*Ow4z%4p2hE3SI-sr|4K;t$YK#$$fL!kdC^}-@m*Wi;U+2ej=Dn) z!F6lrtlpGzut@3M)4NZW^T*8*yT5R@?r~GCH<L`+Y>%C|dqsA^kHr~x%jaFUy{=~T zg^zbi-kW3d7zDQQF52U<qLbtN#%WEh57zZA;JcG=yL;k?H_M`)&)>U@uZnG2o33=a z*fzB|hb__U*Lhb&)c#cbfBwzYt*2+}Ub;2i<dL(E`nkFHE?e+EX4#$HJ6opj&k@z5 z2LvWEi>HNd+n&Arq5YicezpcFRSnnf{7rl{vEhgLx~4a4_!TnlEV4PFc-eH<lR4Gj z)FrImKRr6lNziw}^sD<%<`{0iFK_(9baSlXw9D43|203lc(!PHzN6~ul4BQIv=o^S zuKaEGsb+?ws*zE-+|-vm`idJ9F5Gf<$zHpD#;47jzTT8JGk&{o*X@+Zhg{<3ea`a^ zA9mlVdh~PKj)kf9m+$Q0mHNs!CsK)H?VdIE>t0`J=P>?wZcAmz$2p-lY*ydi>N#oF z{roHELIUQ<s2u$BcdM1sgq9$KJr5_IPSr>aOHMg1-mUn+@(tUB%x89LKPAMc-LFcF zpZ7LuW&5c`&z|rvTafT7dYiAK&J&w8K3ZmP*g~Iu3D)xtpUwBYc&2;8j_16t&M&UT zR9Qcc50u*!;g{$xQak0g!_$_|!j$ikIVWtowngc8{fx=ltv~%+k&AtG$0wICx0MDJ zXI5MMzS3;4kg;`XN$-xw@9h&0{{5*uvEcB7dDk}uN3ymTJc)?#Rx%3wVE6phe~%M7 zx*2m0$sGK$*vPb5b=x}Y^&jqJ&#)K!dy{1ycZY$!@Tp+N-5UE$dbEH2zE$MCcjYzP zEBa+3uNKE`F=7+9kMFAtR$Q8CdwkOOo1$gzs;#Fpe`*x0_ldXG{JsCt`@6X>pPRHU zC{H>WF*DhII;%Cyv=b3$?r!Y3Sd(<UwDLoe?5kTX`Yx?CZksnS@rfqN`A@ezwAkZH zqeoD3H}l6(mC!HEpB|cKR3*HAEy-Oau=3c2^Z<p&tXrSV{ctMu<;?dEA2!;ginO(; zI{#95^8WpEPO&qc*6K?2HGR%5B9i9=x-I&5>m^_9-q|7e+ESVMB>(km#a*?bUKV?G z|M%WYYTR(4Z}<L_B?rAZ7Tnl&>A?vPgMGjCeH%kgpStty)0|@A-h8g;AJ!Y{yI)y4 zU$$>C`(0LXpM%4&Y|*t$MGwQ-`<ibb+_K14=-iLOuCkJ785jP?W;#=O0+wE2*m&K@ zS%PQf#}yBzUodUBAI!Wsa?YOc&vJr0JFoF9v+m#PI(_2CZFb&`5BlSdrgrIbY={=C zw@qKR;7#DO^94e&7n_=R&E6?I*nURLN4Ju<qJPm{SCw^_?Ue6??Q;;dV6sg46E`VG z#G`*NccqqR<fiHk+<TOkO#ATZb=bxKd*&{DUn`a3W0oRUaik=mPKHf%Ki~OH2PIV` zgHpSvWHO(fo0@upvtWOAfa{h!E4I~TC|vQW6jJ(sr@69hsrRO&w=1u$esH8@zs;ZX zZ&dtuUF7RvlJj;95RGczzUunE1Ix8q+9PWv-^{tg$Ugb*+6kiKZz3j~o7sOyTlDZv z<w+73TrW+R((16dKGA+h{2BS=t6X=ww+qVzms$V3q?Wy&xo!U=CboNF);;?i9_R{J z9W6^@X>$o+WPKVqiAR{jiOu$L^yOAD#Zc2l+ZQrO`Sx#l;js4o+~k)*9ACbye*7Yd zE7yMNt{t86D^s4?^1M&ko^Z-%#)9c02Y<_RS^F*4c@|JuBKd>&hQtBQ`e(a;&EL2B z)ODG6cINZkW-G`w7(H9oCwAuK?rYY$^Iy&1kf$^+WY)Wre5UM6oD}CA_TBj4fcXpK zAImNmEDU+I?j>8Q?~T|<O^rgq&2DPH{j@*(X)5%;JGaT`&HeR>p*oC@UUx1Q5Dm92 zaZbLozgA1OgZ<OOr-IivaTjgB#T;>}`N7&_q4~Zm-fCWV^7+qK)3I%zVi)JsZ_j@1 zWXR8ap>J+(uWiTck)FS6;nMi3jQR!^2Gd<@yN|7(|9pMS<yO6<lR2NK8ZXLR(E5;d z&n$ZrX|<frL)+|K=SMFMJAP(5Yeh%pMZxT#j0+iEUM^|wXQ#FP<*R+o^CLRn*y?EX zwNtNkru<mXapcO^>0t@`S*A%g1wJs(typm*@Yn^(Sl%Z~wiir0mV4PEhU4qPnp1u6 z*ykTmw|d%h?~KXWiJYO{f9D<9m*4Sc-}jX0rbapSmhb9GPnRxzuJ~eJYiXtYF7BrL zS8~!K%epz9Z}D2WY;V2l`Gi@=zRrHKvSG!=Xu)KY7W-vo+JRHjH!I|?OMG4bNbt;0 z4&5ddk9ltl6n?7;-Zz~hFPQM$UBxBfjOf+pR(w+GX@}=+kZUlTEx|CC<J+nJm@}uo zJGMnvZI<8T8hUus<f=QDK5+Czu^e`cSdiYnwM(l^_t_H#PRnE8zAcPoFrK|6YHP;D z+v_G@zWTtT`QF^)i&B{GFzq*tlWwdx)>s|$mp6^)+PQ^V%QsK@)ip&j$(&C_WKtMY zsB3{u&oZz5KNru84>o%?zd!hXBJ-2Qm!<^H&HqvM=ddmRXBEMyRkeq-`FGgvyYG3Y zv5NCcJy%Fe!tdRje>cwEdYRSy`^&cvC*Md}QXV+*c;bwl*Ao)#baQsrsU2Eh5dUW8 zip}vC@9X(Ko33qka}Dpt=Ef)C7RyW)-dSR6*}9!WP$+TYVir~p?imK#Pe01xh&>fH z@zNKsEzVhb4EJxpTWNnm@0ixzfB7++=FUtr)}J9MzD=%IhIu<jPk%`1!BtDPB%FW2 za%#`zdL?O5nU+PBZfE-h^OyecJSd>wwZqi%*{Ac`y*-bL_H1tyHAvF^oX#SfDz-Mc zlWhiLVBgEfn|l+w+OIO)?EH9EiRX#@5!o8;f6LWB`@dTH=3&X#$Q37R{STkGaIs_k z>C%@=&2ChuvRD2-7yPSI;}zqPMHL@@zqoI6?#1~lwR@*H`F#m?^X1**F5<J}>HH^` zH0JfjE|*P@JRP+x%<QJ$E{VL#8D6WN-v0D6D=S67_x#o3DZgSZtm{3exhnE2cP@Ra zdU|C*?pCwFq`Zmd@qcHTByL?NdF18g+5S^~QrAzNxZCqjneOMybDXPl=X)IOO55_f zZrRiPDJLRc<z2fQ{x>Hq{^UxdJ5ib^Vh+s+OPZtF=%;le=<AMP(fliSb*>stdz#p| zAu?~)=GlyAHr;&dTfC@okxR2nr`k#(ULylOPaz%_@A;OV%L6XNlp0TCwd6LOnwYxm z>dnws>1$gTB`O_U=6w1@Wo1Q$d)GltuDE#l@8`4cnJXzVJ-s{iz#jFxpBt|HVE*#M z*`V^etmbw*c9X<({mRbG3|BV`sAub3T(Cd!gOFin=4!tFbd&H64@E@7>{i_j@BJeA zc0#|x-4oC6?-rH+qulyJYpPG0clX-P&cA-I!`^N?zO$yUZe5Grhv>F0=B@u^-dhUh z<UP2gXvU#i`F-t$tT(wGrUA`@w?r>Y<`NRrzNGW>YuQ5s|0O&38o9p@U-@TIh`(hm z>q?8{UGEQlW^Oo=#`s#Xk0Eu!rma7Aaa+zcu@U}%Jatl^nMmFSQ|)6ptKzaOoqh_d zu;!LL2xiR_=lodMwqr?x!vfDk0@rij*WCH;Gc76W?>qN-8;bwzS|Y>IRV>-OOa9R5 z3mF##_t|@dTb??Zd}y{`0@J_cC*5SHt@ib7E|GQowCRN9lm0TrnTeB&W0zl@m=*TT znmg^LnD6b|SEb)gQW9TNk!~l}&^*IfhuwKiU%^gW=RM_r74P2>`D`cgxa8ON<^GJ< zazrM-UYXCpqtNi=#PdkWYuDFIV@y2%`OoJ}=Kq_gF-<?R_RP(q`;2ip;rAspcU7Nl zUC)^!=)dY&y^@UaR{x)qR?JuDH(2H&TJN76XtQf+-f6+7rGK9lpHcICkoDl$TJekX zV-Fs5XX7_B4Rf-s_erpSBjLg?yhv@4Y6IV;MYEG%JbSS`gY}Qd&BbLx4jczWG+sSz z{!`HK!_}R)YIpgj{s|mLvdhH|8s-08v`*OMX8Z-y?`koc>HV40f8{Rwd{UJ0QTYW; zvuxczyJyaksoc2CD5d0&%i6ui3yzp~y}JE&ds;TjsqJU4g#O^kXB7M>c<n*oO^z9t zR%}=7y0%yC9oqt<Wsi!kZvJgL`L4_g<t<b0RHWNa2-tL5QmC0-eRc9C#+j{(qU$)O zBu$ubJ-e;3s(O>i;$#h`7vcX8)i4*U=0AEYx&5KmE$+4U6&zOQGPEYo{I&S1S;^Xu zRw0>QqCbwb7%acEyKvW=pu6o;lw{sBy)l{F$YAMh&@Ii%KYjA2>PBaWh~^6x0?f7# zuCs(Zlv1f${mAUuvRj${E2n;t=X|xh##yMe(xg1wY$mhG*Pu6IHOo}$o=ffC@!j9( zi0@{<)2AZWv&w%_*%G_!W5dCfug`zx^J{FK|4F;)`Mx<mXMQZXH7`_tuY10GYsKWb zlOi^H)*e%s_@PD8Kv!Si;$?wR{;j!FH+<i&{?4D{u<w1Bheh5`cE#{9ZO^`vt@HZq zDkWy-nHx@feqI*J!_#$h)^|N_F|PFod)2ix*H`N=UVAWodFlN3ce46-%~dw>%T+M< zsB=i`nLCYR)$dnR@7-R;lbU{d`pwYi-z~0w5treb_g}@;i?4^D&Ea4{zfg|If36UR zj@~=DiBh>a^DR^#8P2+R{HxI~t{uO2rZqSw&0l2B6JEmS7N8t-LwN6}bWx{mdmis@ zzTwBow14-T{10=b6f;&&(?22~zcKRnz9zQK?PuEy=CI43jpNxUyI8;F5(`H!gXdhw zCzEP<4=1bfmB{p#EM^b>WiegcOeP~BT0Uis@!p8Nzt+hza-KTeG_`fd1!dJ0Pp%xk zA8_l<6f1^z3A6Ve7W&e*ob&U|8z#G(c$VJ3eV!%OJ2gXn!s{b**SYyAN%imGlDvAo zsr!jFhpzbChJ9-Jk*n7vZx4z;d8IV8`s?<%DYp*3nkE^XnDY37<okcAJoEg^=W?Cp znkK2H!QZCz_}5+eL(f<GPQS9R%XR&o%vCPOAKsSXpX79&&n8P^KSTEFPn9>O9<%cL z%6k1}XHa+3j0GoSj!1d%8SSbuoi_7~d#B{vmx&o2aUVB6?_r*oo|aqx%*8!z_aTv@ zN2QB|S7q(*`7n<?VAtnX--O~|2F>qjDRVZtrF3)&c$>Ur$Yx=Zl6z3HC3>m3?~&WD z-&rpaJzS%EFCmfD;O?{aUW_)H^PCQ{=48I_Q(`D9D-*6$xbyV<rSFf`jx7H9qq#Ic zoM#zZtiU#T8JXxGy$o?@Ue6ElGrrl@SJiT90iV`S>-~(gRd?)oyx->0l=F3;Cj}W6 zZqxt9c)iB2#Cmb4ce_f(PPr{SmS25mhEC7;k>h^n2FKFLix?k<eN5^tuQrG`ycinW zvOy`LV`l9m%Q%_%-v>08Rb6P2{#sF3c7N;NxiA0weSUZU*Ec>zVQtm&?Vk>@)lOD( zTWvW%wdr$Ov5HpR<~z(O(SF~SvHx3|s`}+cz;BzWr&VID_!e+ESgtDE#If9_@Zj}l zX|k8MFsm($T0iI4oO+un?ti3OR1}ngJ_juQd%oSq>&MMK)~2o|nR^2abQ}_v*h^ga zw#}i#{4&F?*5dYtR_pzpXUiS(4{rN(?vtc)DWCoB2an&%y}I|gU1RFHOMd1jHrAf} zr{TzTm|?y<(-sX5seLbXW*b-5Z^_+%^YB$ONr9-ew}R5u)edQe%)i!0=w!qm`t{s1 z{r%flf415lGXIdX;_hqVqHq1b<X*@sva$AeJ;+x4Z4lYLV(!dKTRQHG>P<?Vo0l*5 z<Z!jubG?|g**mk9KQq=me9iUHG%`SD>a#mr<R097X?MhB?zjK1JB-XvXYS`p-+TVS z-mIz1`7%916B6&7-O$gp`r3hCfm>KNaX-7PQ2T=I;MGMeRT_TYGNGM(>uxJ{RkFX@ z!ldxZ_TRFw7iJ<-JiGR;jGHFQwe|pKSYsvkX1{N%F5CP+aV9Y<Zkoe+FYf7!*T(Lc zz4XNLMJff#+TV;9xd@kTo@S>zw`=~o<K{hYKbMMzNV?@4FSWZa;r(Ijt?bCiL(Z|@ za&^tIUqZr8pK;%H^6kC3&1Y|?{Fp8{(Y&v2Pt|*yHR+C-oI3MalKcJ~7b}`{ptMaV z_Ua`qk<Q8+cjkG^eYqvo!WVRTS&UEZ^SZ3Ipu=(tW{1dDoo>?eTzUMIN%Y2=##5~l zY7^ouyqhz7vabB*DqiNZ)vI=O@yiH<^#|7E&vZKQPs!BIG32Pym(ymISGNRDjaYMK z&S`G1OfA=)rzf@)x6~~=)Boa$VEe4In&-4Xzt-LSX4~6l$#rT*_e|1aGI_S=);v2{ z<~&>R>fO-An@;73Mdf-<SDbP_(kn4YbEb-qaYw^7Wtp=|%mH0(jRKNKoQgauE5*1^ zR95oqD?WV^W_s2u`}cntw^<wO)Nj}PnZA_g%hA&J_v6&q^z_Z`M55y*ynB-LZu<nT zI&=K9a!TlOcd=C$qI0fTPVv5dYd5Q$rKP#VvURR6H_Z+_!0)Fn;S{?69gBLyv+Rk} zJ?l+Nr58QoerLS=ug3qwG9@P#O{u6{9Kq>xzfsrfhOWTV9MOD^Ig6bBuY2)a)-^Sq z@$SBjxd%4iQdsd@!O&^-wQ8x_+Dc`iAivm?ED6=&N-rkV^(<L(<-?wwt^1u)oqgkF zyk#ro>dn*E2wYQIdiRw<pn>iW{|nFOi##leTcX%ee#@~|?zxT0>WWWh3-)aI%q`n9 zIjZ^8pG$nJJz7tuD9ahCyqd$bG$B%q`!<8*mWwl0znNb;$tb(f$TRc72d>vCAL6FC zOy^(lRI}m1CjO&5JKv~m*HM0w!m`cX(TID-Nx996nI-ES-!EJ-Q}xOwr5>i=0z92O z&AHnO*5p+4@JX<K-N3?gSd^#Le&K^+xzM=H%Pn&)W;O_)X??j@^MR-^$D~7nw{9Jf zy!CqG#Ow*DR-`na_7RqFypYIxIm=RtO~^FoOhe-YoksajAOEuaxP0N-&qmSAJ`Xp` zR>cX@&m8)iOT-mVm};a57%*MhwsHCFbCR6lH}n=OJ`;2}srCH9<8#qxHaD2)H(9fJ z*qNNzu*qvmV&n|1Gb$Nw8#YYecIk$oVe_q&=2w!MIgGj!x>qZ+TD@4%=2>_nNW!6} zSy{zMQ##w_iJ`?q$uc3MH)mRz8RsPE&%gEQ!<1zL8gF*mJ#O@Gl5CV+)8Q92?S}E2 zGtb4swx8qRJSN!bqrBjRqhoa>Z_l^+Ix^dCY!Z&;oHl>^h7yrqoF$j)?d;9jKR;r! z4+~lG@$2WNiJ5_4|6e)R(=l;YDChcI*{Ky<>&+(p6ga-}LbkI^y}4JfZ|I8rCyj=0 z+Vf&c&w7_GpY)>n-{UWDLfxxB9a4##V{217f2Pp9>-Eb7FCX5n(SECDDGR&BgX=Td zH`Scj`zA=WA*ylCvn%r2JpV4{E3pcM9=P}HqJR#Qy4$u6`7JtWW-DEJUu&LvX8xy1 z<Ck%mTp64Cn!;~Qb5{kV^}3}ivd#MC{I}~se3gi8jNO@!ej(pJ@vMpX8rQM)?zVT= z5A2`1LGRY`j0DC{ORl_XyH^u=P4Xab+NE{=rr+;R=(L(47;?1o*sNPG-gV?|-Y@xm z-S+KU82%g)<w}^^;bFkDr_jrh&EiaEa{rdHKZOUHyWh>(vSz*Azx6E~XT1#Mu9rwj z*B+jz_>}9%nul{|O;oz&vGvcU86Q<+cJ1f7-Fmd_T0(Px>?f<KQIYW+oaPR4iz3?8 ze_bmM{gA|1S!Hs}q`Y3+N$jQg7TbiW@4~+?*YbbqpS$B<%IuQ0A9m&XeERswc!Af~ z{UTn)FXi*@RGl=KaI4hvUGN*lm4YwXrg%rmPhygP8~@;(_S_{xItm9Dn67VLe*F8K zSy5HjDpvNdXzhqSyg9n-!mFUBocQ<hKkPpG-d+E~{gF<q=Qp;}A1R9_$!y>E%d*Ev zkwx^JW0UcswdXcA<gW`j`aS;QM)rC7^8})1%>KpfmntI9aa!^GZY3es)u*@o=AWH0 zo#n3JvLB*TZhkngJ@e{DzEdgImfMx)9Zyr8b$e2{@YednE8lfn$fhp;IANOpjmGWU zMf8(enr8gw$zWV5$n!(Qbh+ER-4maG<|y}SzwV)PX<@KrMXn(KGU0;I8*)omi7D7b za=T~kQr$AI;N7R)rti-;cHd)ur1te=p!ffI@j^;o+wwI&KA-rgw7BJdh;DSe_QmFI z_rCXgBrJFI9gJ`Nqo#1J!0(+y>A_RkZzp}&yd%aq!tT#$!`s<SCP(Z$T3lZ1JdwQE z^I-GQ>cq9rUbepaH9L)C=EdG^srIJfrGC5XP1!X?I9+55@+L2q$lLdG1G|Xvm7wec zt$c=0B-hmL7JVH)@j!-7n|{G|nOwE&H;=xbwqlLrIfEjVwJWx+ci8W%b)rG><DciI zx4zE2pW@p2?!Itbn&)Nqd8e$T-mRMLlVY&OY{#j(KcUsJDo^wd>T=l@se}nj8?-i< zZH>)6aH=@aS^3a&<wbX{%ueO`VEOT}hF)ye_1hn~cq&tvHwTqWFP*n?K}F=dN#|of zK8?!RopfB=eZiZjA!qw9?Da}Jxg%ZT+u<|&#W!fCes;_ee39Inm8BqY<>7N1FN3<* zeD{A@^tXMR`f10+623W$m){86=HcrRVl{u~Ox@*rW$BAN&&}JjR%q&%Ti*@rJJ)1f z+RS+KxpJFbW5eA0m0E8n_wM~ErmHi}+xvo=oVUi^uctrN9jQpEbN+JAOn;KB<M&T1 z|9@J0-{+e6oNkfZbF*S6%wgZ^bl2|0jCI=>#6Qg!UwAR!>{rxG$J)eKE|06`v(4RW zzHXPs8HT){EgqbCR@x!T2L)bzG+1MIOo;8dXPDR07rlRi)D@VW9l{TmsJ9n%M{UY~ z&T}N9dEVhRCG%Cqx80fFTF+lm{dTj1+uAp}`#czz1{Y6vj@+)NDWCSR<~h@yC-bk{ zgxuTb`R3R`;fKr<jpy5z+~)i|Yp&bs%Xzzfq9eqo9C-iq;Y#67sdvh6R<jy3ez*N< zD|>P3(Z28vNnJ_J%QgsJ%2+=&L;4C&i{|QTzAjGo#x3sx+tuE*f4aX>xya4<HtXeF z)90nL3U<6{Z(}!(DOmX8mTti>FTePDSJ!XiN2hJMxT2c-R!-le-dAVO>%5*Sa@0`o zmIcdtzU9B){ti!QTz7ekjADsEpH8~AwB-GhE9Xb8d9*vYK<mhE*$-aR!?jnhcKe}h z6S?NTUFCa6r|YI{nkViwXI=Pl<ovl?+b4N!|K{VC@kjK!W~YmRxV{Rz%jVrBUT*3E z?+ZB`_kK@WeoTLT+?U<kuWPN-<Gp)I!F!v2d*m<Q7s+a;Pu==ev~%LZS2l}0>gQfx z-0)5K`Bjd4KOVOzMZRU*aLK=Dx{}y(j{kh8!!KOe6j00)$$LxS*!RPmukln`R()@t zHScrzgxgy!K78qLkKU9P?$sb(%oX-reyzg3B%kar0`=!Zru%K}O5naNzB+aT!&~p@ mZ9Qz2^RB6Ci>ltuV9ZjRvr)Y)^#9R26a7R~Y#6QoHUI$gDIqWb literal 7586 zcmZ>Y%CIzaj8qGb>~G+YVc?Oh|4#@!5SRP0!mDd~d4_j-{(3eBd67`onjcjnjCp7L zr>)j^x83+g?D)3g^xak8qf4#^Ej@GU?Fz3TmJ4p0%Pt5zOB%5p>k+ETGD=)>IV<Is z`?5x3jVeQ5qa+Dojx=A!l?#`zTx@F7*<{aY%QkD~qKpf(Y(%QuE=W~z<+yw`;1A+i zYSJ@nhVmt4|KKY}j!n3%=6~hNrz&Na3zwy4n$1d4{xq-A<W!}pt-r6KzuL0P!AH`T zIn4HDIkxOdrL?e0s;#8Sm9J)<6PNjzC>)zLTjbVEsY(;~i5v@h1Q+^e<#JBGlr{e) z&!oC#mo>gzX}h&JD?jARMf;FX^B4LDUsg7CQ@&C+CG*#;Syl5_@m#SLcAL?!`D<4D zLiUx*mn~nme5<dN$(PGnGmWZz+?t(FRr;9Ps$Hp?Wov5dANbTn(4R$M<zuguqtaI{ zPWfu<@4|NFvVZWEDpNBJHpPVtF1s&bxcJIefNd5p<0})MUa8FGQ`lyiNHXv;$Sr)u zAGp|At=a#gTEE9v21X@M1-F$Cmd(3r>rf@RinlBCO<>c!%fZ2^HnV+w-LCMy>JL6D zxBTU*N`H~BJTu(pEnjHxW#O-7?N8;ps#0y$w=6qq6MSLb$t5REOuq78nZL4SmaY5B zmrHKUG?iafw{m&sD}_lNlLbv?3tXA)JE7%su+PbtrvAzqOt${PS2As88LB_&abLFL zgQ6{4rdh9Y((GWTG@n@pS?;g0D&>|hTfQmN<Wg2<uYu+-&6ksfg|l*+j8biUO>%>l zSKQAz&g<fwC*vaUd81GupXL%bsl1%d9Xq?WM_zkWqkLFLFYuJ9N_R6$jHJ?yZ<6zE zULRp#|D5o*`I&;(gCp${ylhH`9`V}!cKvTIdH3-YzWc_zdS>P_-+rq;S#!b?XYb!u z(hpgZBXd<Ggk0C(UaR4*x0)&a-o{TKgLytjDJcnONmw-Y$rx_C$m7SMc=*vHgYaL4 zA9&Oy-Z(9?`O-J5HgC7a>BP&GQ;vx;KF_>-@w4&`(={2#wyx1&`8I=7seOeaoBrbY zD)T3}>7IOM#3GbXQx`YOF@EolhH8^8mcX4)rt_*Lo7}Bb+5LVg_vFJZwf8ovO0|ct zY7O`u)tdXlvbAYR-!G-j{+yCimhX5nY1i+M*$*A>z2Mmwa`4<K;f}dSy%m<kY^*<d z?a;S{1~xo;hyNbz=56Y2o$uzga@CWIN9QyzlV#`q^+u+=aMH8gw>!J@4(VOvKP2$# zy06@qho|G$IPAOU?|L}sP?5=g3+|iz?~nfZ$b9rH)1qtEJIZ@z?y6pSg4tPtIdaL{ zQWn+Qmjo2vzWgya<Y3CYqi-kqD%)M0_O@CyLFGlWPgRJhc=ksDeu-Mfg`Oskf#%-j zXYLnwzF5oHsc(|0yke_U!_rNPs!w`FXUdnWY}vwPGja8$V?UoIq%-8qfBh|F(yokW zze-jwo2hbi>V}CwcNXYzlwPRpoAjXfnqc<&&FtH*x-EC<2#+f&=t;OHcsp_TPWI=n zmzJp{K5@v_h|a&<&wYAZr`Umrd(q2<|F!iLYj*o`OrI!Q*QChu@QDAEbl%{#yFQi{ zpSbf}h{LwL%tU<O^wY=B7Hw`X@YKI(aqs=JmddppLA>S?5qXOKAAfKiC~*_``93yC zz$W^B?>+AIOtlTy-}Hp>^1YoYIJfh{CgE250|z>8X{+&b&i$s;bz-r(n(w#3;E9|e z6@Q=QDttNnlz*=l_u^+;)<zur==#(^=8ovA$6vgK(w65jdI;`06tBH;+X9ir+w3OF zn7m30`17&DyLXGQndTwk#q(0Polo0)_r>S;7ONTb1Vk3@aNT~kH<#l^<`&n&?=3Hm z*xa^k^6yRM+{Kh_v-W0=*5j1y?dGelzUFVAzJ0=F_tI~7atzKX9WI{w<HPb@u5nE6 zDW1ZOw=T0Uwo%@<kpJ@JTa6Kiw(eA9n)~PV%k<;7q8!v1@^4*oXk2-|%dl(l!-;!O zgl_0&fBxuO%DeS4o{RrU<xDDNO!oKn_{X*P4v&P#-{-oCTl#DG=V@0t&S(BKZ?Wv+ zWqe0f-%6jH=Br}%??%|V8-1_!bZ5>jd23(x-#}=Va({fe%XQX<V|vSvun9igz!{nG zhNZ0e(2N4!_{(>Mgq4iel=j}=dN?gc^~@^k`mG8}xp`g`+N>ApJu4xo(OrH=_Kg`& z_U1}n{x3<N-d_8ARjuRu-B3BhilsJZ0~1!b-Q;$eq$f4CNb;}!<o>${B_7KrakqB0 z@`@ZR-rYA>?;K;d+?xK0PqJRfE<1Mdz0tEHYc;oj(tJJVb?XYz{RSnc9`mfNRuyf| z(ks(3m2BS`I+-oSX{*A&jjaYcOkeM2=KkZ!47~5b*7atZK||g}-gzEhwJs`LSbt;f zJkMwEHfT>>TRv^i(;QckFRNGa`5#a?F7SYrsaVB+KCi$9C#Rk#wF}-P{Y>!QJNt@) zzt+?1f@kN7{G9p5vb=MV&4TH7wn!eA=4R*mrO|Q7)wriap@gHbK{8O}eo0g3Q~w6} z$y54oEtgJNoqj5^zwParl(?Y9@%o1!&R%t@+VbJPlNOU^cb}MOe(LAP!jkrDH?QXe z3VTHye*Q6Z@k0j%Q-h8b0`|5R%G)yh)0Dj%ynIA;8YF&Sm>!ncXtUtpcgLS1Z~r|o z3UXw6;=EpA`_JzyYr3=^F>ectys)+6uEyURx>KKD)bN^ninGP_WuIYKTHuWa<^RY1 zrmwWHZQam4OSb7y_bLH%#`J|v{P$Z{n{8j3HO-~ozsE^2=OM$d?~i$3u%*wPQ!=?- z$YSg5y(xEAI=_$TF#Nhv{lz-FyGMoB+d2Gg+xtIpm4HRU!-CCf0(W(isy;@_9$Z`U zX3N?+p?j_~*|mT8HTTpq-TXT@blw))ifg;o=$HiD77<=t@mTM&#B1>dAH(KF-n3Y4 zxj55J+fwFLi-k-@`md_)@B6%0FMK_7$M*%rGb@jnl-KiiDa>bn<Tb@e@6)@(NBB(2 zM6Tcbx8QiHU*ake=F3kVUCqQFx6S%KLo)M~@zGg@tcRT=BCQqfYOZ2iQfMG*P+B(K zu`D3}=KIItE0s4|ePpY+JWKBKg->5S_ue<T9cCcC_TF=eSj(n_3_eCdMG>J^kE2W2 zu2ro$GFip2Qd@w3J6lxe_i}?{4HpuGX1<Q=x^>!wtuOWbw6hsnzrUp$ujzK&Xtg8X zIl%Ow(t+9Qo-juwi#N?U{=l4fN!XTEeavlZPEIL$7~!_|xuGhn%ET?svn3B*oysk8 ztYi8dhpuj&W3?<xXSG>&<T1}wGn*u_bmeU>M<Zi18|5%zBhg*nXKpucnBb!9@z{pV zGT<o#PZLXmKC_@myQo3qt7SK)MIPB`xr*($o9?NJ+R@x6txtHW&GZy8WR7<-va<S8 zwpO_%RB)4d-u`$6W0sA9Cr(N*mug&dpOeVjwdLr_Pj5cQ>lhU7<}TalDa*2y<3#a; z9mY>z2wgH+e>^gsdogo}wHk{>w6IgyBo(HQ%8PW*21R#UDVz|uUhKTibwg0!fmvZ3 z>*u|Ex<!-6K=Y^Rh2GY+wa*=Uaz0(R&YdY&*u?8lvWVkIoV=YuWWqnGsDRv^cV{j8 zwP@Yq8O%RtuCQIF@yV%~A-~QrDwap>@V=SX+YY<91)1;iF_-S0yf{tSefQkGi@xo> zuv6=h&&FF(f)8U^Szm44m3!%mxxKy22Eo6ktsiebUf<lim+wv>>%)`|fk|y*RRw)v zj8hgbPxW6sDK_-ozR!x2=LNqupDVUB?L&3lw1r72d3$X63pSj-USR3%vD{c?p7>P% z#+QXfJLg}1c*u&~zea|4*IrTk?Z1{RYBTIPcIAU$_^gF#+0XyK<2=oA_&)D*^%<Sf zyj79=Vm_}+&|9!ODr@ck3$uL|3r*AM(Pvs@()cXg?AMIQeP;w}O()LGOTU!T^C(Z> zJ96W*lc%3X$C_<qTpL_-LB??PEphwJv+mSO?)VmeGr?oKn4qeVh_3ZhrK00IBKFK+ ztvc6yJ&IR8p{Uuc-NNGgg{5q=x73nu{5c?|b^G<x+z<VAcBy4bvw44>$(u4U<b1r* zj<234c}uKQjy>^N|EuWURtL7?R}*!v@a|Dm3^F|<?!)z(C2*Fj&2znYj>(0aA}iSM zZ9J#rD*bo%d#Co6=}pTg^V`SkuD>x+c3q><b#12^)g}Q)-}h=o%8L14d=;)7Qgt;s z^Qq!RO%}sc)0>t}Hv8n7&+mNRyGO;^Z{^xz+39H>%#nh7CN1A@c{Na0gyoV^aMZ_J zNo@;O1)dVMx|6zinyguE>LQ2Nt#5a1@cR<xw~4KFTApdTqSn45<%6PczPwqp^i*Wc z%fl0I`YMM`U1hN9^qQ*aIulwK1YCIf=}WCrynxGkWucF0Zc?juO}czQvN`g^t{q;U zGklNs&b0W~ersD~RFvoj)jqF-AC5Dd9zMICt+V(11d+^T`7i%j>le0j9KG$c`8B5^ zqtDl`OU??1X{w&C_dci@J9DRpxs+9B*zI@4`!D&X&(&KtD`aKR3hj#1+wQ;Fa_{@& zkavCufAyL?f4#~-(x&O>qJ_fy4&6?kuxQ4`dnT2h$8Kw?x*e}C_$VIpShrN{nO@yK zSNr6XiT#Qz+Pf!C{IgraHux}qzQFo3WsMI{6#uHYcH_#V(&WIPySk4H(na?k^1FE` zYUS2s;rd+{zKA}^SF{YsuQ;o(zUA?vJ%vTyPg>7jj?^#P_Wkpb7~4%>F8A|U8VF@5 zrM*xS$zXoG;pU9c1L}n{mT4_mC&lyhm%hu@ZsW(+g5Ry)?*F7V&uzkNbEEsSHi>Vq zR-cgasrL6TeebS-Jc(3)FOAL3cC+8jYB38;*kiEx_|FoD+=GjQauf^OFKwM^exD=e zXYaK~+#7F53!j)|dOAJTYQMW~_LG1hqYv*N3eS7`^h1hroLa`}ghwXT4iz6{77HAa z+u~&vlw{-c?B<IVJNqosBesWJnXK1+FvL#v%vE3M%gyh64jP48uQ<L;*LL9o;|0EX zf28J3s!EPH{h3GMzeH&Nj@pF=S#rJxUnf|9lI%^K#LRzLD6TuOhVM|E)e)z!QjvQ< zwaBRHKDM0sXscdW%A9GA>pCxc>BLH0T*h8se;~tfH9LpQ|1};*F0asy439mvPncul ztAr1y-mkg2t7&25`fa`98xEXR+4@$~>2Z#Lh4lGF+Bq+Bj`f7<s4gj8@I`0NFW#sP zx-;+Y<1<<=Y_QX1g`Lic&1v3!I~i5Py0@{jw3xPb@Nc&Zo)rDgM|HIi_w05qAB)b` zqm6Gk8J9|kIEO!r+9<c0Im`5ciLUV9lU-KJFQoK`ynM)VvRiGg<nseP1&6QuR_O<v z-Zm|Li`k6Gi4WpJZ71n(O?_DwAe400_x-JD`_4P6gl}G*crugwypQ&*mGkvPCR7}@ zSv<j^^j;&=hgpJGH|qSj^vI-Rwcbgl%~H{6YbEmUTQ2x?GvktZs@z7UO?gq7dgt@g zb*yI9#$UfahuwD77dz1&)!!2RpDyiF?3Ovx<~{$FcIVv-pLE<EJ8l{5wRz9Z`}-}Y zzu%V1MZD3667zOH=P5{xSZcQ?>xu9mui_aWWtCUhyQ~Xd{3A5=*TK{k0kR>ttCi=t z8Ob=e8GhLOAY0YBQl?X3&vNF8JjQbunE8L6^=9gP0sBgu{0SZk8}Ai}<_KPLJy4xA zLHkvC*vZEe&W5vym&g=2a9j)6BVfI~G`#Ga>!zy*&2Q+NDj(NB9l@0|MfS_}m_EMa zo{vgSq&!^n@rP)~)w@xyCPpoB7Q0q)N`5K06ft?<s!k2vuiiNxVz<}nFSblcd{8r~ zYXVbJmT(Z)g<Eel^tfhtHe@w_`fg>N72dH(=hQ_7wLGaGuZ2b0BKEI8(C|h5ut18= zFGCe;*^O%5+Y)c<M_kw3F|F&o%zo2V1xB-2R=D_w?7Moy*F@k(qRh*E4ZDv-^;D=` zyHK?@tKD_mo3sz-LnN8yW7q!ZJhWja*Id{3H=!Xmr|(Q`|K=<oKmFm8-hUG&ZLhfK zt-Gw2VW*5<$GVv*O^#WGu4+rX8Lzybc1B_@%Nox0?zi$Tr)Qu3wNy|3z_iayA-eB( z28#<#>~Lmztl^h4b=O;?bIgB|QuSg(rWAP|Su@99;Kx5>$5(%jiY<}K6Xw0|eQ5q= z*>yJ;E9-7?%Fcf)QdV<Q$mQO02CoI1lz8k_W<1t^CAh76%d`u7_^t%sJ5j^D=Xgo` zzrNFts&}52UZ8Y%?uPEOp1Nwz2Nq2%Tk%wI>E^W!s`ozUE@OMh{MXT7rPcl=UOls) zzAb2AK0bAUiT<3gUmw2x%EO<a>mzYsn&FxE^~+YN8#Y*Y{hqIK;$iSA&H|giJHGu| zxh3tSU_;zY#fEok7lRZxF@zZ&ia&Dda6*}u%kI*h?~`_2TvqHeLE1ul(#DMSTW`v? zW?9?nsusFRYgf-pmi%<*M4<k&j5S@6N2cfpx!u*@!+HC}=5rVJWthY&-M;Wtb8cyW zh6mTyD6SrFCEHi;vc-(k&i<O-XL+!4)@y-fEce%){H*nP=MLKkZ_b%Xs{2{0+~1WZ z9^RHeqrGUR#2k+aGp87HCH!V(zhbXBW8xFjh2EtX9y*+D{!-et#J6TbPucGE6_fe4 zf3NBjmX^QMA{Vwh+I`{1F!z721wT%g_UyRY-ch=XQ)$za^D?Z()AlWyqyMFe|Bbk2 zXGF&5HDMj6=O<)-yM5uwr1{gHyC)iX-&-;LL-nqYd=hz|ZCOmtK2=?J<jE?Lb*#SS z75R%Uq$+$2c2cyvpk($b_+N?iLycFy>q1+SR60HOpB9}Oo7}3s-HzMfi=Ml-?T;7B zcYnOJYqy)=HWnXe=j_cb9|OhAjT~HA*WZ|0_DDf+ouKt$0q62s)d_!J)(1V>==IP~ zJoJXM!dV?(D~^x$eiL3E;>fCFoF=d2az4L|QPFbWwL7Pbb4-rz^|0Rfs_IH&{_=ad zcfS@z%&nfGu(1D>&(kgm2C>AryD!$UFv@gZblUrMNAEA$$)663{+<-2X~)_By8qnQ zQm!4W0%9d|nSw9B^pN=+|I0)9;rBOzEd`nK+nZH<@{5;LI{snn=rfr<Lt|RDtfAI| zFa12T&(;WDVbE(>()i?q!-`#U%?4U?HnRnAWot`MyplfAZ1%%R(o4=R^$xU|A;sRj z+v3H?)f41zeGXn@>*(SfDQd{GzICQh>y*3R3SD;}ms`%+oGl>DaOh6$3U`C{q(iPZ z9L~kYS(+QKkuT$P*;+1BswZ~zh3ds4iJW~Vu6rsYHv7rtNb4k8N9)Uo&*ip0C$UNO zH_v_+vlYEOy!Tlr{ALZ-{@=de`t`xf{foUn?p^I~m6!8=e@Nhbi3+2Tg-y{m({B~+ z(b}*#i*@m~8r5l`>vmihS$j+MNXQG>2RU`0Cp28Hxpw*blM_K_mLFnD&OI#YVcL6i z*X^3zU0pAtVh!0o$_LH&aX97@v9i?3drt8B*OFa_%6_>;PmP+(EVp~bI%8I6+e_lU zS1y}cIsLXd;uq>F?zLqNPvkq65B#qt?}-1l<Ic%=hbZnNMt|R&UK*P?c~?~4^Rg3- z!bc}Yr9O#@eLX$VSLfcMU(f2#J}bN)A2d-%luwg$Dx;20gocT-X%zF8*-<;1>&zb8 zrSB<{nrQvmHOpr9&Bm71ui1XRJLXytZp@)%zhe#eXJzhraeiz52K(OQc$)PnZ$rYj zLrU+8H-uejiJYn%*r?&lc>QUzePx*6e`N>X9|zgzU2YJ5ljL_mJodrk@Sh)2<&`!G z?>BjSZie<Br77318JNatCf{j)xv5G@ip9;^p8FW5PK7S_>F&L!LYDozyd<r>Re!F} z+ZnGXy-{<X5^~q+rR6n7rwL1gA3Zer;~N`sVf~_q+YfcVzq~;}E;;ky$<N^-yGs-n zF)a<gev$ce-TGTiXOoR%Sj)c!)@&7<^XlZ6DMtUYK2$2jez(7%Fy+{a1{d$sr<bg6 zGf{St=<Vz|ePvPj``h=8zy3aOCG20P+w&qWjYW=XY5iW)_hg^e%H-Q5vb6qQGQ->a z&+AwJn!M!D*Le(Pf3C+DOWrEEX>6M5Imfb^Lw57oiig=unvG>wp3U%9uStHs(WN}l zTG_B$)FJjly7TN4e;=D}`lFMQ|L`)8=O<6UF7fqD=k}Vfa}!CpA9^nPPXF=GSzotb z&}H6xKH*&bA(>mfS=|Z_LW}!eR(gLqTsFb-cEOH4oLuWH7q9Yo*gDJhSMf!yyOH)) z@0YiQ>iiR0o^<w9^6{p}FEu<GrBCkjY5%+MYN!2TVeL=q_Nr=kbXhj<zk8?iRoI1o zDb?p~j56}?ohJMZ6%#3Yey7lM+otbQ7gEKhye?b0Jo5U}CH@IDX+BR@J_u?K@cjKK z#7akW;e<pTp{E{eI@V=42tRYU@jZT(>DC~|v!P0=TF!w>gI+EFv9Q!h>zU4{hZ<KN zlvH0f-1_=lDc`$YzrIx5IyYhE=>%!}?J3{68NZ1=a<_<(_MGCbV-WxPiqO;foe#3s zX-{`56?Na}Sby(;9?Rq-*_KSI&aa=F#>U5aWLF#9Up(3ATGI(Rrhq+(!QZk@?iJso zQQ2=@tflyBI%AZ!WVv_2?#Ku&Zs7%O%pu1N7rPX8d!O58;as!4%d_{LICok9_u#Fw zoSnX@?W^QJr^MjI7`x=)wU9~dh8vdr`83B_td}9GO>*6ohzD+eE<bVe`Py|bJgnVI zh3(tFtb{f5es)Li&fYW4_3oz&{7YW0vo++CTqOVWvYXyj+mc%<?;Ux|4-_wS4c=wq zFuQ$==f>wzb)PpsRc{c;KBVKmeDcI))@OTt1vpLx<R-@1o1VGdVX$5>YLj+x{u18V z+cNxDDp;Mnx^0iyyc1r%feHO5ex-OQc?-(@D0w<*EvLuh6ZzKc4i<)aS3^zq+>;X3 z-cvH~!%tUz&iM=EkDb~ak~c>&xR=GcdU<P1fsNyd?XO=KrmXawFEl-M|Bs~JwW{lX zz7+cEyP@*$@3V{>gzv68H_x|^r#QupW%Z0ChbOL4M@;`#@>IP%_~<ahRg-GtJ+^18 zFPw~hWcElUG*HsS&UB|o#ctiEXuB7W51)Q>I&I1#=a;Tk>%TtW_!ZurxrMXySgT1& zy~?Zpt#=zWmK^d3%+)Ii-}pvjVp#hGu|&DH>Zu!!blkc$Z|g2GtxF-{I~H4B=MkCr z;hou{^*_YF%<W))=~lT?+C#5qr+w!)>z&^vQ+%iXU^tM!Y^9e*U`65!?S&?y9cE@{ zKX<ikQa!`=_ImKaoLZZ=r<|8FZU1;uBYI9pp#GC9F+Zm+wEAZ-wQ=e~8;!O|u_eE} zl-?iK@h|C7@t+*wzwU<W_gMQGTg-o}&T|*r<#2w{JC<z0g*@L*vqu`fTRdaOmGozC zr|p#KyRNhSoQC5@&m$}K{R|IYyv+M0XW_zC)09+CEIKoFwciZ;%w7DJ{ayF3wfS(Y zxy*Y}$X?<8^#`Y?#F+X`wu=@@IV0Cvta2-*K;}$ZzITntvK1d*_&gJ^KCz&oiev4U zMUyXFx;A(3z2*~bd(U_^#Vwmsw3GYH;nQr&tXI>e)h})QQv9;+bK+^XfSh?tABSGn z>IrnWJay=WOb+MU+Y3IXG^;Ti&CxtLr|QtJ9WRdcFb2i*EG=$wIAz+LVer*xb<FRq z39Toagn19y-q~@g!K~r=y3o}MKJFi1&Ai{ocdR{hYj|M!<_A;OAG_mySIlR@T(wgZ zn0DuFePI{dv@d0=_fOR)U%exzBpr>5R`8w6uAXb3Fv;?cYlBtC<i01GYwP4KmtSYT zW`6Qk;YX{d!Y{Ag$TxS?)zfX<uh;RmdXLt=b1L)uyBcg~Ectk^)i|K)OT(|eG`qa- zZz2k9^aISo`A+Sta9w})d(cslMMCMq4|Y6#cw95*&BnRc!#^A4E~&OITC`3n<rCK= z!~J|5vzBjA;Oli-%JZqY?_$@LjXSUNXC7X8yK48nsxOrhNs=pPH1xD@;EqcC8`iz% zh=m5%l%Q%Y-u&0`&tG??WNrL0-(>##@GaAgpZjpD^SxhoIK@&cn71!CXnVHiak2S- zQ;w|Ce|<;nmFb(X2R}QqmtK3E623KbcVD_+!t1*nlO67TEROysB$=VRY~!hq1*)^= z@Jeld>3g@k{I=>=`8MOsn69;4P79isE;r6QvHpaP$mBVns+N_+vsyR?@vlo$Ucci% zkIAV&7AbanD&$@rzxVOQyxBIrO`ny!9O9pq=_|=E@6Oxl&*q<8Rknxg%gy*du_r|y LIyu=f*cJc)yl8zZ -- GitLab From 3cf5e82566b6aa4c5c574eb6448e6e8889da9cb1 Mon Sep 17 00:00:00 2001 From: Eduardo Junior <edujrrib@gmail.com> Date: Fri, 21 Oct 2016 23:34:39 -0200 Subject: [PATCH 16/30] =?UTF-8?q?Adiciona=20dado=20faltante=20=C3=A0=20s?= =?UTF-8?q?=C3=A9rie=20de=20imposto=20em=20bebidas?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- R/Bebidas.R | 11 ++++++----- data-raw/Bebida.txt | 1 + data/Bebida.rda | Bin 899 -> 899 bytes 3 files changed, 7 insertions(+), 5 deletions(-) diff --git a/R/Bebidas.R b/R/Bebidas.R index fbf39459..029685ac 100644 --- a/R/Bebidas.R +++ b/R/Bebidas.R @@ -1,12 +1,12 @@ #' @name Bebida #' @title Imposto em Bebidas #' @description Dados sobre a produção física industrial (PFI), de -#' alimentação e bebidas elaboradas, do Brasil. As observações -#' são mensais e referentes ao período de Janeiro de 1985 a Julho -#' de 2000. +#' alimentação e bebidas elaboradas, do Brasil. As observações são +#' mensais e referem-se ao período de Janeiro de 1985 a Julho de +#' 2000. #' -#' @format Uma série temporal (classe \code{ts}), com 186 observações -#' mensais, de janeiro de 1985 a julho de 2000. +#' @format Uma série temporal (classe \code{ts}), com 187 observações +#' mensais de Janeiro de 1985 a Julho de 2000. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries #' Temporais (2nd ed.). São Paulo, SP: Editora Egard @@ -31,4 +31,5 @@ #' # Gráfico da decomposição sazonal #' library(latticeExtra) #' xyplot(stl(Bebida, s.window = 12), col = "red3") +#' NULL diff --git a/data-raw/Bebida.txt b/data-raw/Bebida.txt index 8b998272..71cb1dce 100644 --- a/data-raw/Bebida.txt +++ b/data-raw/Bebida.txt @@ -1,4 +1,5 @@ x +56.92 49.67 49.63 53.84 diff --git a/data/Bebida.rda b/data/Bebida.rda index 5a6db66791492f79e1998797d05d2bfbab819db8..9c8b1d7c319846c4b26c723d5ef3092f8b13ac42 100644 GIT binary patch literal 899 zcmZ>Y%CIzaj8qGbynO7a7XxGY|NsBLzM1{2CQ7LG{{R2~x90y`7x1Bc-&~9Pv#$AF zt+H*t?7%d~$8cdprdGyRqg-beBen*%1_p)<#t94=CX5Rh7%p6pGGWMIb~q90`|>4Q z+vE$g8rUYgFPLd)%fQ)aa>77xnP3Cw#HIvBNrM?PW^i0=aFEJeHY>BmD8-0Jt*wWV zmxpt)GKW#-Vh1*k3r7r1PA*gCI55j3(S*rUNpP~7=ZksEW@RKXUu3wza6yvUSIUHe zfx(3B3Qxu?gI*Jps#zJ*!B;N6*zmnJ=-&F5p0U%rR<d|b4!9&=DD;Rqpn-9Jk~hQ5 zg_{bDl$vEXNDHdzKHAB5dFPpDl4s^Tw=~XIhzeA{Vx`V{TJalqv^(2xNtxGctnd8E z^HEVwjTW+9&)oHU@vlo>H)ckkTppRd-N}K)zauzqwhdGI_rSN;9~CGV^c#z@pSPZ< z8TT;RJZEtulUwI+HmSg*nE{N6)t|#|FGx7?{PRnWnw{sa=2u@m)WXCu?Q6Gu`J$^Y zK5uWBKh-q;e$N>ZZzd-X;XRIxIzMlA7<f-v+4E}Zr6aC^yI3Zq)_E6b-10P??EK=w zOe2nUQOOdS>lVz@DxAv7Q6`!DNJrFco@f9YSCilUZ8y{!4<7H{w%U!skma$9Re}dY zWNV~lEXQ+Ak5igDZ<e{F3;UTpxR~h@R=6dE?Y!43-*@``H$R+=KjD5%+<&k6?Gsn` zvpK71&RpHQ;4_o5!T!rtKlM%=T)!^It)QvLN4uP3S&GhKMUgckYg%O+jJNx-&e>Mb zYR__FbN1W}Mpo82=^Sk*c`n}6{=R+Ri8vWv^)B&L)$*pZMJrcMTpBZr-~Ng*-;zuR zCBNcCy+!Z6dYRfz3fb<qu~BD>atO0%pYS#5phw7zg1bw@{QX%I?(Dq&o=G*Y-ZM4% zr+T9N3=L6VWA}-AA6VX0zCE_F@^`+2=)2|JsT-AEt$IJPl_5Q8!$cw9mTilEs_gy# zg{{J4&GLzSz7I6E&%f8pzHEyKi{;hG%u7+GAy?Mjer5Xp-qr3$YCeK2tKQspSh;fA z-zgUq4cI@mu&M9r3)pp5;K)x6lXd@F?1c1xnH`?oArMnGbE=k|;X*;*UB5GbJujb9 zS8wXj)0x?I>Zq^0)B+J3&Y!PDIFv#+&Ed<IS+dCH<z$=B@*Y87MVzad%r`kOzZWlZ KwFsC1%5(rFbdU)E literal 899 zcmZ>Y%CIzaj8qGboa~zThJmr9{{R24Z)X3hi4v;4|NsC0t@%IK1$-#qH`n6&tZRN( zt8AMuJ21`hF<cnYvf!)F?0|zjy}S%kQVbV(85kIN*%VCJ8W>-hFk~(;VOHbNnr+hT z>^4i(U{>-K=PNutEGKw+W*YdoIh;7zz{ulp#Dt9_(L~a~$Kk@sWwVk}cukB<j4~H4 zxXd}>h!HbOl2Ha*GfR?zuSo(&0!zwewH}EnPP4O8?VT7UO^#ehTOh?C#q2Z7$f&A; zfq~f}*KtdRudQ1zTTd_Bm9Hj~x8Dt{4F6KKZ&uG9hlxs4?OwAlbqG-q$_tp#si={$ zfuo~A@is%{>^olK8zb1R8ml=P>6|&L-68hH_0qS(hJ7wp4ZF4{=oN81zklxF#_m%s zj?&TW^LIV;DxLpzQg+0|7(sE9yG0ESj67N_JC0;AsO?$ztMFBT09%@1H?yWc$BG?g z8!pdM6<~B}lby76wTK@B!{*;_Ht)AOxG;$)PT>{Xy4%zEEH5x{D88+U>ECvCi}PuP zjH`c^zi)fIhI2xMH`Di&0$=xnrxLoqj2@Rx*0>m&lErkyyXxD6#HFdXVrHBaKCZNO z)|}^3Z#QU2I-GIiYL}~HjWK%JaHhc`N$1V)_f1b6oSE}CO>U4`)T-+AAmYH~o;}SP zDhkK6Pp!GU%xba2WbO~WAsbc)>|4$7%j%Wy(Pz)Xf9&P`>@D-C_wsw+V^3bsZI%?` z*|jse;E@W)3i&Vh_CMY9Jo1K4$$>@}F1C-2f*0AA3b>Ur&UF#Lz>txDgE_kFK(k%J z>1}bcjVcEfqFobQOgucl_$g19*sy-@tQwBkNj@h}daXRBq%!SgsOe8;=U=H63|&dv zIiLKf`l=qh-K|gH;pdkPQx`F&yt7O0Ke43Q{e9c5=By_lc&47-d$@o}%Y6Q#;-Z?$ z;I<S2##Mduds7V<qSdM%M_IhRvw?MX(2=dTIA+~Cxx}wQxF$fw)>B>Jqsp<;_cPVy z`5OF~Tw85byeb>SpVe1|$Q%mrV3Mg>DH+nGn<i)>pK!ynJj0hi&5?zxTb8LYG*tEO zH323e2L7iU9R68a6RNo!Cw7Ob*!*z3WWBuQUPB-w_oO!yy(X(lb9B9bzIOgP^Cfco zUs-jyymBoq?EB|xz$T~jSCos1Lv7!}hSbbi-kL>!h3>LQ>&B#Yw^%G|U_YSuq^n?| JqFUGC8vwrWh++T$ -- GitLab From 78c7a1b6c34ba2f836d650d45453ccc04116f27d Mon Sep 17 00:00:00 2001 From: Eduardo Junior <edujrrib@gmail.com> Date: Fri, 21 Oct 2016 23:57:18 -0200 Subject: [PATCH 17/30] =?UTF-8?q?Complementa=20se=C3=A7=C3=A3o=20exemplos?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- R/Cananeia.R | 17 +++++++++++------ 1 file changed, 11 insertions(+), 6 deletions(-) diff --git a/R/Cananeia.R b/R/Cananeia.R index f4409960..ce190d76 100644 --- a/R/Cananeia.R +++ b/R/Cananeia.R @@ -1,15 +1,15 @@ #' @name Cananeia -#' @title Temperaturas em Cananeia, São Paulo +#' @title Temperaturas em Cananéia, São Paulo #' @description Dados sobre temperaturas médias mensais, em graus -#' centígrados, da cidade de Cananeia, em São Paulo. A tabela é -#' referente ao período de Janeiro de 1976 a Dezembro de 1985. -#' +#' centígrados, da cidade de Cananéia, em São Paulo. A série é +#' referente ao período de Janeiro de 1976 a Dezembro de 1985. +#' #' @format Uma série temporal (classe \code{ts}), com 120 observações -#' mensais, de janeiro de 1976 a dezembro de 1985. +#' mensais de Janeiro de 1976 a Dezembro de 1985. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries #' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A1 - Temperatura, mencionada em diversas +#' Blucher. (Série A1 - Temperatura, mencionada em diversas #' páginas) #' @examples #' @@ -31,4 +31,9 @@ #' library(latticeExtra) #' xyplot(stl(Cananeia, s.window = 12), col = "green") #' +#' # Visualizando as temperaturas em Cananeia e Ubatuba no mesmo período +#' # help(Ubatuba) +#' series <- ts.union(Cananeia, Ubatuba) +#' xyplot(series, type = c("o", "g"), pch = 20, superpose = TRUE) +#' NULL -- GitLab From 340cd763b844f9fc0920502eb803bddb3657c445 Mon Sep 17 00:00:00 2001 From: Eduardo Junior <edujrrib@gmail.com> Date: Sat, 22 Oct 2016 00:33:11 -0200 Subject: [PATCH 18/30] =?UTF-8?q?Corrige=20dados=20e=20documenta=C3=A7?= =?UTF-8?q?=C3=A3o=20das=20a=C3=A7=C3=B5es=20Cemig?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Os dados referiam-se à série de IBV (Índice da Bolsa de Valores), estavam idênticos à IBV.txt. Incluiu-se os dados corretos; - A série foi salva em formato 'zoo', pois as observações não são regularmente espaçadas. --- R/Cemig.R | 16 +- data-raw/Cemig.txt | 2996 ++++++++++++++++++++++---------------------- data/Cemig.rda | Bin 4104 -> 13335 bytes 3 files changed, 1509 insertions(+), 1503 deletions(-) diff --git a/R/Cemig.R b/R/Cemig.R index 53989691..b750046f 100644 --- a/R/Cemig.R +++ b/R/Cemig.R @@ -1,23 +1,29 @@ #' @name Cemig #' @title Ações da CEMIG -#' @description Dados sobre os preçoes diários das ações da CEMIG, +#' @description Dados sobre os preçoes diários das ações da CEMIG, #' de três de Janeiro de 1995 a 27 de Dezembro de 2000. -#' +#' #' @format Uma série temporal (classe \code{ts}), com 1498 observações #' diárias, de 3 de janeiro de 1995 a 27 de dezembro de 2000. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries #' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A9 - Mercado Financeiro, mencionada em diversas +#' Blucher. (Série A9 - Mercado Financeiro, mencionada em diversas #' páginas) #' @examples #' #' data(Cemig) #' str(Cemig) +#' +#' library(zoo) #' Cemig #' -#' # Médias anuais -#' aggregate(Cemig, FUN = mean) +#' # Médias anuais e em cada mês +#' aggregate(Cemig, by = format(time(Cemig), "%Y"), FUN = mean) +#' aggregate(Cemig, by = format(time(Cemig), "%B"), FUN = mean) +#' +#' # Série regularmente espaçada com médias mensais +#' aggregate(Cemig, by = as.yearmon, FUN = mean) #' #' # Visualização da série #' library(lattice) diff --git a/data-raw/Cemig.txt b/data-raw/Cemig.txt index cdbd667a..f371f853 100644 --- a/data-raw/Cemig.txt +++ b/data-raw/Cemig.txt @@ -1,1499 +1,1499 @@ x -4097.9 -3967.9 -4036.6 -3827.3 -3627.8 -3270 -3499.1 -3840.6 -4103.8 -4056.4 -4209.7 -4078.5 -3809.3 -3862.3 -3758.4 -3840.2 -3840.2 -3926.8 -3784.3 -3580.7 -3885 -3989.8 -3897.8 -3944.3 -3829.8 -3637.4 -3556.2 -3401.5 -3307.7 -3294.9 -3192.2 -3069.4 -2863.8 -3023.2 -2961.6 -2793 -2872.3 -3217.4 -3270.8 -3270.8 -2989 -2988 -2867.1 -2615.7 -2363.3 -2138.2 -2686.1 -2670.8 -3016.9 -2939.4 -3141.7 -2981.1 -2870 -3006.1 -3003.9 -3145.6 -3361.2 -3372.2 -3255.7 -3198.1 -3125.5 -2978.9 -2893.5 -3125.1 -3180.3 -3254.5 -3192.6 -3114 -3017.7 -3020.7 -3113.1 -3193.9 -3330.6 -3384.2 -3512.8 -3699.1 -3825.8 -3851 -3813.7 -3861.5 -3975.9 -4043.9 -4008.2 -3914.2 -4065.4 -4050.4 -3951 -3998.3 -3894 -3835.1 -3964.3 -4008 -3950 -4033.7 -4048.7 -4099.5 -4018.9 -3904.9 -3896.3 -3706.8 -3720.5 -3773.5 -3966.4 -4062.8 -3933.2 -3808.1 -3818.4 -3670.6 -3704.7 -3789.2 -3665 -3717.8 -3696.1 -3576.9 -3631.6 -3598.8 -3585.6 -3537 -3661.3 -3715.4 -3678 -3603.3 -3594.3 -3633.6 -3700.3 -3820.9 -3961.7 -3958.4 -3889.2 -4026.4 -4007.5 -4026.8 -4016.1 -3919.1 -3829.4 -3939 -3862.3 -3899.6 -3917.9 -3878.8 -3912.8 -3888.3 -3877.4 -3870.8 -3918.4 -4025.5 -4200.3 -4393.8 -4310.7 -4279.7 -4337 -4193 -4081.2 -4156.3 -4223.3 -4229.1 -4235.3 -4298.9 -4305.5 -4471.1 -4445 -4459.2 -4514.9 -4367.8 -4236 -4310.5 -4449.9 -4520.1 -4563.1 -4550 -4531.6 -4638.6 -4703.6 -4737.3 -4810.5 -4801.8 -4851.3 -4861.2 -4776.6 -4693.5 -4673.7 -4579 -4543.9 -4548 -4566.6 -4670.1 -4538 -4504.2 -4426.3 -4498.6 -4514.6 -4456.6 -4409.5 -4500.6 -4513.6 -4549.6 -4620.9 -4601.7 -4585 -4668.8 -4563.9 -4528.1 -4343.7 -4060.2 -4140.6 -4069 -4128.3 -4099.8 -4158.7 -4094.3 -4111.2 -4117 -4112.9 -3957.9 -3787 -3797.3 -4003.6 -4063.5 -3966 -4059.5 -4105.7 -4191 -4081.6 -4105.1 -4049.8 -4182.4 -4378.5 -4345.9 -4334.1 -4281 -4303.6 -4318.7 -4299.2 -4306.2 -4365.6 -4369.7 -4183.3 -4158.6 -4056 -4034.9 -4205.7 -4252 -4343.2 -4364 -4346.2 -4299 -4299 -4390 -4681.4 -4684 -4694.3 -4741 -4653.8 -4622.1 -4748.6 -4846.5 -4895.4 -4846.7 -4836.2 -4833.8 -4909 -4893.8 -4985.2 -4945.2 -4945.2 -4907.7 -4934.8 -5133.4 -5151.5 -5269.3 -5410.9 -5332.9 -5354 -5283 -5322.6 -5305.4 -5338.9 -5385.5 -5330.8 -5273.7 -5172.9 -5172.9 -5237.7 -5274.3 -5245.2 -5193 -5199.2 -4957.7 -5083.3 -5152.6 -5197.9 -4975.3 -4755.9 -4721.9 -4771.7 -4739.4 -4805.5 -4841.2 -4852.5 -4886.9 -4851.5 -4868.3 -4979.7 -5051.2 -5031.6 -4981.7 -5039.6 -4980.5 -4954.9 -5009.2 -4985.5 -4977.5 -4853.6 -4866.4 -4889.5 -4885.1 -5015.5 -5022.3 -4989.3 -5003.9 -5002 -5075.6 -5079.6 -5061.9 -5047 -5121.8 -5142.6 -5149.3 -5164.1 -5146 -5101.4 -5153 -5283.9 -5360.5 -5388.5 -5345.4 -5480.2 -5428.1 -5448.3 -5475.6 -5560.3 -5655.6 -5601.9 -5681.5 -5530.8 -5600.6 -5627.9 -5710.8 -5625.7 -5687.7 -5727.9 -5635 -5599.4 -5567.8 -5530.2 -5457.1 -5413.4 -5532.4 -5503.7 -5634.8 -5804.8 -5834.6 -5817.1 -5823 -6053.1 -6201.8 -6082.4 -6227.1 -6181.5 -6043.8 -6156.1 -6245.5 -6355.8 -6432 -6286.4 -6338.7 -6487.9 -6444.7 -6508.5 -6652.1 -6432.9 -6293.4 -6214.6 -6188.7 -6411.6 -6299.1 -6222.5 -6050.9 -6096.3 -5968.4 -5909.3 -6143.3 -6123.2 -6277.3 -6363.5 -6244.1 -6130.7 -6165.2 -6257.2 -6222.7 -6304.1 -6227.7 -6227.1 -6348.4 -6352.8 -6292.1 -6337.1 -6314.7 -6248.9 -6202.7 -6028 -6126.1 -6294.7 -6270 -6259.4 -6232.5 -6270 -6276.8 -6254 -6334.6 -6382.7 -6415.7 -6358 -6390.9 -6464.2 -6534.2 -6512.4 -6489.6 -6560.2 -6588.2 -6551.7 -6557 -6513.8 -6535.9 -6458.8 -6446.8 -6521.7 -6605.8 -6626.9 -6612.6 -6651.5 -6631 -6626.7 -6608.6 -6631.3 -6744.9 -6733.5 -6766 -6798.1 -6798.9 -6675.6 -6648.6 -6588.8 -6503.3 -6401 -6549.7 -6543.2 -6533.1 -6641.1 -6658.5 -6697.5 -6704.6 -6666.6 -6559.5 -6582.9 -6523.3 -6570.9 -6522.9 -6556.2 -6556.9 -6541.3 -6625.9 -6645.2 -6649.2 -6631.5 -6591.8 -6644.8 -6666 -6735.6 -6836.8 -6797.6 -6947.1 -6872.9 -6836.3 -6855.8 -6677.7 -6657.4 -6680.1 -6654.3 -6784.5 -6910.4 -6891.6 -6942.2 -6912.5 -6912.5 -6957.7 -7006.8 -7039.9 -7039.9 -6955.5 -6997.7 -7159.5 -7297.4 -7427 -7454.2 -7478.3 -7411.7 -7621.1 -7667.5 -7655.8 -7816.2 -7835.4 -7904.9 -7817.5 -7890.6 -7759.7 -7759 -7849.7 -7736.9 -7788.8 -7964.6 -8095.9 -8102.2 -8171.1 -8147.8 -8316.5 -8670.6 -8764.9 -8699.9 -8816 -8950.2 -8771.3 -8701.8 -8719.5 -8959.2 -9149.1 -8927.8 -8776.7 -8828.7 -8978 -8961 -9074 -9125 -9180 -9419 -9565 -9317 -9314 -9499 -9263 -9172 -9087 -9302 -9301 -9327 -9380 -9271 -9044 -9138 -9237 -9302 -9705 -9836 -9737 -9819 -9732 -9517 -9455 -9490 -9565 -9418 -9422 -9473 -9634 -9708 -9731 -9761 -9858 -9982 -10074 -9993 -10218 -10179 -10437 -10491 -10681 -10647 -10282 -10353 -10498 -10505 -10640 -10714 -10745 -10764 -10960 -11133 -11300 -11344 -11360 -11110 -11029 -11106 -11333 -11396 -11428 -11489 -11851 -11828 -11953 -12118 -12205 -12205 -12121 -12238 -12587 -13053 -12873 -12757 -12567 -13002 -13259 -13284 -13493 -13502 -13617 -13617 -13608 -13153 -12698 -11617 -12640 -11728 -11181 -11291 -12235 -12426 -12524 -12522 -12937 -13043 -13018 -12872 -12259 -12016 -11908 -12523 -12322 -12128 -11948 -11809 -11850 -11904 -11334 -11337 -11211 -10848 -11180 -11157 -11421 -11626 -11719 -11267 -10609 -10109 -11062 -11119 -11430 -11838 -11684 -11734 -11361 -11093 -11292 -10864 -11204 -11524 -11713 -11649 -11697 -11516 -11482 -11384 -11533 -11614 -11797 -12173 -12396 -12540 -12688 -12480 -12432 -12684 -12737 -12697 -12895 -12830 -12578 -12487 -12703 -13015 -12955 -11899 -11545 -9816 -10447 -9818 -8854 -8986 -9858 -10254 -9988 -9434 -8832 -9006 -8710 -7822 -8072 -8731 -9083 -9027 -9332 -9188 -9422 -9070 -9150 -9372 -9619 -9394 -9648 -9964 -9991 -10046 -10080 -10078 -9840 -9461 -9108 -9146 -9550 -9742 -9853 -9482 -9139 -9494 -9554 -9554 -9794 -10051 -10196 -10196 -10479 -10606 -10184 -9879 -9657 -9118 -9227 -9415 -9349 -9140 -9448 -9752 -9568 -9385 -9709 -9467 -9513 -9651 -9773 -9785 -9720 -9973 -10054 -9971 -9948 -10010 -10239 -10278 -10485 -10350 -10391 -10233 -10420 -10322 -10235 -10318 -10545 -10556 -10570 -10845 -10939 -10898 -10947 -11159 -11166 -11180 -11223 -11356 -11566 -11600 -11808 -11894 -11831 -11919 -12038 -11905 -11756 -11945 -11899 -11750 -11946 -11836 -11857 -11634 -11948 -11847 -11974 -12120 -12269 -12299 -12090 -12108 -12028 -11703 -11572 -11728 -11057 -11377 -11527 -11677 -11507 -11554 -11164 -11063 -11220 -10983 -10797 -10779 -10733 -10906 -10204 -10343 -10408 -10268 -10239 -10015 -9436 -9747 -10152 -9846 -9605 -10150 -9855 -10191 -10369 -10540 -10369 -9868 -9584 -9073 -9248 -9897 -9539 -9686 -9619 -9937 -9855 -9527 -9464 -9603 -9678 -9914 -9900 -10115 -10018 -10205 -10335 -10335 -10326 -10419 -10641 -10648 -10907 -11057 -11041 -10922 -10912 -10639 -10574 -10564 -10318 -10542 -10939 -10707 -10412 -9859 -9828 -9689 -9319 -9182 -8801 -8417 -8710 -8743 -8609 -8642 -8541 -7991 -7763 -7655 -7651 -7347 -6616 -6746 -6472 -6917 -6804 -6218 -5837 -5816 -5655 -4760 -5398 -5818 -6905 -6759 -6432 -6709 -6449 -6559 -7280 -6844 -6711 -6827 -6868 -6593 -5960 -6409 -6122 -6336 -6156 -6175 -6527 -6618 -6445 -6874 -6707 -6844 -6973 -7350 -7603 -7272 -6971 -6869 -6826 -6538 -7047 -7509 -7655 -8092 -8214 -8242 -8000 -7762 -7470 -7615 -8003 -8330 -8547 -8317 -8531 -8635 -8606 -8909 -8953 -9093 -8631 -8544 -8448 -7706 -7626 -7945 -7629 -7572 -7530 -7195 -6583 -6934 -6618 -6645 -6781 -7201 -7115 -7176 -7176 -6898 -6715 -6784 -6784 -6941 -7110 -7330 -6954 -6781 -6403 -5915 -5617 -5057 -6746 -7113 -7380 -7674 -7321 -7189 -7189 -7645 -7687 -7987 -8171 -8891 -8731 -8676 -8652 -8435 -8824 -8673 -8853 -8990 -8952 -8974 -8860 -9013 -9074 -8942 -8953 -8674 -8910 -9198 -9070 -9154 -9508 -9465 -9785 -9484 -9778 -9697 -9574 -10413 -10658 -10634 -10894 -10835 -10527 -10416 -10428 -10937 -10865 -10868 -11027 -10696 -11021 -11165 -11529 -11465 -11328 -11429 -11217 -11305 -11245 -11428 -11196 -10989 -11083 -11031 -10797 -10885 -11127 -11085 -11350 -11436 -11268 -11578 -11888 -12233 -12412 -12267 -12147 -12459 -12335 -12151 -12267 -12118 -12088 -11727 -11154 -10602 -11245 -10936 -10929 -11089 -11050 -10996 -11233 -11047 -11032 -10889 -11089 -11104 -11084 -11183 -11643 -11628 -11877 -12005 -11974 -11792 -11430 -11219 -11264 -11379 -11626 -11708 -11835 -11936 -11674 -11745 -11509 -11509 -11273 -11302 -11349 -11361 -11407 -11451 -11274 -11302 -11238 -10989 -10675 -10734 -10691 -10568 -10441 -10211 -10264 -10172 -10195 -10038 -9948 -9834 -10136 -10045 -10180 -10118 -9924 -9689 -9818 -10142 -10180 -10314 -10650 -10496 -10545 -10524 -10564 -10902 -10998 -11156 -11185 -11090 -11292 -11363 -11477 -11459 -11263 -11094 -11290 -11586 -11449 -11531 -11385 -11532 -11542 -11442 -11433 -11106 -10959 -11055 -10923 -11345 -11338 -11459 -11478 -11297 -11330 -11146 -10978 -11097 -11274 -11253 -11460 -11394 -11469 -11530 -11700 -11700 -11762 -12346 -12406 -12714 -12960 -12879 -13101 -13189 -13114 -13128 -12812 -13087 -13462 -13435 -13565 -13392 -13536 -13888 -13854 -13778 -13874 -14213 -14408 -14344 -14299 -14410 -14584 -14783 -14811 -14644 -14322 -14497 -14788 -15110 -15591 -15916 -15953 -15953 -16011 -16376 -16772 -17091 -17091 -16930 -15851 -16245 -16106 -16309 -17022 -16572 -16616 -17298 -17657 -18053 -17903 -17470 -17176 -17034 -16971 -16971 -17105 -17081 -16734 -16388 -16522 -16868 -17457 -17932 -18125 -18685 -18361 -18603 -18083 -17819 -17920 -18112 -17979 -17625 -17699 -17489 -17833 -17775 -17786 -17542 -17660 -17953 -18015 -18631 -18282 -18650 -18280 -17594 -17221 -17381 -17642 -17511 -17525 -18342 -18314 -18331 -18674 -18951 -18337 -18053 -17646 -17820 -17245 -16757 -16714 -17146 -17513 -16783 -16539 -16323 -15500 -14794 -14815 -15408 -14926 -15203 -14794 -15400 -15446 -15440 -15537 -15524 -15108 -14969 -15217 -14890 -14581 -14433 -14498 -14458 -15055 -15360 -14870 -14626 -14326 -13891 -13587 -14166 -14185 -14542 -14772 -15248 -14956 -15450 -16222 -16022 -15946 -16271 -16398 -16342 -16096 -16354 -16366 -16561 -16424 -16850 -16843 -17254 -16977 -16744 -16512 -16842 -16407 -16727 -17088 -17279 -17134 -17348 -17598 -17471 -16880 -17053 -16444 -16880 -17387 -17368 -16927 -17203 -17318 -17385 -17049 -17121 -16948 -16485 -16454 -16289 -16314 -16720 -16761 -16995 -16884 -16533 -16834 -17395 -17810 -17744 -17330 -17702 -17313 -17083 -17224 -17450 -17310 -17642 -17460 -17354 -17414 -17346 -17577 -17613 -17424 -17589 -17433 -17287 -16882 -16998 -16768 -16563 -15913 -16188 -16077 -16146 -16353 -16318 -16254 -15848 -16013 -15928 -15559 -15633 -15876 -16362 -15945 -15855 -15747 -15526 -15385 -15241 -14870 -14420 -14845 -14529 -13989 -13799 -13665 -14223 -14691 -14891 -14867 -14791 -14533 -14800 -14968 -14656 -14524 -14625 -14371 -14540 -14489 -14323 -14499 -14783 -14576 -14314 -14335 -14008 -13913 -13787 -13287 -13437 -13510 -14181 -13945 -14459 -14982 -15187 -14906 -15290 -15259 -14987 -15082 -15336 -14622 -14505 -14652 -14794 -15186 +11.45399 +11.45238 +11.93796 +11.61531 +11.61531 +10.32472 +11.212 +12.74458 +13.71252 +13.71252 +13.87385 +13.5512 +12.74458 +12.58326 +12.26061 +12.66392 +12.66392 +12.66392 +12.09929 +11.37333 +12.5026 +12.74297 +12.26061 +12.42193 +12.17833 +11.77664 +11.53465 +10.97002 +10.64737 +10.48443 +10.00208 +9.839139 +9.597153 +9.840752 +9.921414 +9.598767 +9.681042 +10.40539 +11.05068 +11.05068 +10.08274 +9.277732 +8.224288 +7.420895 +6.614276 +6.452952 +8.372706 +8.227514 +9.356781 +9.034133 +9.840752 +9.840752 +9.598767 +10.2118 +10.32472 +11.05068 +11.69598 +11.61531 +11.57734 +11.24588 +11.1275 +10.65399 +10.41724 +11.06832 +11.30507 +11.48264 +11.24588 +10.83156 +10.44683 +10.71318 +10.7191 +10.77237 +11.1275 +11.24588 +11.71939 +12.60723 +13.31157 +13.02155 +12.6605 +12.7256 +13.02155 +13.2879 +13.37668 +13.19911 +13.43587 +13.37668 +13.37668 +13.43587 +13.37668 +13.02155 +13.08074 +12.90317 +12.54804 +12.48885 +12.42966 +12.66641 +12.7256 +12.60723 +12.60723 +12.29944 +12.37047 +12.07453 +12.7256 +13.02155 +12.7256 +12.31128 +12.1929 +11.6602 +11.58918 +11.60102 +11.1275 +11.1275 +11.27548 +10.80197 +10.71318 +10.71318 +10.65399 +10.41724 +10.86115 +11.18669 +10.94994 +10.65399 +10.56521 +10.64807 +10.77237 +11.36426 +12.07453 +12.13371 +11.77858 +12.42966 +12.31128 +12.37047 +12.16331 +11.83777 +11.6602 +11.71939 +11.89696 +11.89696 +11.98574 +11.95615 +12.00942 +11.83777 +11.71347 +11.6602 +11.89696 +12.13371 +12.60723 +13.31749 +13.2583 +13.31749 +13.43587 +13.29974 +12.78479 +12.90317 +13.13993 +12.78479 +12.7256 +12.84398 +13.00971 +13.31749 +13.2583 +13.31749 +13.49506 +12.96236 +12.45925 +12.7256 +13.31749 +13.31157 +13.08074 +12.78479 +12.78479 +12.96236 +12.84398 +12.78479 +13.19911 +13.52465 +13.791 +14.02184 +13.73181 +13.55425 +13.37668 +12.90317 +12.7256 +12.54804 +12.48885 +12.60723 +12.13371 +12.04493 +12.10412 +12.10412 +12.40006 +12.4612 +12.63837 +12.78602 +12.93366 +13.05178 +13.22895 +13.22895 +13.37659 +13.87859 +13.43565 +13.47109 +13.08131 +12.40214 +12.4612 +12.10685 +12.16591 +11.81747 +12.22497 +12.22497 +12.04779 +12.22497 +12.04779 +11.51037 +10.98475 +10.86664 +11.81156 +11.98874 +11.7525 +12.18953 +12.40214 +12.63837 +12.10685 +12.10685 +11.87062 +12.16591 +12.63837 +12.57931 +12.69152 +12.80964 +12.40214 +12.52026 +12.40214 +12.28403 +12.57931 +12.80964 +12.40214 +12.40214 +12.10685 +12.13638 +12.81555 +12.81555 +12.93366 +12.96319 +12.72696 +12.69743 +12.69743 +13.04587 +13.64235 +13.76047 +13.5833 +13.64235 +13.51833 +13.46518 +13.76047 +13.93174 +14.14435 +13.9967 +14.2034 +14.23293 +14.35105 +14.17388 +14.26246 +13.96717 +13.96717 +14.08529 +13.9967 +14.10891 +14.41011 +14.94163 +15.76844 +15.76844 +15.59126 +15.70938 +16.35901 +16.47713 +16.53619 +17.09724 +16.83148 +16.71336 +15.94561 +15.94561 +15.91608 +16.06373 +16.06373 +15.94561 +15.9397 +14.76445 +15.41409 +15.59126 +15.76844 +15.23692 +14.23293 +14.11482 +14.35105 +14.46916 +14.82351 +15.34913 +15.35503 +15.70938 +15.47315 +15.69757 +16.29996 +16.6543 +16.2468 +16.29996 +16.71336 +16.27633 +16.35901 +16.41807 +16.35901 +16.41807 +15.94561 +15.35503 +15.41409 +14.76445 +15.05384 +15.05974 +14.82351 +14.55775 +14.46916 +14.52822 +14.29199 +14.23293 +14.05576 +14.82351 +15.14833 +15.20739 +15.361 +15.67436 +15.76038 +15.85255 +15.94471 +16.22121 +16.77421 +16.52843 +16.58988 +16.55915 +16.58988 +16.46084 +16.65132 +17.17359 +17.01998 +17.01998 +16.65132 +16.77421 +16.65132 +16.6206 +16.15362 +16.03688 +16.25193 +15.91399 +16.09832 +16.22121 +15.91399 +16.03688 +16.03688 +16.22121 +15.97544 +16.2888 +17.08143 +17.11215 +16.95854 +16.8971 +17.78803 +18.12598 +17.97237 +18.37175 +17.51154 +16.40554 +16.71276 +16.8971 +16.83565 +17.38865 +17.01998 +16.95854 +17.05071 +17.54226 +17.8802 +18.09525 +17.63442 +17.05071 +16.95854 +16.95854 +17.38865 +17.26576 +17.08143 +16.83565 +16.65132 +16.52843 +16.58988 +17.14287 +17.08143 +17.48081 +17.78803 +17.81876 +18.07068 +18.21814 +18.40247 +18.37175 +18.49464 +18.4332 +18.74042 +19.63135 +19.66208 +19.4163 +19.04764 +18.4332 +18.40247 +18.21814 +18.06453 +18.24886 +18.80186 +18.74042 +18.80186 +18.98619 +19.04149 +19.47774 +19.47774 +19.35486 +19.4163 +19.04764 +18.92475 +18.80186 +18.98619 +19.04764 +19.10908 +19.15824 +19.35486 +19.16438 +18.92475 +18.80186 +18.808 +18.8633 +18.8633 +18.74042 +18.74656 +19.10908 +19.53919 +19.78496 +20.15363 +20.21507 +20.82951 +20.89096 +21.13673 +20.89096 +20.76807 +20.33796 +20.3994 +20.31338 +20.09218 +20.27652 +20.89096 +20.58374 +20.03074 +20.28266 +20.21507 +20.09218 +19.96315 +20.27652 +20.76807 +20.76807 +20.82337 +20.76807 +20.82951 +20.52229 +20.46085 +20.79879 +20.76807 +20.3994 +19.66208 +19.04764 +19.4163 +19.84641 +19.66208 +19.84641 +20.27652 +20.46085 +20.27652 +20.36868 +20.58374 +22.54994 +22.05839 +21.38865 +21.38251 +20.58374 +20.3994 +20.27652 +20.27652 +20.09218 +20.89096 +21.01384 +21.44395 +21.32106 +21.32106 +21.38251 +21.13673 +21.75117 +21.75117 +20.8971 +21.41323 +22.12598 +23.84027 +24.51615 +24.70048 +24.70048 +24.82337 +26.11369 +27.40402 +26.60525 +26.5438 +26.42091 +26.5438 +26.48236 +27.34257 +27.40402 +27.21969 +26.97391 +26.41477 +26.48236 +26.97391 +26.97391 +27.0968 +27.15824 +27.77268 +29.24734 +30.10755 +29.80033 +28.82337 +29.49311 +29.12445 +28.81723 +28.6329 +28.3564 +28.63904 +28.57145 +27.95701 +26.66669 +26.02153 +27.02921 +27.40402 +27.87714 +28.20279 +28.26423 +29.616 +30.72199 +29.18589 +29.43167 +29.49311 +29.06301 +28.26423 +27.34257 +27.71124 +28.01846 +27.83413 +28.14135 +27.64979 +26.78958 +26.85102 +27.77268 +27.95701 +28.6329 +29.616 +29.616 +29.6713 +29.73889 +29.43167 +28.87867 +28.87867 +29.05686 +28.57145 +27.77268 +28.51001 +28.69434 +28.87867 +28.94012 +29.11831 +29.48697 +29.79419 +29.8632 +29.11035 +29.17308 +29.17308 +29.67499 +30.11415 +30.17689 +30.17689 +29.11035 +29.23582 +28.98487 +28.98487 +28.67118 +29.67499 +29.80046 +29.98868 +30.99248 +30.61605 +29.80046 +30.74153 +31.74534 +32.93735 +33.87842 +34.44306 +33.87842 +34.06663 +34.38032 +34.81949 +35.07044 +36.07424 +35.57234 +34.5058 +34.5058 +34.25485 +33.87842 +33.87842 +34.19211 +35.76056 +35.76056 +34.63127 +34.81949 +35.44687 +35.13318 +35.13318 +35.44687 +34.94496 +35.32139 +35.32139 +37.64269 +38.89745 +38.57748 +34.51835 +36.63888 +34.5058 +31.99629 +32.62366 +35.32139 +36.39421 +37.8309 +38.27634 +38.89745 +38.89745 +38.27007 +38.27007 +36.38793 +35.5096 +35.5096 +36.8271 +35.76056 +35.13318 +34.69401 +34.81949 +35.43432 +35.35276 +34.19838 +34.19211 +33.87842 +32.12176 +31.69515 +32.30998 +32.99382 +34.5058 +34.63127 +33.25104 +30.74153 +27.99989 +29.4805 +30.74153 +32.05902 +34.0039 +34.88223 +35.75428 +34.81949 +33.43926 +34.81949 +33.94116 +35.13945 +36.13698 +36.63888 +37.20353 +37.33527 +36.38793 +35.7982 +35.13318 +36.51341 +37.57995 +38.39554 +38.27007 +38.27007 +37.64269 +38.26379 +37.39174 +37.01531 +37.65524 +37.51721 +37.61759 +37.64269 +38.45201 +37.51721 +37.95638 +37.89364 +38.39554 +38.25125 +35.152 +33.89097 +30.42784 +32.61112 +31.36891 +26.97726 +27.60464 +29.92594 +31.99629 +31.05522 +29.48677 +26.97726 +27.61091 +26.66357 +23.21299 +23.21299 +25.09513 +28.0438 +28.23202 +28.73392 +29.4805 +31.6826 +30.45921 +31.24343 +33.56473 +34.81949 +33.56473 +33.69021 +33.12557 +33.25104 +32.93735 +31.99629 +31.24343 +30.86701 +29.80046 +28.8594 +29.48677 +30.7478 +30.42784 +29.80046 +28.54571 +27.29095 +27.91833 +28.62814 +28.62814 +29.9005 +30.53668 +30.84841 +30.84841 +32.12713 +32.43886 +30.53668 +29.25796 +28.31005 +26.52874 +26.7196 +28.93987 +28.62814 +27.35578 +28.11919 +29.39155 +28.62814 +27.67387 +28.5009 +27.29216 +27.03769 +26.97407 +27.67387 +28.31005 +28.24643 +28.94623 +29.25796 +29.83688 +30.79115 +30.53032 +30.53668 +30.53668 +30.21859 +29.39155 +29.57605 +28.62814 +29.77326 +29.58241 +29.26432 +29.58241 +30.21859 +30.34583 +30.85477 +31.79632 +31.80904 +31.49095 +32.12713 +33.0814 +33.0814 +32.44522 +33.0814 +32.95417 +33.71758 +33.20864 +35.61977 +35.94422 +36.5804 +36.5804 +36.57404 +35.94422 +36.26231 +34.36013 +34.09929 +34.16291 +35.11718 +35.62613 +36.38954 +34.98995 +36.26231 +35.94422 +36.27503 +37.21658 +36.5804 +36.26231 +35.75336 +36.77125 +36.90485 +35.62613 +35.1808 +35.30804 +33.52673 +34.36013 +34.35377 +35.30804 +36.15082 +36.55072 +35.99086 +35.99086 +34.55123 +33.51149 +32.07186 +31.59198 +30.87216 +31.59198 +29.27257 +29.19259 +29.59248 +28.40079 +28.39279 +28.79269 +26.71322 +27.67297 +30.49626 +30.39228 +28.79269 +31.19208 +30.39228 +31.19208 +31.19208 +30.40028 +29.19259 +27.35305 +26.7932 +25.2016 +25.27358 +28.15285 +27.35305 +27.98489 +27.19309 +29.35255 +29.59248 +28.63273 +28.39279 +28.39279 +28.79269 +29.99238 +29.75244 +30.79218 +30.39228 +31.19208 +32.39177 +32.39177 +33.75143 +34.55123 +34.39127 +34.79116 +35.75092 +36.47074 +35.19106 +34.39127 +33.35153 +32.39177 +32.95163 +31.99188 +31.19208 +31.19208 +31.99987 +31.59198 +31.03212 +29.19259 +29.99238 +28.95265 +27.83293 +27.1771 +25.91342 +24.23385 +25.5935 +26.7932 +25.75346 +25.5935 +24.7937 +22.79421 +21.98642 +20.79472 +20.55478 +19.75498 +17.59553 +17.59553 +17.59553 +20.27648 +20.20041 +18.59452 +17.6648 +16.90411 +15.6363 +11.84133 +13.86137 +15.46726 +19.86233 +19.86233 +19.86233 +21.29918 +20.70754 +20.36946 +23.8348 +23.24315 +22.14439 +23.07411 +22.98959 +21.8063 +19.86233 +20.9611 +19.43973 +20.28493 +20.03137 +19.86233 +21.95844 +22.39795 +21.55274 +23.32767 +23.07411 +22.48247 +23.24315 +22.82055 +23.64885 +22.48247 +19.86233 +18.67904 +18.96359 +18.78962 +20.18144 +22.18219 +23.92196 +24.35691 +24.53089 +24.35691 +23.22605 +22.61713 +21.74724 +21.74724 +23.22605 +24.35691 +25.92271 +24.4526 +25.05282 +26.7926 +26.09669 +27.40152 +27.48851 +28.27141 +26.44464 +25.2268 +24.70487 +22.18219 +21.13832 +22.18219 +22.00821 +22.61713 +23.03468 +21.92122 +20.00746 +20.87735 +19.57252 +19.57252 +19.31155 +20.61638 +21.44673 +21.53609 +21.53609 +20.10631 +19.74886 +20.55312 +20.55312 +19.2127 +19.6595 +20.81227 +19.74886 +19.2127 +17.87228 +17.15738 +14.65527 +13.04676 +16.9876 +18.31908 +19.6595 +19.2127 +19.2127 +18.94461 +18.94461 +19.2127 +20.10631 +20.99992 +23.1446 +24.12757 +24.39566 +25.02119 +23.32332 +22.16162 +23.05524 +23.05524 +23.68077 +24.57438 +24.12757 +23.23396 +23.77013 +24.21693 +23.77013 +23.51992 +23.94885 +23.41268 +23.94885 +24.7531 +24.84246 +25.46799 +26.09352 +26.80841 +27.16586 +26.54033 +27.56799 +26.71905 +25.89693 +27.70203 +29.04245 +28.77436 +31.18712 +30.47223 +28.86373 +27.70203 +27.70203 +28.60458 +30.20415 +31.81265 +34.85094 +34.27009 +35.82498 +37.89816 +38.82752 +35.28881 +35.28881 +36.19136 +36.0037 +36.01264 +37.7105 +38.15731 +36.63817 +35.83391 +36.20029 +35.20838 +33.07265 +32.1701 +35.66551 +35.36907 +37.05508 +37.79618 +36.1287 +38.02777 +37.51827 +38.44464 +39.37102 +38.16673 +36.17502 +37.05508 +37.25888 +36.59189 +36.68453 +37.24035 +36.78643 +35.20232 +33.72012 +31.32081 +34.26668 +33.34957 +33.54411 +34.27595 +34.46122 +34.25742 +35.3876 +33.34957 +32.60847 +32.09896 +33.34957 +34.5446 +34.83177 +34.84104 +36.31398 +36.49925 +37.87955 +36.77717 +35.39686 +33.9054 +33.45147 +33.07166 +32.88638 +33.62748 +34.28521 +35.19306 +34.92441 +34.97073 +33.83129 +33.08092 +31.96001 +31.96001 +31.49682 +31.117 +31.12627 +31.2189 +32.14528 +33.1643 +32.42319 +31.58945 +31.68209 +31.31154 +29.65333 +28.90296 +28.90296 +29.64406 +28.71769 +27.5134 +26.98536 +27.32812 +28.2545 +27.70794 +28.2545 +27.05021 +27.69867 +27.42076 +27.97658 +27.69867 +27.05021 +26.21647 +26.58702 +27.79131 +27.79131 +28.20818 +28.4583 +29.08824 +27.88395 +27.5134 +27.42076 +28.26376 +28.90296 +29.64406 +28.90296 +29.1994 +29.45879 +29.41247 +30.20915 +30.7094 +29.64406 +27.79131 +28.764 +29.0975 +28.91223 +30.29253 +30.57044 +30.94099 +29.54216 +27.79131 +27.79131 +26.86493 +26.30911 +26.21647 +26.12383 +26.48512 +26.86493 +28.43977 +28.19891 +27.14285 +27.09653 +26.8742 +26.9761 +27.52266 +27.79131 +27.79131 +25.76254 +25.11408 +26.30911 +26.30911 +25.70696 +25.75328 +26.12383 +26.85567 +28.07849 +29.29204 +29.64406 +29.92198 +31.2189 +30.01461 +29.92198 +30.10725 +29.45879 +29.87566 +30.30179 +30.19989 +30.01461 +30.38516 +31.51534 +32.65479 +34.27595 +33.49779 +33.15503 +33.53485 +32.60847 +32.51583 +31.96001 +32.05264 +31.76547 +31.62651 +31.22817 +30.90394 +29.36615 +30.94099 +30.94099 +32.60847 +33.54433 +33.54433 +34.11937 +34.11937 +34.4069 +34.39731 +36.03619 +38.81558 +38.81558 +38.33637 +35.5474 +35.46115 +35.93077 +36.03619 +35.17362 +33.44849 +32.7776 +33.68809 +35.36531 +35.36531 +34.79026 +34.79026 +34.30147 +33.06512 +32.82552 +32.82552 +32.49008 +31.33999 +30.57326 +29.51901 +29.99821 +29.80653 +29.50942 +29.42317 +29.79695 +31.33999 +31.86711 +32.58592 +31.36874 +29.90237 +30.1899 +30.52534 +30.09405 +29.61485 +30.1899 +29.59568 +30.04613 +29.43275 +29.23149 +28.75228 +27.8993 +27.98555 +26.73962 +28.17724 +28.08139 +28.5606 +29.29857 +28.88646 +28.26349 +28.76187 +29.81612 +30.1899 +29.61485 +30.41033 +29.71069 +28.9823 +29.47109 +29.25065 +29.61485 +29.51901 +29.24107 +29.21232 +27.90888 +26.42335 +26.44251 +27.02714 +28.17724 +27.02714 +26.56711 +26.54794 +25.49369 +23.95065 +24.31964 +24.31964 +24.18235 +25.10415 +24.51577 +25.10415 +25.20221 +24.61383 +26.96735 +26.38877 +25.88865 +25.9573 +27.3596 +27.44785 +26.10439 +25.89846 +25.97691 +25.4964 +27.06541 +27.75185 +26.77122 +26.31032 +25.69253 +24.73151 +24.51577 +25.4964 +25.98671 +27.06541 +27.70282 +28.83054 +27.55572 +27.45766 +27.3694 +27.45766 +27.45766 +28.28139 +28.69326 +28.64422 +28.43829 +28.73248 +28.43829 +29.8504 +29.90924 +32.16469 +31.77244 +32.36081 +32.75307 +31.38018 +32.35101 +31.8705 +30.89968 +31.5 +32.1 +33.13 +33.9 +35.5 +35.4 +35.4 +33.9 +33.18 +32.1 +32.78 +34.05 +34.4 +33.1 +33.9 +34.98 +35.02 +35 +35.07 +34.98 +33.4 +33.45 +33 +32.2 +33.6 +33.1 +33 +32.6 +31.9 +32.5 +34.49 +35.31 +34.9 +33.8 +34.4 +33.7 +33.31 +34.4 +34.89 +34.2 +34.94 +34.02 +33.4 +33.35 +32.6 +33.75 +34.05 +33.3 +33.85 +33.85 +33.89 +33.1 +33.69 +32.87 +32 +30.5 +31.31 +30.75 +32 +32 +31.17 +31 +30.7 +31.15 +30.55 +29.7 +30.41 +31.4 +32.41 +31.3 +30.68 +30.3 +30 +29.8 +29.2 +29.2 +28.28 +28.71 +27.51 +26.3 +25.83 +25.9 +27.69 +28.49 +29.55 +28.98 +28.5 +27.79 +28.95 +28.65 +28.01 +28 +29.7 +29 +28.8 +28 +27 +27.7 +28.2 +27.1 +27.05 +26.9 +25.72 +26 +25.7 +25.2 +25.25 +25.2 +26.29 +26.5 +28.3 +29.3 +28.51 +27.92 +28.5 +28.05 +28.05 +29 +29.7 +28.5 +28.5 +28.2 +28.6 +28.9 diff --git a/data/Cemig.rda b/data/Cemig.rda index e2dc269009acfbd714c14d6a0f670fe938f14378..47afcbef364f78739ffc19d9b84cd42ae9efe08c 100644 GIT binary patch literal 13335 zcmZ>Y%CIzaj8qGbTqIQ)!yvu?KSA(7b2fAB2L=WPhu=?B!p_I$E<C`>z`#)R#pZ(- z!-54L)Pm;quFZ|SyK}MI?1b~oeNUF%xP3?S;<fN(zpyR&%yVoQSgvo#yD?XyQ}1qx zvzNz7LtB4Cw`H@Og;VBbO3h!CW$W*8Y#F1i;472Mmpz}FExTl^EbMD?t9L@iOj}=@ zSs7Q3+%&bhl4&sSsx9NnZIiDYx#iff?5G6qk}p*Xy~361D_<^hWq<;<wg#yTlgqv) zCMTp)*xLL9H}!D7%2hUTUm_{DtoMDcQVUa}N#@F5f?I9XX4)F@_%y3AYc{MfRZ?qf zGjO>aEG#v10mqS)6DK<ic_j@^X1gi7oaHrS^p{GtWl&%F!o(zL2CwFmGmR5hZZVXY zxa{O211W=9{+Fa?n%Z1exXL!gfo+C>ipj-gP8FPu3~HSl{RJB*w5iQtTQ<`uS1ohN zr`eucZ8;|#O0@~D%HV8vIjfeGRb`aq>+kP5`N~<J%NHk_O-c^F>~Lt|Rsa8gga3wx z3S1Ue7G^P+X_COXOjub>t!Gw}$pOxW89oeZGkj*uP~$jp<m6<Qgl2|WhLTc7CMHKN zvm7)z;KOk!!DEpN%Nb51!G_)?S3X>J^;cguE2}d2meK5xFJBTpPCg4x%3Nh1^3mjj z+Tx=&Q~r8<SUyYm(!5#oCmL&22VeGOvYD}R%RED$%w@BLC3t3K244=oH9J^p`K!uB zOVpR%_qZ55^HF_%?X@#kRoou$T@!oNS+jI^)9ecm?ES;c53WCS`qGK27kff~wfj70 z(m!r}bNTm=o9_2d&bAL_zp?M+i%-%%zw}=kt*z<hF?n8Jc5BVt9{;J&zrG8+nYrl7 z-t)1qKU>W@#eU@ey=~XrFQ2zqx;;AIwR`c+7t-}&`L8t!G&Bp})<=CWxz)W>{*0E_ z>XYVzW)h|Um%4p<^scasZ*}VBcb6HL@tl5j^;Nk~!7MB1qBf5?(e37{U7f5c9?nk; zdU{tX7x{Gxc<opl@L*y`kf&J79YGzB&DwL6G+H`ci#+x<wMo3#>CDd2&?b0sk25>R zA!m+`X>EJ~KY0`vc`BYvm}J;3GtpqeAtrHW&WuCO>@Q+DrbHBYaYTqrG!e0Q(&=h4 zQDmBmm*$erqcSU^)?{sJU3F~#sbjqwQ92oSQ%V#YX3hwG=P_rer)9kPcbPj%=dHse zqy-pN^7>aOOh|jo(x<pC>GIut;TIu6+a-?fIHr5dFehN4L%>33g@q0$Bw4vcGy;|h zEOcrGF%~+_05J}UXtroetP#-&SU4dCL^?Hq6|i!N_JnbXXasWvfcY8_O0xyT=xKCn z<r3`)7Hw+f5&;{#KqKG;NDj$(s4Z|R(V#UMNrSRT3dk8q8rmG4TDc@yK?vj!H^&Je zyI{^arVX+P**Psqtz06?A{uTQ5QoETVg&h11M1&}K8j#&0NlSCT*tHpy9;}wdy?)X zi#?W@cYpmQ4;9(#GntaN-+g+-sM%qXr;tgfuYkykBjSG=t{JcUqZWSjhnC9opiT}? z>4fjg=Y}8KxaYj}vlHbUXI}U;E!GhDe07GvoUJi;pEuV`nVQy~|NS2y=M(9Z|9Wjb zZa4cVJQQ2>I;Gq97;|&(*6lxvqCZ`_|EEfN-{N`N^?SeTt>&7)bjSNQfsU!CcYM7e zY9H-8Q}s^fawmZniQ6ubMP2h#wmiCY{&h}{ZFYXpv389O=l-silAQTLEl2Na`m1Y` zH)c&&5i<XA(Y3l{(YKool_m?A_Waj0IhW3>V8kXCl<LPaarW#NR;h)lw*nO_of?Xr zSR8EpYk!#<-*AsGm9|)RWA-D1=Z?FTzAShsVG#V{1ovEqHG)s)u6dT35VD)aIORj< zBf;LHWr<3zf6s56sd2?MCakGhs;A-cwt~q&(wO%x)7N`(VD^gz`g6QPmR6phTd&YR zS?kYj)436Q!qhH3=S+~+RPOvZVdr6s+ta_VKQ-g2k9N<|FCW(0r%xz4_=+RD?fUAV z63f2~s{0Dsj`x_`3N2YFu|t6U>@WNI@hh0Vq~?9|)$`fu^iyfSqMrOurDZ>w9`@gg zDNsst+~-tuV8R!s2l<tGmh%>KSmfT;o!FXNTy!$JSmyi3sd=?^s^K52?tH(#(t0*y zfBdEP(-*HWIymI|ZTsHsG5gmGrbuVG2|p&+`Z4ZT58P!}r_-Oi_VCq>hl(98E;z*0 zeX-)$wF&>NW;t;^a6Y?u*XMHrp*%fat64WnTt4IwaYJa1iQ1hG-hC?aPah{8NM4(t zvfg0z<eZ0vncr`R8gE+CW%oifG|HgV&?$DwtPbuUPQtA=YrMD>I(K|^aGr5}zV3wJ zyd_sB-ki43RjzYhda}iZY>x1~iuK~084Pv5&ObeSTTJj*PsB&nj_0qgRdd~(V<F^L z#P~Qspeb_Auarfd(yoioS6^g#s?{j0HlOLpzf1ZJUNXN}E~qWskp3fBH2LDXJ=QN+ z8vL)!`z+AAtlGJ~Q)5ed;>j%nY4X*JXDI*hh&y|PZ|R%Asw;Dq^IF%=R9PVWqh4h? z(_6J;FS<{;&(tpOe>8WN_1dSMp$|_j6IXsToi8*hH%fEccF82O8`=g7*I#{-e(~j$ z+Nb3T$KBURv~5>rs#bD0;$mvuWt!Sxbt>%kZmo51ejeU9(IqsVVZC7m-|5EpH?BP7 zTeWwYP`R38@V8k^ogTV}vTE!nA6@3VA!Vie`Fqok7N@z%#J?`R&KOuZdBLM4eG|4w z#GG7dwOsez{4}<k_r&jUZT8!-@o9rWSrU7I+>zX@qvCs`O!Sy0ifYM)ioKIJn!iO| z@97lz08wvd(=t`Z_$pDgWP9cvhXPA%ubjybJe$n@q)^!5;XL8Zk3TN<xxL5b+L|e! zAKZ?23b+!v(?B-+-0^U>@W9I_*?WSP?G#AcCEj^dV>Z*~!s(2ew-{cgn0ghiSKsCD z#OKYDJn^fn_2*RIJ^uXxH_!dmRVy{*5BtZd{WMp(@Ata;6AacRVMY<!?+%~&(7ubY zbnd0@m0rA-H<+zO>KLwZ*gE|zx}F<&Yg3D}k*nxY`5B(GK0UwZ>Jsl85Vu|9jD%DM z*8!L8$+^upE}dEtd4q9!aO9r3%C3zm*UEx|CEnZ*k#n3P_<B!6;LlR7ghnUcX^zbc zIq&)Qn_W_woM_9w-kag-B`yQ0CbNSV@^0q0FU;ilIbFxHr)d3$p8ZDi6;;|c)!aVA zv*W14F26;!$*FAue;jUeEt$MxsqF^g?~ha}pIpuVdpUV_!D9QhOV>Uz73}rXJ{#b( zyP){!tUPIhqRZZY`Oh~zdN9X;>DRRhQ{7X(T7_1`6z)5F$9Qh)8s=>#55937pK<<N z(@Pou?JHM?^Rygln_lQ#w5)FX9sdQfQ`2)Bmd@|_W!@-p=~$4qgj?#bg9Rds>i)5> zd1lZ5U+qs(&9zf3XV)_+TK$SVvBWL8pKIFwm+xOc4Bp>3V|)G;&(wEfAAYAt3Vr*U z`Q?nIwe#2C%PTv+?%&sI)V_K{&%#ya&NHRHmGc~BIQ0FTi0R+0_q6q_WOSZn7&p5s z3e11xF!%d{=~Ih7Y>MhKTJ7bqx1fWy*z}+lckUm3iJN>qKJVE|yDJ>NYzhDTU;@{( z0;vbH*)+u49oOAmx78%B(4?DR>A{wquACm1jrWxrc5qI*sXK$?U&Z>+*5IA9Zz#RE z`gPTv%E|}w>7G+oC3>4n?KD)s#KQF}LiWJ(z0TqLe>a)kVPg8MZS$ck@_x5l%`0bq zyU#mRq7RiF^V`)T@%xtZWB&CmF7w_R|MBJ&*Nsfk@W?GKINsN-|2>G!zmxywGWBD} zrSyeoE8WV?xa|2t)I#Ipdc~k?!v0r|ZH_$>xX-BX)217f_r1F!Ug!6(xcV^9l})G5 z{jHvCb24JiOS89?Q>xu>2Pf@kJ+Vdi{;|*v4-ST{<>oiCU*q;wz}meoqDOxHHLfR5 zdDkbsY8MOm`zR*hSTq;Ech`jt$!QJ?&%V;uHV--_pM3AJ|DM%G6Bb=BKXc{mw#dxH zuIuMNcj|19_E>STVSTvMUHSN9_gn+g!_G|Rv3*@9=>GED6eX!dgB=y^RxO>Sp4}0$ zHaFJx9{MlbarE8Xt;aNuP2L{pzRj@c?iIf>z4@I+p)d2FAK9Y*c=4fh(^dTc*!?PZ z-<Zc$G;=ol$zKW4>r(jiwO?|uxE}j0chq&u%j|iF*0=IYHS+JuVxOga=*|99n;cFQ zJkXIX;kBGKf93?scLyha*ss8S-0bkwiyL!zczARbn6BwI`_5!%`>eWa?#@>;CGT~+ z#eAByA?Jle`hnEn+}oAb1>1Q~Y1)^#pgw#0o!LgV%tntz%YB^c?VIJS^?WlW5~B83 zuh{zHiDSgsl%*_D%lyhuM=+Y74EXJ<EHh(6sex@xAXnR_r7vG;o{npZ6Ik6?u&n8= z+wQ31WT9Q(`3&u=ZwkquoFY40twP{WUN+P6jYq%UT+FL4&?~s8v*XL(Pg>VjJ(CSz zIDeYo<9I>&;5%(I=O&z$yr7}m<tujObIN0-im0vLUIBG8bqgL_Z(iT|`&a+-XK_#2 zk3>4g%P!L4VR=)TtD|<y;g9jw?VI~{T)G(b{FLIfzaQfHxY!KCoUg=AWbG_Z@5m|> zE{a`pzt}2bibVdtbGwudM+raPl2~&0>@K-C3*N53AR0fLVa-N`ZugLL6A%A36}0xB z#`I|V4dHE79+#*8H7s9#>dX?a)*gn<m3!o`3l{okloo17Y_^Xvcq`6zgFE8DyJCY= zQ4R+A7PH>4Tr!tAd2OcG9$rP~j~a|Kl8mP){@j<ry5e_P!-c8|td)lyPHZ~bwYIg` z?c<{BOCKG}<`EXZ>f!KVR%Et|gPu&Om1bc-f1gY2YuCT6yp4>y%Dk(Ys)KLVJ3GB< zY|P#{Q)Jqk#Jt4cr5g?fPgiGJ<gg_%Nsax^%4vdvw|4d%S8TkP%ET10Y-Q}(Yq^O( z?A|bDwp`uYb=Kg|jUCBsa?Vi~J2seA-@lsX6|&?i=Ue@Rr0t&<Xs#{ku?m}NH*cO= z^1`Or+uX{rT-y@DDh?(s3CrJ+>6djTP3!ipH523JD;fr7f7w_Vb*V71GUMdtb(ZZK zfk&@8@Eprx?A-DA<u6&e{r8{5*Ufvid-?e%H9Pl)%G*zWy4Kht{ww#TvwL3D$TLU1 ze|_yjR?&agyy)xSw)PoqH8z^^?WWGObG6f!tJQ^8YsudE=XQ7cV&5edmoN8jyQ26& zu<Y{L8!z(z?R+`4K6J{R+tWmY7G~&derxJcy!5AO5>FN1Rd&m%tW#wd{XM(n>$<P= zt!n2x)y=A}jy|66e<|9wF!fJ#$hq5>jW#a-7+pT&V#uYR3+7!rF#TA{kE4xy3=1lb zy>VfA5q3ay`BsA)_h*!+ao6Y`bQXWG_UOy*%d?UMcNpk9x(PB`2{R^fHz-Oylb`qH zNJqo^wjUxJzKAeth)nn(rqIE%c}n6x8J0OE$Ncn+7Opf5`P(%unX_w|VNl8{rOC2E zQ)Zl+wPelGD>GNkS#lzz)x)P{PRoffTk})1ra$%lw9JE1XsZ6b72&KCXU#hQ^Zmm= zuTS^Q(Y<$9?d(pq7y2%7S0^8OawjHaX3dVZeMy@h*4DfFgly&(3uG>MskNu$SgIPk z;@mRpYm<JP#OghLzjAuIZl}-w>bH#_a~=r)-ky=*_s#6p663S>2OGXvo<C?J#jDzK z*tLhJ_F&w@2LXS~zNpWA{=1YXIGR!G%}GtYce9iB?|#a2wIrbCdve5z&DR<ddHx48 z3D<m`svFTV@7-6qKM&U~ekT6utl`y|OV<i#8tyc_yfM<dFSOYDQNo_%#@S(ZQ8Cju zHoe%(z13{`)U?<MyIVhbZ)KCY+qvtxY1aMF_o<QZGL<anZ{}Vq-<iad{y6T#0`;q# z%zy9FO0-Nren>y}xBD|mXQM~o(q?+;o|>C-wqH;=GIvht4f~4g>-K$_rSG=m=&5tN zYkS=E-SU@<Y~ORdVUuJ0{S%&zD|PjbG3U)cc2U(x-fP3c-EQqV%HNkf3e~TEGwsrm zb!q>ft54bYXqo$Jy;=V{n>Kg$H~4Kbc;?o!Qa+^EJb5MOw(xnq@BeQOj+`=K$=hq2 zp46Mv7llbqu~+-EmRqF7X5G)gZn3#PWFDP+x5Mw#!AY;zhpk+2TJ@#X*$`{hH_JnB zY>wNzUFN<2cI*22%iiv=y6kedEd1w|FVzo{Km2$fHP6RP&(m30*lB9XGmm;sE1jrG z=l8oWD_UGuek<-<^7TByt47N|xU8;lliqm7lC`~T&OG7fX^ZcjJT}!<^n>l~N!LGp zpHb`V)PLh1d*FGuoymNDsbv>$@vq6&X5uZ`@3Zf=@w01N{zd+X<8hZ<dDSkwf7W^3 zk8vg$>e5%$HtN?F?akU@`A^t8v^{L581tR02L0b1KMOs)yy(yV#E`19`pa9YWwl!F z7Fx*$9bSHY#f;v&8HF2mPMfigDQk}U%{+ZWy9>*Fqg9H`-=5R|a@*(hjjP)i@9nxT zcQ@W6Y4zQ==I^8S%KSa_b`Ia{Esgs$j?ec!>zpdmJHP+Z%l*H<U%O-xcT`$%<>{Ee zFBV^0*D-NoxT@oU`TrNcl+U+1cUAG~osDlxYprEvQeL0fzjL#bQ<v^umvw4uuO^nZ z=gur-j{CgCb=BkAxm%{Zx>2k-TXtbZ9s4ukzA3u0e?(<B#jHzn?J4A&aOTObUt3M) zAG5uBb@tC^H;T1B+<z7OWLt08<ggjWX6x={3SU_8@AvF$(p^q!;kPTw!(T3+-ni6w z;`8#ux>DPU=T!R!{<vcG_oesax0|l*-}FcJR2Kj1y27%sUx!~EER8#Mdrkha&&5CL zcF#T}c;!tM*Nj^=7B|1!ip3tS7hWBIv-tUMX7;ZAT8Gu2RA1j#@l&s^B0v9_ocaDe zlXXSj9X|3#{~HfiTtVWY>gmkVKT>8CM1HG1Gr1>aPO0^wtkwUX30qD*Snyz4@t29! zucO^6y1wt1J!;#U<}6>kr>6CQM)uXIa*NH^?%aR*!GkJe_H8l7+4VM`tCjcg3bn^N zxAKIQ+<RFUb137#){oPY$7JU^moZKX{aa#Ru<65hiDO}Vx^=Jl{tKJ*X?eu=SqJV` z-QO{7X8ZEw6{fn@o-5TfuV1d4m-KwvlbiAPV|k13F16=ec+=pg{9?l?!Y38?%CFfa zx<92svHH%<lKtCK3{<ym&n?{L!DFj+OfBl&sx^yOw+i0g*!oQ`ID4j@-kVs1uB{f| zX4kkxEh#rSAG-K(S7Jw`zw3%QGrlhP^QJJ<#k_D*#Ka=gW%ot8!`5%^$V#|pF#VVJ z+|T76zowp@A1c2xVN2<W9MMakqWP124?XxMAyb^edHHOKyG7CZ@`Kmx=S@^U$(Q`_ z+|z3H+0S1Z?P=fE-gfKMTRCP`R+dit(rBq&^ShozNmM-FvEQ!G>Qt-F-YJ*fO!g~p zyC5YrRjvE_k)2&@X4E~_ZaTR3h|A`vE0OUV&m6d3SYj*dws}cCzvbuB*EdXdO#gN6 z+{3y5SGoJ#R*zWbZt*Wv&$+jFRbu_5$PZ;JUOMLgD{syC<R2k>J6fDmH}1Q(&UB8) z9~XzrslFJ0DRfWlMuQDjrb_PqO1~Htycl9cd`}CWPSqCwwMBZqlf<*V1=Y`=ZQ1ql zvlRDd&xE;;JvVgOurWU94>{sEd2al~TWKd5o;F8@Da^Qd<LQDHpA1uF?OVEA1Y*2Z zI8$%2=rJWsXmVo`a9ya<Vm3j5OPAek#{T8$EM=Tul|{F$;%a8vx7{{9XywUCBJ;G8 zwr^Pf{egJ6ed?<IDd*N2W<)(@UU1--QBKpU`tJ7!Tz9^i8Fs$7e{t`Vf9tc9R&Q8# zuCdV3F`0F4jjB>)zGeGn_d?bzOXH`OO8T>JCrMVWohaBWe2w8W|K3So(*Mf3Sw=il zyqCIwarQ^<4UuoE-o2=wb-VA&=S^k*52qOO&f<P?$kN+v)oPi0YiBK3y(!mf`SDhb z>ucKo)e5PeV|u>Ce{!eNr70ZFzM_rpw)fcz!#^nhcK>Df;F8`13&uB53ooC3BYg1H zo4Pr|BK{Yvqzr!f3eUYega6L~LAUR2Un{(4Mlby1AZ_@-cjled;$9YUVVl%@WGA*C zV~_f?{mbv{rOcnd&fFwrx4(_g|B8!LW`U5%;;G`kPd4#6XD@W#HtpE2EsrC&@O3NQ zUGqK3c78$k72j|65>uxhY07;pGw*z_sGls;lNoDvR`Jd`<u>>1@A=o`I~ISOclpka zDasor8NFa*xU^EC@6HVM%A8H75|}0Z=6^8xVO<iC_}935z3i204zc_Ko0w+Tj*K5Y z<~t{{y!mWexAtQ8@7CZ8_E#RP?3`y_dwA20de=Xb*<(!;3_ecwo*}o}!&<3r&x2DR zjG2A1HG)pmwOCwSbbEbFWyf}vJx*FW&J+JO-16Pc#dh~vc=xV5TPKA*FW7m>Zu-LY zVWxWPI?Ce|s{#v`7alGZf4X2}u9?xbBeNEzD~CUlIO_NCOp);7^YIeD|M<m-u}b*= z`8EB(6ISOYC4mp$bIvkNmx&ho;b8yi(*H}wnG$*y>kg}_6nv?cm{2`6CFIw(3#v{o ze^Y0^p3XU4IR3FFCzI8ImcQnn#Xqa2uQ$?X6AhRW!}TWn;;inv9crIGUc1D8w}@%Q zBF=SD^E9_^b2!{#P^+=k)#>J@jlU;;irze*`{Wai>1pX!6V@*N#uE7WmdTb!KJM$Z z7K*2ecz8YDeP`YGPNm7E4A&Icl<t_uHgs4`pFb~g*-2yG3(8OKRLo3foT2wS=fy6* zOIsPkR_r%Tt$3Qf$hTWe+5fcmzJ(_bP2c&<b<s=-t+)4mr~cWcyq%@@KZB+u@6n1| z7fx5LnsDmm;m)>~FMgl-E&AZWfe795%FqN4ef^6|Yd1Ok7SPFh!g<@eEXMWWoX?Tc z_gtE;N+%V3X|#{7pDfsLZ8ggWyJo${sW$tz+n>C*PG^x<pitoVkH$=#(MPA7hs2os z@z}{u6xny^Ny9-Eahu(@Ra{RBL~Wj$bG0*Pir7i7H#1oSP6^IRtNi-;`NG|7Csuj0 z)xIkHeyYSXMD(ysftvX-(MNAJV~nH%FDrkGd*T}-C*<)yw?VJ%Au9*_7k2x!8xAQU zx*S|pPb4K*22PjX7Wz2h!=)72=7NyKo3Xph@}K&MPd?XaSfLQ_J*7@vcCzF<)`Z{R z96#lFB}#6&>Rt9)yeTca(sAlRi-rW&yX~Eu%lA1)=bW$l%;B);3Lo>_HR<PW>D2LD zv$b6>?KXE;*1~UhPf4+huo=`}W3bX(>v!q(Qr#Qs2JD+e1pc_TGepa+%dxP&?YMCJ ziA8m+vF^5)^L`iapDDI-@A<orudfsLSr<2-M|-EVURuYuZ)LAdJ6`dfIqGY$x7OpV zGrMQI%9a`1o<=vX6;e<B{PBWw`yl~irko(Vrzctj-z6KUoSJlh{~5Q+Hw`VqDQ91D zZ*mE&T)t(SdF1ayQ}=DD4&9c^S>VN1^{=f)yJw<mRG)oIbU{?&@e8w3wyfQxx6~-J zXy??JtgV)RA2}P&>20)I6RFGA7?Hi$CBdIh=v@8O&M&W-@{<k(i}tea{FnbSWOk&r zPS@j`*&LU}qjR@!yHK&$Vz+7Lv+0-3)?aIVeQI;Zv>jW|f4tguXhP+ZSd%w4jf(FS zuH0_a=VbpOrV?CrzDek)djQvw8jodCSuLqD-Ha2|X4`z8R&n9l+g*0+9vnQ$c=Ph& zEo$4f!}IDdbgLu>L^8kVo~pg8uh1)D_xJhdcbChD-kjT!y*4_{!%Bbku`D;nu!Isx z?b3xgOY6io?1=1O%(%B@zm!kkVV&5Ga%MYHcFFs5<R1LkHs#~>r*1P(s}}xuEZwKC ze@O0(r4IYw>XyWt&5tTFH#<C^`6yYd`^ge^v3GlBKHhq0&Ix|sNuBu`6Ri~@yS{i- zTQ^QDy~y4o$766^HOhQTk-GX$?Hl|o{2z~>R4!kjbJDL&bIS71*0C`!CwxEiafP^6 z$a<%{abAjTk4ptrnCr`9w@CEAmV0KyvTmorlF!i>809;IuCx~1QEe2Ld$zLOTcyPO ztdVGrcV*_sJ!Mu;i(*f!_Fbx2cSNo~%d)~YNpB|eg}NIVNecrM8D_a{%RBK@DDl0O zyNz?IuV%u6gHF<a%J+q;%P;cFJYmUvvt@Ge@0CHZcV-%|*!=Dq+tnootV>0AmLE&p z^y)aLKxC8(%j{FC`(rh&9}7*^ikv_7WXC(bBaYD@+|vxLTa!L7)Cp_REL!X<Cwk7+ z{>G$-zgi*$^A-wy5ZWjl=D~8Oa(`2`=2^Yl&C2_KgfRzawH}v~|NCNQX@9)lQzgwe z?M!T|%iroZo>{R$D`s|>44XvtqN)zdgVUoQs+3;~{8rGreiDz$w&=<iI!x{l-*_bM z{C;@P&WkIhY7=#TyOsr9{<ogPKFjv3)`s~SzGX`_q+PDC3v~SONKEQwTJz(fy=#)= z(oT8VOCMBtErUOV=)Zj5zBiu9{(y0{*7pSySBNpCSxz*$)BI~+Y0u}=sd8)nbIXZ7 zDvr)?)J)sH=>B^b@7(qASCkUJ&-g99>PKA`7te2lng8ENZYUC5nm%Pi@S<5~7S_3Z z*~64^_VcBTZ|^i7>3#CJC0KKL$uvLH!XUR4&h=-FzW#oqce`5U>wyfDT(^{2_oNG~ z<}6<r$X6)4KY%CUZnJgLaV~Fe_ujA7x7#H8T6NOXc_&=8jA=c}y7%3G`FQ5cSbO8` z!I2yr)6_1jKU{tP;VOd~(ajdGZ=PN6JoU_s?$f7hKF>TpOU6B~etp$%!JB{ITkPDQ zZ~bn{smi<0=cZ&zrApokdAcdSHb&8PSG?Q(msdP*#yD@7A8$IVfBn^~FZOf2c{Xjf z$FF%>k?vbAdhT9!*zb69;Xc)wi(}VK+j2*sclmc|_7Y!hDUU50A{(`qz4<P@@V)l4 zsGLQ+bKaeOeQm-`X<>f8A4e1K&A21|*_^Xw@@n5MKjUK2;|a-CWy|EGo+-^e*;70# z>B5~E8Rc$z{bjlF%Nf;f8iY*O@_e8!t1bJ{o&R8b`+?=03Uk{XmUArFz)}z~W5XHF z8_qHhBxV)$I9hrd_e`EKqtm!2N%6GB!-OE01KzC%^~AX+J!w77n97~nyL4mZ!70C) zJ!Z_U`8NI0(zU{uj~Vbk;eDMh(lO!Xz1C70(L2?v9!=RQC$J*;;?excZyYo)9@0Ix z)8@XB=$)m?oK~Bs6*S&<Z1h-FaC}~;+@A2g<@&4(_t!1l)A(suV)8L@t*4uh3Viw| zbNpA@WRIG+0h^e=hJ3u+yf=Twny#~~dc405*>`;VeXPybHsn@<keBgU?xyTz(@#DX zZ{F3g=67g95f8&pldUSpR}>|2JY;)O+u*n65PKkFU#~HzNJQYF=Se4CTryY}=B5(B zW%j|EFXfNo)E{pf>{4VEGTsPPzczUwH!IV9|8mE&K$rDL`UP1RZZ1#0@uT(O?0scj zua*6o*R$VM<@-8st&)w;<(>-Tm3~WfbhH98^PQhFl{)%Jy?E6fmc?tcc#iOFDS1P~ zYrf0+Zi()?AgRa1!c$n4xhDFy>GjQvHtqX5eb=LV%9B$yW=>@=R=Ig!aoX&d+ZBe- zP9@cy3yoUPc6rA+fy4D?i)QthBrkPZQ6F9s#jx!1Stt9tm$&EmE6lqoz~SB%R4*#L zR?2S4nw4z6=lS<6?bUy*EG$~9c2THNaz}QIj!8*WVgu*qL%Nnr7F>KQ==}TfodfP~ zb<)`9Df1aLem?b!CzyAGUxNSQoxjRsOXUL2&XIZeriRHesN!W!@aewO^Zp+*n;^a- zuE)Vpkwf^!$M3KBdgr!qUzzzweY5f%1H;Rwy^P~7oq8`5kl=7Zc*g|e3g#b^woF$^ z-TdI+32~{-i4Ie5Olb=1+TYmxZhm*u^V>g}7tB-Ozb5%_ah!8B&%@0OY_IPw4zy2v zE%^54zi$hZH{6nuyXntq{Gn<Y3&#_|*2P;2ZaVP2HJH^Tw*Hu+?E5L={T8`5x--0X z6?4XIDUnZ(o!+6;d!fWuMbL`Xr~K;)+ZU3_fy?H^u(iEWyKwK&>^ZBVi{$=FPddt0 z@Ou8l$s3JQ_);I<6iKsP=d_+*n9uT4Wo=B?ii!VCzs9C7eR+Sm`GsdMeKhp7KZUj? zRzH*M`Zv|^ScgtSu-0<J`+;{>Ntrf3De~1#I}&a$a4W%o%7T4CCJD(lT3qe?D{U=j z)L9<aW1YFlZbwaf`nwbxHUTT{sBr6BmGk~C;OEGQPhdWjwAe!BndG0issquHi*k4G z7Osi7e{3D!!Py(v7QXxNRpnUI%wvuY+?AP18B^!|S7EMm{}dpzY^S~{htM;<C91mL z>ZW~~Q_OK$d*{ld4tw^SW=BXLOa8fV>h+>q*18b^h1qX^#~!Wy%6_YI!BwS}prz*D z7tA~BBd}Ng_~a6wn{Pj_iRJhE@N^kl+4&o%Ck9WvbFchJL7jU_F0bg?*w<aF*IazF zsZBXquQB9(<W~0^FU1}fz5Xug+x2j1iulCdPk(>8ACJ!dn(8ofv+k$5r}e2xA0+DJ zqrD@qGyb}DUtGc9q=UA2O#b&0_Ad`VEGz0*|7;D%!AFh%j;)IKT_k$Iant1w#tTd` z&Ho#%s6MoK&iqTx-s|{|i%ISHd&y~?xTy8X?xw(oLr2c7S;EQ6<9pdM*-xPUOQ58D zj*k<&kg3;|vW>TMMDH}ot#>Vm5O!Q+C*<CtoZo)h?)!3HvELcn_V^kb_OWk^vsV@Q zKUw^ba{3{;Mc(GSm0fk#MhaeX75cD$L$R3lnGd?=2Ckj!b~_ZWKB0K|b$(;(q-Ro| z7L2|6dv$^|51tR7u;`G~uVn8_{YUKH#RPaRt34$8Aj`odbjr1P4NA9nw!h2p|8~4$ zQU0a7?$z9O$Gx&MZCymmQ;ZEZJDj|8J*h#8)88@T0!yjfwSUrO`#yKhJ`iEPqT}aM zhk{LewLY|8-XWa0=!T}05s$<x#qAGXHAyPAFp6A0c%x-v!}*4ns(ZJrd6q8bb?V!3 z%b9|AW=`tnI9t6sF6_|(p{bjH3;dt2@~Xyi`=Ku<?l82f2P)2+xvxNYQo#+yxQ5ra z)^9)gT+vnV^AD$$J?<uU*F=x}d9y`fcSqho!Ko^jN-Wt@UbKA^+7O$0`gzN)Z;Y~+ z!~b%hY5cr);?c)`y;DU+me*{|({=FMwMew*)H2l-&vr9AFZ?yvS|IqhCtsDl;*EgQ zI-541t7M&eV(QV^_cJ(c_`jPaI;%F^_${>T*n*{fG9rJO{e=HWIxWBXN&n1>`S!XI zvJ0o~|545on{0OA$i9!y*0CB$K6A?cz!xfZGU2>Ik?;32rWbF$xsaFBBGHg<K6kCu z-fvx7by$Oq|J?mD_qHM5p{F~)ywtfj|MfBNqYqZxF7?;gcToD&lo%sVna|JJzcw!9 zU7&yUk#I`j55?|hKRNzw)LlQ#_rcr5wbBYIJRI#;GpDwEP7Hk7{7qbz-{j|(G{>(| z+SAK&ZgziS`@x}HF#We*L&oMaQ5w&DS|om%v1sp_B<$k3K|se~>C8*4&0%Y=9b75F zW4M<y;b_5fwJ)3hChqds7}B_H9lz*{u6Tn>1&M9{)s|0Kq;-f-!~M0+r>lC~ld_+_ zJo}@`s@U&$L+h;-=h@bUn!U8Re%OWS=;{8MEsD#JCCz{7G<y>N+4~ZrUJiO|f9fn} zxHo%?Ny*W=iiYp&Jx+w)S8RQDM^NEGb<S5KiL&WJ+B-!bwMbmwow>H~pV@}|i`RF2 zVfl37s%2w+_yfD2M;-nxwz{+@d`8*ppBl5+9J`#_oCO|rFiYKMG-P{vqD-;$K&q?p z=ld2<?!O6@b~ty7_qlN8ZMiF6NmEU2t!ymi7L;)v(Y?K7rEMp}UEf(LoLuvalu9_b zi!bu+@RlyjRB90X`d>Kq<~IFzd4Y+}b7p+lGfn9fD{sjMA=W0VAG}kJ9jantFX|A! zE>kSOKR>{wkxSVl@1OGw?h_T}tPJZ)*y0p_m<uJiZ!QbdH-7V1MlI!y`|`ZY{TYoa z&(9WGZ1K}5TvyWk;k@lG<Nd-f{I5#Qm@`3YY0bKaSEAZt8($pMcFON(6PQ@=Tk)#m zgkt_Hr=K}-pLqCwKD(vcg|_+L7tA6L?QlrhP;tTJ;7J!*=R@E7SLJM(x}@pX+rIAE zGq#;M@cPqbc`l8|k8AeZ_t$50W(N1|x#e{DS82@89en9OXD%ufT(NiJtPcTObK~pQ z`RRXu5|^#5zh2|XyB|HX_10|ZIq>j|+vk#Bv3uRwT^D8gibvbd-F+ra;ZI2k&%amm zPaW&LHrulEU!ddp%<of0EOPFcrQ7GVT{|-`@J!X&>@;obl((zJ-{$8;U9m}T_V%uf z54g_sY~fWq<EWRDE;pQ)+>*OfBcv(M(Ah#gCF#l2rP`Y6G1Fh>C2Tl4Lr36_Xh($T zg%-}QTQ_zezO&E5vuE;@>Fa~8W%)Cjds?m!D$m>-6t879>0!`RUh__ilSPwfO}$hQ zl$d<fP~l)g`+^0X4AX=gorD=Z1sz=k8}(G1rYSQ`5M#B_<1E;rdg#G)?xq>4ok4#7 zn*0C!WS6T|@7-TlY{A9K-!wlk-t>!C#s>e#l2_N5pUhwWzfEunulL&%zDsqj@5xKt zD>amJ)rkIjY}uN*Z}vEteqsvNZMNL9Znj8E!BjVGebEs8%ipD0H>cbz2}`x(c<0Mo z*r3s`n9V;&zRYgY%KQ6cmwDSM$H)7ri~q^iQBuflXWa8nqswTEiTs~Q?K&It+;6Um zyF2a33-?Dg5oOuWH>io0FP#!4w8Q>HLd<Gq*V*TC8bda6$}OFu80I&9&;2JVE4G=$ zUhuQ?kf@u%dp77^x%IS_YuYVe&H8^<(EO&d*eBZ=M(L_~$4VSd+`Mk6vOpzaS#7@2 z7WS#z`0XqH%60O&uM*wjbHA7)L2`eR%D0yrcL+GJKh0Q`pgUPWzIVyWDDTIa`WG&A zrA?5lvwqmo!*MP<IaHT%wJ*p2D+bZmlqX#f^_98UWTMNRc;CV0*rY>SvL(2FT@1Mp zw<$pM;ezmfR{_SjDACis>TjebsBh#xDWP0i$00mR%rEB0(yP6Seo4Wy^NfEz;yxvj z_0_<A?p;Tf`o&z=6rT1twq|S)fBxwaL#XLflYoqmXZHw2PD`Hk;lFEmqFIo~x=fCx z)n%P;6Qx|8d}}xtxa%(TIBM8_$-w2?&K#>R7o=imdx<|cYzX2p^zry06>PM@GyH`J z@B621&-#@#b!I=@x<SgZI^)2W%{`*VwqgzU>Nz+L8tQ7VP3U@%_;gG2ZC|Zxn|-;q zE|mCk@%iOL3sp>AJJe04wftvd(B(?{Ry+T;NU)*E<^&awOKu*CG1sdPH%y;x$K<|< z$Kz|TsB`@3OAT5}CfxFPW$Aq4kU-WZ!#ryz38|M~4#eD;`pJVM;Zz&PIYW8-a0c-! zvkqMgT(x~d*nLO+e1;shqt{rb^D^Ff_$TX@_}giB>}qf6m|vaCv88(E);itb{w+1) z6RyMtx%o^~Zrn2OroQhF!_5tjLW{)jeoqz-Jrf_H!Cl<YuX@0<sqbBkCqq$oZiHc} z?dCP+IZfTs(<=@na8z4VPL!}K5ZJ!;W!voibp|||obzhd$o#E-oNpl!_j#&r{$9Ik zhtvGij%i!|`L%xPT`r-(H7or0^Gozv?Ko@d*V1!g>RkJlADdc>k4;uPAhrFEkmjPV zT$!b|d@}^(BYe9TJATXk%lxnFe}Vqvck39pn*Yc>`XR+NXszvw<Bman`Uy!lgPLbZ z?>?1a*Z1M$4n8kIu~~04c^_HN<^N+B5U^3;w!uA>%x_1;T<j809}w9p+_d^U!@b_) zV(w{s7;}z4RhN#t!Pd6rjM39oqLz}sFNN9e-}g!?cK>!^Ie~en9p{?5PE+IEWggQf z%CV?*$6;HJ!x5Yc%5hV7HaIP=xOU^iiJ(o&%xZ#KYVG0Qy{Zi+Md#FWepuw7asSD8 zrSRHyW!fh-O*`H*oo{}bVB?r;8U2xA-z0sv2O;^Fsv_<rp1)e;%_fq_{XLPTMNBla zihmpbG?ABj-e<UGwk>Pr=WoBmDHR@Vur|CkZ07?fjRZ07*GDGRHfn`bb4agx7R%Pi zTA3Ed|4%)l>Wq)fn!uN9q}M3v#q3h33VJ>7-k*nw|IGg0Kf~3gbK!xOiMp%X^7qO$ zE3|#jpPa^ZZ_Aa}f9CA%WIOlppqu&wW}dQL3Tej<JwF-uWnXdK5_6?rY7>GEY~A$o zE0<F5hgFAKDgwJ-s;@2J+oW-Gk@o(!ggN(*wu_j?-~ITunET*XamJ9fCwkXRGWJXf z6#iSc@@AvI?vA3f|BeWV&X)OmFJaCn*}ok|^VZxKxt=IKxnH3E)ZAB1JDfIbE1!6` z;@*8{D+Q*wPmVFISCm{$vQLP7O`LMhW94Ecfs{X*?g?CTg+3R`{=3NJr5mDlhRO0^ zh;U8{&+Vv9Qp^3fK3OWGT6l#?$+%Pe_Bxg978(DTN$pE^t<XJO6g8)2>ZTTf32jc( z+vj*io;#QRw<uJ7A6K{OonKD``tH1(uvD#BByxi>-vUMRn_le&EZgpcYGm*R-+nr^ zVP{oKgW2y2E)$t~0q$FD)q2D@T@BCuidPDVxt~+&`aHob?%JA${QVC;dbM3#)OX<2 z%~nn32+p&1ER&{~l?yL-%uAf?_PX}2)a;yPCe6nTE#~j-e<W9J*z4f>FzB?2_A>#^ zlA1Eb1sTj`|JVA>*=3h@Lm_!fpPZDvW=!G66M?e#<t2@>rWUepdm@x|@Y)H@36~$f zjZH|jVF^}oI5GG7#M$?!NHm4=)rfHNJ}s*1c`hK!8^U;Xa;ZyDpy9FovP<(`?8%N_ z+a8v5)RXl@-^rDB+^4@-Et$c!?D*GihFypDY+APHU1|u+x21_Ea#zmWzo&Cv_#(cY zH}pzwN^OtOd{!TSa>d^@Tg|<tv^;J|*&hs9dC<>u!X&3BJcYL^mVYs6F1;k~XvMfX z>F|Q7EAC28+o^E)6<<TDt?mXb>Effw$yN1@k+ZxRW=yZok6@Zn%yFoG#fHx5jQbv` z>Z)dPRE3yb-8WB^g|jV6I5kt-tx-(%*h*)m4Ni}5dY<XIS?<>#;iJFs=1n<Ee|~k_ z_eDEqdUTeBdi(Gx@4m6e!>MCy>Vabdg`ay;o?1w^Zk<`J@w>&Yswi#xl)B}GU*{SA z=2e@eQ6;L_*3ABSneJDH-&}M19@v-|pWsqW`@~TAtli5bI3+kkJUsd4LeUt8bK=`V z=cj%?WG<WV#&c>;&gQfQ;hhdmWhP#AEQb~ToqFY)-C#Mj@ZpbM1ML}{udaSsGp#XZ z&NmMJFRfLX&o?hl>D$$*BI=qSIQ#pKgwmyD*1M*v3QS$N<VHLD0>9VGeuS0uzwcb0 ztt>6`*6|7F+6zgn6Sv*#4QpWaX?5ROX`!+1ea)V*6<>GDo+*8~=y7t{BZ-+mKYuR} zHRst>=5?yyKYXQ0n9+>)o0)I<PxdMa`LKMU^MjuKVs=-ie>%7<aCwc}sc8YKH%h!D zw;yX}bT$om>bcQY=#S&Y9IZ7xayu-JF=+byKK-$=fN|IUw))DRI!%WyR$DCpDQ*g> zGCfpW$NFZ9af$p|W#*?(C9-e#d#b);-teDMQL=Np_x(6!1^ZsZHM6#Ga3oawEVoI| ztzi5AbnZign)TC<Im}(2qU(D6Qf9;B2&pa>_q~GGo;X~+(0MRYC~PTnQBz5nqs;6r zdMO<(PQOhwG$!X<t&Z<ef6Kq<U&)N3TiY*NF1KHhaXM<g)BQE;S9Z*as1sTJO?XzH zfcF<ImhxHKO7gk*<i5!8l`AZiV`zRGtdKgx$7r2ER~BPx$X!<T#;kj3ho;Wel#gHa zQT)*{yKmX`ua8!_S|}WJ3t*ZQzUpxtXWF}B_V=f6J888WHUID4sWeB!Baqi-9RmRO CK|AOG literal 4104 zcmZ>Y%CIzaj8qGbWO7sPVi0iqPY^udvx#K*dCKm-y!*}j4Ezmj&(F^MU~=U9E?I_f zKU=1ijApY0ZI>Li@yTF0=+Dd6tohP+nU8SB@>iKFH(WVra^=P>gV~-oYRe9qbuRYY zY9D;jKXb9K=B6smEf<@TW^T3hxvaTzTd?M1M_Yyq{ho^|B^^WkO)~m@g;`B5d}^Dy z<m9WAFDJez@w@db%Ur~3=4&eL`PAg%vaA#~|6m2SUa5>E6E;)11s6^*Ur9-kl46{2 z;j-fbNyb+uDNGuPQbtk?y*w+IUAY`Man`)a9G}##T+YhK6`bWCa8_^vLk0sc1LN`) z3~UW17nq$L*cwixFvu-nVEEL)?5`QBaDf3Ukb;RyzFHM(WT3{tl)%8ipav72!Qca7 zG8sUGSq@C}XiB-*X=pHuDaqu^jG4A3SH2ntr?jcfl9FWO_{!Go%eZg>!)0G)w}zC= zWsM6M7#MgN7#J8APIh4HV+xtNU}}Vt*Q%9Ft61HpdU?3Hy0n_`FzI;c3OF>1CNlBr zc(N#5=w4f8UAA}o>za3uPZ!C4_cr3ozjN}#e)+@?J8GE)znA%!@A&sU_A-mgCoh>8 z(cNZWE~!l`;k)|U;nd#`^Appz)-5u;=N+EGqrw}kd3@Hq>BsbMi?Zl?l$czeE$?i& z(?|R2>HB}S>GsvIGOkI#S-zaP+_2PY!>ix5qR!qz88@A5c(hKXM`*S$S)}p8)wIs` z;-1dVdE1WWS{4-S<F#=r<|w;ek`w#1fBM8&qf1&_R&nyY6+b!k*fsI=m;3m)>%2KO z*-gu7#ntPJe(dJ#n0w>LR*iX+jbCuJ^7UTIPV9bi`02r}m?Oc@H%}66?NbUk&121M z-gETwu3NUZefrusFTCuCm)mBTU$*+B-K+9v8Na7{Rm@zq>r?SNBgStl?%zsh<5m0m zH~G%Zj>ruU&iNLpaJ!%3G-!KcyJZviPM3v2l`d|PamCy0(muC{-iXV8Eo-ZrytG8T zbH~lOmup^ZuDQf>(&Crzvu9`T+V@C%MTPlI(JSuT+x#<Q_Lpmtm*-6t-lV%FRwmi> zQ~zeEn#Awii(gr}+S>>35q^49J<)ekqxQE;A~{BFA=ehi{676-%AKg+CpSu2$#$^j zUptb$BTw?k!R4P!^Ye_8<)7cp$^5u7@79gCPk%fr$zL3<d+J!YgIs9ckpsU@ZrUW` zaKo@+vVFg)u<N?*sh3|GiSeB~a+K})YTZ-89}aYM1ngZVm-_G!ccb())14e|*us?$ zS+1TGde6<_+q=T=t=WaX-`k(9zdp0_XjON!@TAA$0aBrM{?U_ee_Ir&bJ2g%`G5C~ zoP;8GUuu}Zp||F$@znM?r{5n}ROD1&-@qggZsL_B<RE@+nTdl$D6^6BmnMUtu7r+7 zAub9_1zj|{8F~Udw1QnU*aRIT7@0KLZZa_^EaWhI$l&C3P3rMY55eUEENLIRlET#l z8xI`V;NWp-f>em$GMyxr6cLYuVv7Q_*$gCH8eKvfHI*847P;wk9CHf@Wje+YBbd#` z(a{lMkg(}cLUbC-0S9xoDN-zr)%#4-md7T_)Y`J@SZ((_A^hLJVfA7S<1^BY5pfcX zp`n~US#4VuHqLo}!PdT_Uz<_hM*ojuvtA+t%M0Ebt(8}^ldO;aIK#j5W;O4DjdQmi zTw$%rG~-rkLSM6Qy{?MQx|~m^Dxw7!&F5+huMB9Klh=1{mj-jl`tUI2N9mhvid%Ve zguS+?Z!r1N+w-dCq^?=)-BUK7ICoF}9~t%Rt&aEn>q1d^S^CS5+G^YtzLnC*^Pl0D z>(39I6BJw&mK-~xv-ilgAD2YC1&-f}N;=`1SX+A6p|`Y8s5CESZBL+gj?$D|V@53x zXO=yg=O5nIImOtWEn+t#Bfan>hoqFmj(NGM8L#GOEO+GD*zht^!kaxwn`e*6v7mDs z+%*@UoD^QPWW_P*99EG)R|cg(hX7;SzPRh6i}@bR>Z*?WQ1&*wjF11Ww(-NKU!L?8 zZ&5Xgd3tlJ&F>$ni3hcp1;pHwO+4`;`qkl@bH%!MnG33;k2q<?OR>CSRN6Do@`<Tl zl2*5nVL<ZLlX~(p&)iHeuoym_*D7*R=_s#GKc^t~t*49Dh;Sc2A;u?r@j_)$>H(J^ zhMDQAd$(z8mq$7kZZW<W@i)}<Tz_Eer!6yUbs}$TUcHr9-2Gt9``u!~>ozOh+j%E1 zP$F!`A)cIE9;O+B38Bm`LWVtwOiZV|SUR}0SlCzuD?&B3-f-tRi8W{I-6+yySi>0D z#}u<uXUBFOj=QJBTBj}TPA*934lfT+J#?c<Y<hyS?ryhRJH$3{+|k*v>6AcZ(WBO5 z#}1_SaJAmz<j$G4y6EkM95JVtp}O9A(^NvecO07bAci6J?vfqbb9)#gHZDnI(2KpZ zRbw^Vn{96ebfOa#R8@L(R!63I>To3-63yvU;pz-hS#&Gu*s&%h&y160Eeu)=9wKh< zPOJ<%Dd8<7u&Ajk!ADd{$wO3u$wkm3LM5WfMKNI^H<QPLB^@nXD_I;}1XvnYIk<QP z2~1>l=ulLRVp-}W;JQLZWQn6vlfuIf2`WJ@ih_zs3X1}w1rw80TwOaE8kH2f1iYNI z7`Qo_CbTq)sRT`R6cp2OP|{LkJ*dPjsK~XdWmTt$qmt`N4o)T(MHNm?1(8;TV~xuu z7&c3Zv23o0@IC*i&{SmSIwm`1!Ay1Q_T}eZK6WZ`Ip*`CfHf&Vsi=%&VX3}Aa;KAo z*(ViU>E6F<TUxH{y}INnUvBRs7qgnrtLraS-SSP2dKJDkTzyHqN)7L4fkc6420ES` zHi~Q-0>=+B^e~^Cs>QOU?NCz5gogDi_AV^Ew$|X2NdULRHfN`cw^AFf%ytP4f4<35 zsI<b|P*w1}P^8`Rg1p@fA$R<Zr%rX(ow6*)(qUOv(bllEXXmeOUU1FV<;4G#B?^tH z_m*tX2)Lc2e)pT?_nDj5ZTcX4WyY%IFD5aDZB!6z<P=ELXYC4H|L=0UyKcgpYf_!x zY<~sqQ7wyp^DN=Lk@*Sv+^N2svU^SLtDL%{YaRT&*y0-Rlmn-DK4=Oa64-4v(Ps6U z4-r!hUh$VUPVCdkb#OkZ?knh%nVp`lR3>!HM@A(>lHYaJm31pN?WuSBdu5W}@0~Xy zcb_$qoNjloaOqZ!-G!$r`7}J-q6M`Msbv)|(0{-D@UC}S-(n{|XKL5jyk_!*r)=I; zyBFQKW*ET7!=`Nzrta4IKuc?l)}{~58w;XOFjh_FI`)WFby4!}3K3q@8GlwU3amD; zHlElo`)~caz{~zY^Gw)v#opeHohZncZF_#o+j1F)%@UofD)M_aUFyi?|GxUurVZ6g zH9d0cYxYMk=wse|z<B+Y&xM5>%>Gv^AG#T#(f?WW2UpnURXOe7w8On$InMZ2(qeIA zb^N#4w~qF&7TEdvUYyzr{|gN)76yHdxBb3%WmYW=54ybc$d=Wwi`2ADjym<#6@&?U z#OvFpT4*2pGbzfZpXu>Q!--F>rK`Lxdwly!e7TZz^>Ud%;eYmseAh{LIwNAbIv_&d z!17Dz@x?Q1?gxsjEuVMC#?Mw=VAtbfk0qD%wq<mb-dg49yZ-KzW7By#15W?4vG)H} z{^@!0jAtL`9aX*Hzs#vSwEe5<ijO*34_EJa8xw5b>${q3`;TAuK6`!^eX3df?-Yxk zGJ|}-+WqtDM#bOGTx`v+*<&2osaMd{JMaAAWri*bnm%uvlh}N2V%)u)zxHY?ubdJu zS!H6V@cHv|g&Dai`By*9Sh%kL-bC}@KZ;^qOB#Qjm=t8K@pGli-qW=w79Pu-l%|!k z#?rVcBTjl%b`Mj*=YM9aqxTzkhWvUgvTD<|E5_ZH`zQDaCcYNi=y%Fr>EOZ7uIaT_ z&tKFAcb46~%<s4NqLq_A|BE;M+ip9C8m-mIHa;|S=^t^=^-75{rd!{~9+1j%ap`}V z)^ptQ>;mnLj>3XshDW*GCavK!U}bN7^_@$DVS$@!qbmbL!zR<#74HInTDi@yHmR&{ zVz@D3vrZhJyzhj*6=wpLJejTR^8fC-U9IOY<d@tDy!$w}&*j+Dt#cDZRE}L^GIvtV zx~vwRV6W_BU%tI+{ymKp$G<%n8W<Rsuy0`D;54<h5Bpx*tuw>RMPQMtiejMBENR~j zImx*jH#Seqo%BZK$M3y;e!K4J-qxLd=FWSOT{E3HJm=kcyggpFyLM{zg=n6K3niuZ zaz_Pjo%d61Z-Z3HLa&Ye^M!>Zdb&bysYi!;OU_AY3z*Ky%bKi}en6FH`N}3uj_)s~ zWeJ2&%P*b4srNHJUd{EwXH_m9j)e?Yw}hLPB~~VMEo-V}VsN>na^>D4hSix`KZ~CF z-OpTh^^(GxjNmmok3=T6JmX3@vOMhGBL`7kj=d=>PWQ64>+g8}r9Sx2WINv!B_@H3 z5`HV2t{AH?zvOx=KFGabdeGbY{UUF(<n`Mss+$cQ82C6HI0SglXQXYNp*F=Q;*2Gu zGAD=1+BItv^SmZVq)D<()7!@oyjkJEtfQWunF30aj7mIa988`eu}o3i<AK8V#JmGs zIw7k5o#LV@tR<OdtfnR!8`dU>3#Ykk>`^(tZN9{^4XfvJwbgHbXKuXxO;z5lx3l*j zlFi%qamn#lTldckkNls$W3KzgSFdwR#9!~6nz1p1`yL<DgbO`p?DIPuXJj%?N-_{C zx;AmaoC`h~2e)Xh@nr4x)Ha(S(PP4#n&dTiiDwd1vtUiP>x@kkTBa@*Xv*c*XiSpg zcp7|!>uF1l$jJ{vtE9NPOpBBq136gNE-}b8N)cpRt(odFv9#-mgP?+TL||s<F%AY( ziA7)1v?Z$S^5P%szq$IK+dON|_uKV)@yz~f1#Gf=)@ju>dZb-Ey0Rw3w(7;-B1!T7 zZqCK$V!rR0d(>>bbpE~a`d<A-44H*a4BJ?@Mcs*hH;JYAkXJ|uM;D8$(gau6jtOSB zeHsEkC9nmqDR!F5q3m3L{J6xF>x~JrhduMwDoo$$z%y4zC{k=f;wuHFeTKqO%r6(p zxMZ!ETC#Qio;wp;MW0R#o^7aNvf$CygA3K&-1!9-+zsRqG7C!3jNrPX&S-RDC###5 z)w`Fic?a2cnp~XQ8JgVOpt3b?rAE$0#m`&kni@5)bJk?ql3cNs=jQXARSJ>cAAK*Y ztDpGh{ac+s?`O;3D3`mo^AE#?7y4Uc_g;VWH`crIW)(-7SnyMIYtbnQ+gH85xx;0u zmV>h*2gfBIi4QyvnkQf3kzoo{Xjb#P_gZC#xH_Ae__jvLqNkgBn6oXn?p@NWd1^b0 za=1?H(%x;3Y8;OnPftB&wdTy*TvcVYr!(f3zwb&d=m|b!JN?P@X$oy?ntH@1wh6N` zEfO$WROxXy&iCk2U-x*Stgb!JR;-K<57;@~Mz24A)*Q*nvu5h(ONMDZ-l$>s+5X4w NNt%aR8iWjG0su>HB;^1A -- GitLab From 5a59f884ab2723a91250e438139313541003c899 Mon Sep 17 00:00:00 2001 From: Eduardo Junior <edujrrib@gmail.com> Date: Sat, 22 Oct 2016 11:34:24 -0200 Subject: [PATCH 19/30] =?UTF-8?q?Corrige=20s=C3=A9ries=20de=20poluentes=20?= =?UTF-8?q?atmosf=C3=A9ricos=20no=20estado=20de=20SP?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - As séries foram agrupadas em único arquivo, pois são observações de um mesmo estudo realizadas em mesmo período e local, caracterizando uma série temporal multivariada. - Os arquivos das séries individuais foram removidos. --- R/CO.R | 26 --- R/NO2.R | 26 --- R/O3.R | 26 --- R/PM10.R | 26 --- R/SO2.R | 26 --- R/poluentes.R | 49 ++++++ data-raw/CO.txt | 366 ----------------------------------------- data-raw/NO2.txt | 366 ----------------------------------------- data-raw/O3.txt | 366 ----------------------------------------- data-raw/PM10.txt | 366 ----------------------------------------- data-raw/Poluentes.txt | 366 +++++++++++++++++++++++++++++++++++++++++ data-raw/SO2.txt | 366 ----------------------------------------- data/CO.rda | Bin 2344 -> 0 bytes data/NO2.rda | Bin 1986 -> 0 bytes data/O3.rda | Bin 1964 -> 0 bytes data/PM10.rda | Bin 1962 -> 0 bytes data/Poluentes.rda | Bin 0 -> 8021 bytes data/SO2.rda | Bin 2099 -> 0 bytes 18 files changed, 415 insertions(+), 1960 deletions(-) delete mode 100644 R/CO.R delete mode 100644 R/NO2.R delete mode 100644 R/O3.R delete mode 100644 R/PM10.R delete mode 100644 R/SO2.R create mode 100644 R/poluentes.R delete mode 100644 data-raw/CO.txt delete mode 100644 data-raw/NO2.txt delete mode 100644 data-raw/O3.txt delete mode 100644 data-raw/PM10.txt create mode 100644 data-raw/Poluentes.txt delete mode 100644 data-raw/SO2.txt delete mode 100644 data/CO.rda delete mode 100644 data/NO2.rda delete mode 100644 data/O3.rda delete mode 100644 data/PM10.rda create mode 100644 data/Poluentes.rda delete mode 100644 data/SO2.rda diff --git a/R/CO.R b/R/CO.R deleted file mode 100644 index c52fc0e9..00000000 --- a/R/CO.R +++ /dev/null @@ -1,26 +0,0 @@ -#' @name CO -#' @title Emissão diária de poluentes na cidade de São Paulo -#' @description Dados sobre sobre a emissão diária de poluentes -#' (CO), na cidade de São Paulo. A tabela é referente ao ano -#' de 1997. -#' @format Uma série temporal (classe \code{ts}), com 365 observações -#' diária, de 1º de janeiro a 31 de dezembro de 1997. -#' @keywords TS -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A6- Poluição, mencionada em diversas -#' páginas) -#' @examples -#' -#' data(CO) -#' str(CO) -#' CO -#' -#' # Média -#' mean(CO) -#' -#' # Visualização da série -#' library(lattice) -#' xyplot(CO, type = c("o", "g"), pch = 19, col = "pink") -#' -NULL diff --git a/R/NO2.R b/R/NO2.R deleted file mode 100644 index ece32a22..00000000 --- a/R/NO2.R +++ /dev/null @@ -1,26 +0,0 @@ -#' @name NO2 -#' @title Emissão diária de poluentes na cidade de São Paulo -#' @description Dados sobre sobre a emissão diária de poluentes -#' (NO2), na cidade de São Paulo. A tabela é referente ao ano -#' de 1997. -#' @format Uma série temporal (classe \code{ts}), com 365 observações -#' diária, de 1º de janeiro a 31 de dezembro de 1997. -#' @keywords TS -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A6- Poluição, mencionada em diversas -#' páginas) -#' @examples -#' -#' data(NO2) -#' str(NO2) -#' NO2 -#' -#' # Média -#' mean(NO2) -#' -#' # Visualização da série -#' library(lattice) -#' xyplot(NO2, type = c("o", "g"), pch = 19, col = "pink") -#' -NULL diff --git a/R/O3.R b/R/O3.R deleted file mode 100644 index 8a956ca5..00000000 --- a/R/O3.R +++ /dev/null @@ -1,26 +0,0 @@ -#' @name O3 -#' @title Emissão diária de poluentes na cidade de São Paulo -#' @description Dados sobre sobre a emissão diária de poluentes -#' (O3), na cidade de São Paulo. A tabela é referente ao ano -#' de 1997. -#' @format Uma série temporal (classe \code{ts}), com 365 observações -#' diária, de 1º de janeiro a 31 de dezembro de 1997. -#' @keywords TS -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A6- Poluição, mencionada em diversas -#' páginas) -#' @examples -#' -#' data(O3) -#' str(O3) -#' O3 -#' -#' # Média -#' mean(O3) -#' -#' # Visualização da série -#' library(lattice) -#' xyplot(O3, type = c("o", "g"), pch = 19, col = "pink") -#' -NULL diff --git a/R/PM10.R b/R/PM10.R deleted file mode 100644 index a7b5fc75..00000000 --- a/R/PM10.R +++ /dev/null @@ -1,26 +0,0 @@ -#' @name PM10 -#' @title Emissão diária de poluentes na cidade de São Paulo -#' @description Dados sobre sobre a emissão diária de poluentes -#' (PM10), na cidade de São Paulo. A tabela é referente ao ano -#' de 1997. -#' @format Uma série temporal (classe \code{ts}), com 365 observações -#' diária, de 1º de janeiro a 31 de dezembro de 1997. -#' @keywords TS -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A6- Poluição, mencionada em diversas -#' páginas) -#' @examples -#' -#' data(PM10) -#' str(PM10) -#' PM10 -#' -#' # Média -#' mean(PM10) -#' -#' # Visualização da série -#' library(lattice) -#' xyplot(PM10, type = c("o", "g"), pch = 19, col = "pink") -#' -NULL diff --git a/R/SO2.R b/R/SO2.R deleted file mode 100644 index 87f21abe..00000000 --- a/R/SO2.R +++ /dev/null @@ -1,26 +0,0 @@ -#' @name SO2 -#' @title Emissão diária de poluentes na cidade de São Paulo -#' @description Dados sobre sobre a emissão diária de poluentes -#' (SO2), na cidade de São Paulo. A tabela é referente ao ano -#' de 1997. -#' @format Uma série temporal (classe \code{ts}), com 365 observações -#' diária, de 1º de janeiro a 31 de dezembro de 1997. -#' @keywords TS -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A6- Poluição, mencionada em diversas -#' páginas) -#' @examples -#' -#' data(SO2) -#' str(SO2) -#' SO2 -#' -#' # Média -#' mean(SO2) -#' -#' # Visualização da série -#' library(lattice) -#' xyplot(SO2, type = c("o", "g"), pch = 19, col = "pink") -#' -NULL diff --git a/R/poluentes.R b/R/poluentes.R new file mode 100644 index 00000000..68ade7ee --- /dev/null +++ b/R/poluentes.R @@ -0,0 +1,49 @@ +#' @name Poluentes +#' @title Emissão Diária de Poluentes na Cidade de São Paulo em 1997 +#' @description Dados sobre sobre a emissão diária de poluentes na +#' cidade de São Paulo no ano de 1997. Foram acompanhadas cinco +#' poluentes atmosféricos: partículas inaláveis de diâmetro inferior +#' a 10 micrometros (\eqn{PM_{10}}), dióxido de enxofre +#' (\eqn{SO_2}), monóxido de carbono (\eqn{CO}), ozônio troposférico +#' (\eqn{O_3}) e dióxido de nitrogênio (NO_2). +#' @format Uma série temporal multivariada (classe \code{mts}), com 365 +#' observações diárias de 1º de Janeiro a 31 de Dezembro de 1997, +#' dos seguintes poluentes: +#' +#' \describe{ +#' +#' \item{\code{PM10}}{Partículas inaláveis de diâmetro inferior a 10 +#' micrometros (\eqn{PM_{10}}), valores mensurados em VER A ESCALA +#' DE MENSURAÇÂO.} +#' +#' \item{\code{SO2}}{Dióxido de enxofre (\eqn{SO_2}), valores mensurados +#' em VER A ESCALA DE MENSURAÇÂO.} +#' +#' \item{\code{CO}}{Monóxido de carbono (\eqn{CO}), valores mensurados +#' em VER A ESCALA DE MENSURAÇÂO.} +#' +#' \item{\code{O3}}{ozônio troposférico (\eqn{O_3}), valores mensurados +#' em VER A ESCALA DE MENSURAÇÂO.} +#' +#' \item{\code{NO2}}{Dióxido de nitrogênio (\eqn{NO2}), valores mensurados +#' em VER A ESCALA DE MENSURAÇÂO.} +#' +#' } +#' @keywords TS MTS +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série +#' A6- Poluição, mencionada em diversas páginas) +#' @examples +#' +#' data(Poluentes) +#' str(Poluentes) +#' Poluentes +#' +#' # Estatísticas pontuais das séries +#' apply(Poluentes, 2, summary) +#' +#' # Visualização da série +#' library(lattice) +#' xyplot(Poluentes, type = c("o", "g"), pch = 20, col = "brown") +#' +NULL diff --git a/data-raw/CO.txt b/data-raw/CO.txt deleted file mode 100644 index d3851273..00000000 --- a/data-raw/CO.txt +++ /dev/null @@ -1,366 +0,0 @@ -x -1.7133 -1.6083 -1.8983 -1.675 -2.012 -2.458 -3.228 -3.966 -3.7217 -4.5267 -3.7667 -3.4433 -3.9433 -3.825 -3.7017 -4.0917 -2.4117 -1.79 -2.0183 -3.1567 -3.378 -3.94 -3.308 -3.5017 -3.095 -2.5386 -3.8629 -3.5483 -4.0517 -4.14 -2.862 -2.55 -2.3075 -2.6433 -3.31 -2.9533 -3.2 -2.7943 -1.9514 -2.0757 -2.5943 -4.03 -2.5786 -3.0929 -3.93 -4.22 -2.6829 -3.29 -3.4757 -4.1557 -4.05 -3.2343 -2.6186 -3.1386 -2.65 -2.85 -2.4571 -2.615 -2.46 -1.7571 -1.5471 -3.3586 -3.03 -3.3814 -3.5267 -3.9233 -2.79 -2.0717 -2.8267 -2.8643 -4.2757 -3.8586 -2.9729 -2.7171 -2.3 -1.9714 -2.1371 -2.3871 -2.6443 -2.5114 -2.1129 -2.1543 -3.6543 -2.1371 -2.2683 -1.9171 -1.6057 -1.1414 -1.7071 -3.115 -4.3243 -4.48 -4.3686 -4.5029 -2.91 -1.6986 -2.2283 -2.2871 -2.1829 -2.4857 -4.0671 -5.1757 -2.5729 -4.0186 -3.2657 -3.4371 -4.9329 -4.6571 -4.0743 -4.0457 -2.4914 -2.5914 -2.7029 -3.3229 -5.424 -3.5767 -1.76 -4.3857 -4.3286 -4.4614 -4.0286 -4.3114 -3.92 -1.7433 -2.7117 -2.8067 -2.9 -3.0843 -3.4214 -2.2686 -1.9386 -4.3729 -4.5257 -2.1371 -2.56 -3.14 -2.82 -2.555 -5.625 -5.6671 -4.99 -4.7571 -3.0914 -2.5657 -2.1643 -3.1643 -4.08 -4.63 -3.5357 -2.2417 -1.7414 -1.8214 -2.9333 -4.7367 -4.5633 -5.3017 -3.8733 -3.4433 -2.6183 -3.2767 -5.0533 -5.9029 -5.9 -6.9129 -5.5929 -2.7971 -3.4129 -5.2214 -4.6557 -4.4943 -6.6883 -5.8957 -4.9257 -4.42 -5.4386 -6.3129 -5.8886 -4.4086 -3.4443 -3.4729 -2.5657 -2.9986 -5.2543 -6.2714 -6.0443 -3.0833 -5.5086 -5.8171 -2.7114 -5.0829 -7.1714 -7.6229 -2.6757 -4.78 -6.7771 -7.7257 -8.4071 -7.5186 -3.1729 -5.57 -7.5229 -3.7686 -3.51 -3.05 -2.1271 -2.2857 -1.9814 -4.5957 -7.78 -8.3971 -7.9186 -6.7429 -8.0329 -9.4543 -3.6814 -3.6333 -2.0343 -2.3757 -5.2057 -4.4971 -1.6071 -1.67 -3.43 -4.6043 -4.0529 -3.785 -8.1867 -10.1414 -11.4429 -6.8429 -6.9486 -7.1114 -3.9829 -3.8857 -3.8117 -3.7467 -2.0786 -2.4786 -3.68 -4.4586 -4.4414 -4.0586 -4.8214 -5.3486 -6.82 -5.6371 -7.1871 -4.9233 -3.8514 -2.6886 -8.3429 -9.5586 -5.9014 -1.7943 -4.1833 -4.3357 -3.7429 -2.5343 -1.8157 -2.97 -2.4967 -2.4567 -2.7367 -2.824 -2.556 -2.866 -4.2 -3.99 -2.66 -2.4217 -2.9633 -3.6467 -2.8333 -4.894 -3.685 -1.9786 -2.6257 -3.0029 -3.44 -2.0686 -2.6257 -3.8643 -5.4971 -4.7829 -2.7786 -3.2214 -2.4114 -3.7914 -3.5243 -2.0986 -1.6657 -1.4371 -2.8871 -5.2043 -5.2657 -2.0857 -3.8814 -3.9043 -2.5129 -2.2086 -4.6686 -5.0629 -2.5729 -3.1586 -3.5986 -3.2343 -3.8443 -2.07 -2.2971 -3.8643 -3.8257 -2.815 -2.155 -3.435 -5.2917 -5.3357 -4.17 -4.0683 -1.8517 -2.3433 -4.3083 -4.4867 -2.4783 -2.605 -3.9471 -3.5571 -2.7686 -3.8114 -2.32 -2.8729 -3.6771 -3.3367 -2.1383 -1.6017 -4.2567 -4.205 -3.74 -4.6043 -3.9471 -3.2186 -2.3843 -3.0114 -2.7043 -2.3886 -2.32 -3.2071 -3.8157 -3.2986 -3.3 -3.2729 -1.8714 -2.9071 -3.5743 -3.58 -3.2033 -3.9433 -3.8229 -3.4229 -1.56 -2.2143 -2.1571 -1.8914 -2.9 -3.1086 -2.6617 diff --git a/data-raw/NO2.txt b/data-raw/NO2.txt deleted file mode 100644 index 6f819aa0..00000000 --- a/data-raw/NO2.txt +++ /dev/null @@ -1,366 +0,0 @@ -x -42.535 -57.02 -61.838 -78.51 -82.008 -135.51 -159.426 -182.9 -131.714 -113.142 -82.892 -76.064 -95.604 -118.452 -155.678 -131.31 -68.772 -77.402 -63.394 -98.624 -129.275 -106.215 -98.33 -94.417 -79.656 -71.8 -94.386 -85.477 -92.612 -110.463 -100.272 -55.557 -57.865 -135.895 -191.48 -125.24 -120.79 -158.18 -77.22 -104.628 -135.39 -110.4 -154.863 -147.322 -149.183 -125.59 -84.27 -133.053 -103.455 -108.263 -100.14 -93.347 -104.447 -148.137 -82.594 -181.972 -149.86 -122.942 -72.154 -58.236 -64.45 -147.982 -155.13 -128.432 -125.73 -150.69 -145.354 -83.278 -120.46 -146.688 -160.618 -186.34 -146.88 -102.892 -66.512 -75.402 -82.072 -109.056 -124.6 -139.396 -81.494 -96.248 -197.16 -81.957 -78.788 -82.485 -46.018 -54.98 -70.512 -115.22 -90.482 -97.822 -97.337 -99.312 -74.557 -57.778 -94.262 -79.665 -82.16 -111.645 -179.79 -117.707 -108.835 -223.333 -150.702 -167.842 -109.698 -108.538 -104.892 -55.325 -57.47 -111.522 -96.774 -164.328 -127.406 -98.228 -88.054 -112.895 -137.22 -192.033 -123.455 -171.57 -207.488 -57.428 -105.893 -125.838 -123.89 -141.288 -184.342 -103.685 -80.573 -169.797 -95.358 -79.578 -91.068 -120.59 -100.143 -86.822 -142.265 -173.61 -128.422 -85.513 -75.623 -69.65 -63.648 -126.513 -123.163 -93.358 -50.398 -76.015 -65.315 -63.245 -108.94 -263.738 -99.026 -116.136 -83.924 -73.198 -65.806 -165.1 -197.754 -198.013 -98.64 -233.888 -70.735 -50.135 -84.95 -95.665 -122.525 -159.142 -105.24 -82.792 -73.21 -140.36 -109.957 -165.477 -129.22 -117.908 -103.207 -91.468 -97.215 -80.288 -128.737 -102.668 -103.89 -68.956 -93.508 -203.18 -127.882 -124.96 -197.505 -169.213 -114.825 -112.817 -158.795 -256.608 -154.898 -268.765 -97.188 -104.833 -103.375 -87.123 -110.227 -83.377 -76.888 -89.534 -103.272 -175.628 -218.022 -241.665 -261.512 -162.868 -244.417 -240.343 -125.113 -114.758 -70.467 -114.278 -138.953 -70.853 -63.092 -61.348 -192.358 -239.195 -174.798 -179.497 -212.593 -170.458 -181.198 -155.752 -167.905 -152.728 -155.172 -191.698 -108.383 -71.907 -95.76 -131.63 -167.585 -164.228 -219.08 -215.895 -159.34 -383.575 -399.56 -252.735 -300.632 -191.612 -90.858 -110.707 -191.117 -188.527 -118.914 -72.39 -133.568 -125.287 -80.158 -84.325 -74.68 -180.442 -77.163 -120.113 -137.544 -78.437 -74.465 -104.32 -148.682 -144.078 -75.146 -62.04 -99.775 -189.3 -114.677 -137.082 -91.3 -69.593 -111.988 -99.533 -88.19 -64.242 -69.013 -138.105 -199.203 -113.353 -94.92 -202.022 -111.342 -152.23 -93.893 -59.603 -51.217 -57.307 -66.313 -95.498 -64.8 -69.928 -122.685 -125.353 -75.077 -101.19 -175.943 -163.917 -105.775 -136.287 -99.568 -89.945 -134.368 -65.298 -68.137 -156.458 -143.658 -77.992 -78.028 -167.342 -224.103 -146.037 -117.792 -88.13 -58.676 -83.636 -183.09 -95.068 -66.38 -85.475 -111.02 -88.157 -77.74 -102.698 -72.878 -67.478 -75.42 -80.65 -54.356 -57.72 -93.342 -71.336 -91.714 -112.36 -202.098 -87.69 -79.782 -81.822 -141.91 -116.327 -108.252 -129.45 -85.002 -54.388 -66.273 -110.117 -55.46 -92.12 -102.803 -72.948 -69.305 -117.145 -85.687 -148.45 -55.442 -84.23 -63.95 -53.817 -101.205 -96.364 -102.865 diff --git a/data-raw/O3.txt b/data-raw/O3.txt deleted file mode 100644 index 0fac32e4..00000000 --- a/data-raw/O3.txt +++ /dev/null @@ -1,366 +0,0 @@ -x -68.952 -52.48 -45.18 -117.338 -156.02 -126.133 -94.912 -67.183 -76.266 -38.628 -48.515 -61.858 -50.54 -64.6 -107.893 -21.637 -39.886 -92.622 -56.828 -48.303 -43.787 -43.88 -53.487 -32.023 -60.868 -54.074 -40.282 -45.657 -47.127 -52.384 -45.136 -48.225 -56.623 -55.037 -78.495 -122.403 -121.452 -181.802 -146.552 -138.304 -105.984 -81.558 -132.244 -77.824 -50.03 -50.958 -45.555 -60.87 -34.8 -66.735 -55.552 -61.903 -92.658 -147.915 -68.027 -154.487 -169.627 -98.222 -42.168 -54.292 -82.98 -98.587 -71.675 -46.97 -34.597 -51.682 -127.153 -103.658 -108.845 -138.324 -96.198 -97.264 -136.61 -53.127 -69.738 -47.025 -44.165 -76.752 -90.303 -106.917 -76.265 -142.313 -152.877 -68.632 -54.645 -71 -64.71 -59.508 -56.723 -39.005 -26.508 -41.483 -40.287 -41.7 -53.627 -46.698 -50.697 -34.88 -49.038 -78.542 -84.265 -68.23 -115.642 -123.844 -118.094 -105.816 -37.68 -34.137 -47.117 -29.482 -56.648 -67.25 -51.313 -63.518 -57.148 -99.184 -101.398 -56.352 -47.723 -60.547 -93.168 -75.078 -187.628 -46.495 -69.562 -100.464 -79.682 -115.254 -143.126 -117.814 -98.692 -56.65 -51.258 -39.277 -35.518 -56.316 -70.85 -68.845 -65.973 -49.898 -54.722 -28.04 -36.57 -23.015 -28.878 -41.977 -56.162 -17.455 -34.382 -32.763 -35.615 -39.738 -54.013 -32.715 -29.5 -11.672 -19.89 -35.962 -40.483 -103.912 -79.698 -42.73 -30.14 -44.012 -11.765 -20.408 -27.487 -17.257 -58.703 -37.255 -16.25 -28.343 -33.602 -41.345 -41.792 -51.093 -52.035 -30.202 -18.512 -24.912 -26.217 -22.218 -38.105 -37.652 -31.892 -35.874 -57 -67.002 -71.668 -75.18 -55.273 -53.582 -50.825 -61.735 -46.423 -55.678 -39.57 -32.143 -33.947 -50.4 -39.147 -14.33 -39.908 -40.873 -34.317 -61.033 -96.51 -95.445 -75.692 -65.947 -46.703 -56.825 -62.283 -85.143 -44.676 -26.1 -20.1 -48.688 -46.986 -24.7 -31.588 -37.992 -78.6 -83.182 -110.302 -91.383 -72.166 -73.994 -74.453 -56.038 -61.26 -52.225 -31.052 -94.108 -27.792 -23.68 -43.222 -69.293 -102.342 -81.238 -126.477 -143.262 -112.105 -86.703 -86.957 -79.442 -73.697 -47.175 -45.505 -71.523 -74.543 -85.958 -35.563 -24.078 -60.018 -60.667 -63.622 -19.893 -37.497 -123.975 -37.078 -78.942 -36.168 -39.94 -35.603 -39.02 -78.778 -59.982 -18.468 -28.925 -64.836 -42.1 -44.7 -30.79 -41.345 -28.712 -88.865 -65.042 -34.524 -25.925 -21.357 -98.165 -114.323 -64.922 -138.977 -146.143 -93.43 -70.105 -18.598 -28.482 -31.996 -71.61 -26.16 -13.805 -21.765 -39.247 -56.415 -73.345 -53.282 -66.826 -77.314 -72.323 -57.043 -85.555 -64.093 -62.247 -90.183 -26.543 -37.788 -58.167 -69.453 -96.83 -104.495 -130.215 -108.818 -81.462 -70.613 -48.832 -28.943 -71.332 -63.782 -25.778 -27.848 -54.376 -48.268 -68.817 -60.195 -56.587 -38.115 -29.688 -31.098 -32.322 -46.947 -69.562 -36.702 -22.5 -50.4 -31.474 -179.746 -69.088 -45.725 -48.202 -134.107 -81.61 -86.06 -65.002 -34.165 -34.67 -27.238 -84.33 -30.14 -46.348 -39.985 -44.217 -52.752 -45.618 -50.732 -153.115 -93.538 -68.305 -49.807 -43.913 -69.402 -62.876 -128.692 diff --git a/data-raw/PM10.txt b/data-raw/PM10.txt deleted file mode 100644 index 9a81cac1..00000000 --- a/data-raw/PM10.txt +++ /dev/null @@ -1,366 +0,0 @@ -x -36.841 -33.634 -35.319 -29.742 -43.343 -43.787 -51.858 -53.457 -41.771 -54.352 -33.294 -35.838 -39.794 -53.626 -54.672 -43.894 -36.534 -39.015 -31.412 -39.82 -43.209 -43.247 -40.885 -42.229 -34.797 -30.97 -42.828 -46.9 -56.243 -58.775 -40.902 -31.632 -28.422 -42.492 -61.359 -68.107 -73.784 -79.42 -64.553 -48.675 -58.014 -70.038 -69.538 -58.008 -54.687 -45.952 -30.475 -39.598 -41.73 -48.33 -45.82 -44.978 -55.549 -55.658 -50.612 -53.903 -58.552 -48.406 -39.661 -36.589 -37.515 -49.673 -50.577 -52.924 -55.336 -61.199 -55.063 -51.705 -49.882 -68.641 -78.967 -84.008 -67.739 -48.783 -37.093 -35.88 -40.9 -49.06 -59.907 -57.016 -48.166 -56.917 -77.742 -51.94 -45.997 -48.741 -39.83 -39.619 -48.09 -52.972 -54.86 -52.235 -46.97 -53.791 -48.84 -45.581 -44.422 -38.735 -38.478 -52.687 -81.087 -83.678 -65.324 -87.096 -83.186 -92.515 -64.572 -55.98 -50.361 -34.508 -25.518 -43.587 -43.611 -66.258 -86.661 -54.765 -56.449 -59.217 -80.285 -94.72 -77.622 -99.1 -94.352 -47.819 -49.204 -67.932 -75.645 -82.638 -86.515 -66.237 -61.252 -83.833 -86.794 -52.832 -58.889 -75.808 -72.283 -68.508 -89.022 -97.534 -83.655 -57.398 -46.015 -40.832 -27.584 -57.061 -62.071 -56.925 -26.068 -30.139 -40.348 -36.697 -55.647 -94.481 -76.791 -50.119 -49.438 -40.001 -39.089 -70.492 -93.601 -100.32 -62.301 -98.207 -51.818 -26.649 -39.219 -66.67 -78.975 -73.343 -61.89 -61.948 -52.478 -66.561 -68.869 -104.533 -84.055 -68.881 -48.419 -37.816 -36.307 -48.633 -73.087 -76.176 -77.469 -49.072 -60.571 -88.018 -75.884 -90.038 -123.753 -102.706 -69.534 -64.483 -105.808 -147.408 -141.655 -129.638 -66.744 -74.961 -97.178 -59.059 -57.236 -56.497 -46.959 -51.331 -53.974 -82.355 -132.24 -145.888 -121.795 -103.952 -147.259 -148.15 -106.487 -59.158 -26.879 -49.602 -72.233 -30.158 -26.222 -32.48 -55.688 -91.812 -86.09 -84.432 -111.227 -121.726 -123.306 -99.497 -97.834 -102.022 -95.109 -92.098 -52.441 -29.449 -40.437 -52.875 -77.113 -95.22 -107.661 -110.963 -90.646 -108.549 -120.765 -132.792 -152.976 -97.191 -45.955 -59.144 -103.65 -150.489 -50.485 -34.41 -70.961 -113.717 -49.659 -31.075 -49.359 -57.112 -50.922 -58.824 -49.925 -26.588 -31.229 -51.678 -65.747 -63.89 -30.816 -31.636 -43.714 -50.599 -42.955 -50.017 -38.517 -31.633 -53.426 -60.812 -47.041 -33.326 -36.52 -64.078 -91.945 -63.475 -73.376 -74.875 -60.325 -74.832 -51.412 -39.619 -33.381 -39.523 -35.556 -48.199 -40.562 -34.541 -53.411 -73.364 -43.218 -53.001 -69.322 -81.587 -51.601 -61.688 -63.134 -42.499 -51.655 -37.531 -47.737 -67.961 -63.308 -43.653 -50.565 -99.133 -98.228 -72.944 -79.685 -48.871 -26.877 -37.922 -50.927 -37.668 -32.051 -43.319 -54.37 -47.938 -46.672 -40.365 -38.898 -42.872 -45.472 -37.075 -43.873 -39.691 -52.262 -40.948 -53.832 -61.694 -65.241 -64.922 -46.218 -48.568 -58.278 -51.662 -59.873 -67.465 -47.408 -32.588 -35.633 -49.994 -35.432 -44.781 -45.595 -41.559 -37.005 -52.238 -50.731 -54.308 -40.713 -46.513 -38.002 -32.869 -37.888 -52.08 -40.815 diff --git a/data-raw/Poluentes.txt b/data-raw/Poluentes.txt new file mode 100644 index 00000000..dc42eb81 --- /dev/null +++ b/data-raw/Poluentes.txt @@ -0,0 +1,366 @@ +PM10 SO2 CO O3 NO2 +36.841 11.326 1.7133 68.952 42.535 +33.634 16.284 1.6083 52.48 57.02 +35.319 17.21 1.8983 45.18 61.838 +29.742 16.0025 1.675 117.338 78.51 +43.343 21.3 2.012 156.02 82.008 +43.787 26.735 2.458 126.133 135.51 +51.858 31.955 3.228 94.912 159.426 +53.457 29.954 3.966 67.183 182.9 +41.771 27.486 3.7217 76.266 131.714 +54.352 32.566 4.5267 38.628 113.142 +33.294 21.862 3.7667 48.515 82.892 +35.838 20.784 3.4433 61.858 76.064 +39.794 23.302 3.9433 50.54 95.604 +53.626 24.152 3.825 64.6 118.452 +54.672 27.838 3.7017 107.893 155.678 +43.894 25.394 4.0917 21.637 131.31 +36.534 22.7 2.4117 39.886 68.772 +39.015 19.028 1.79 92.622 77.402 +31.412 14.42 2.0183 56.828 63.394 +39.82 18.822 3.1567 48.303 98.624 +43.209 15.21 3.378 43.787 129.275 +43.247 13.0625 3.94 43.88 106.215 +40.885 11.24 3.308 53.487 98.33 +42.229 12.945 3.5017 32.023 94.417 +34.797 8.0575 3.095 60.868 79.656 +30.97 11.892 2.5386 54.074 71.8 +42.828 17.208 3.8629 40.282 94.386 +46.9 15.04 3.5483 45.657 85.477 +56.243 17.3675 4.0517 47.127 92.612 +58.775 28.402 4.14 52.384 110.463 +40.902 19.77 2.862 45.136 100.272 +31.632 12.595 2.55 48.225 55.557 +28.422 6.7067 2.3075 56.623 57.865 +42.492 15.44 2.6433 55.037 135.895 +61.359 21.12 3.31 78.495 191.48 +68.107 25.62 2.9533 122.403 125.24 +73.784 26.185 3.2 121.452 120.79 +79.42 31.57 2.7943 181.802 158.18 +64.553 19.3075 1.9514 146.552 77.22 +48.675 17.6925 2.0757 138.304 104.628 +58.014 19.0675 2.5943 105.984 135.39 +70.038 25.565 4.03 81.558 110.4 +69.538 26.0625 2.5786 132.244 154.863 +58.008 29.035 3.0929 77.824 147.322 +54.687 26.9875 3.93 50.03 149.183 +45.952 19.1325 4.22 50.958 125.59 +30.475 13.2075 2.6829 45.555 84.27 +39.598 20.8275 3.29 60.87 133.053 +41.73 23.425 3.4757 34.8 103.455 +48.33 25.8 4.1557 66.735 108.263 +45.82 23.8275 4.05 55.552 100.14 +44.978 19.57 3.2343 61.903 93.347 +55.549 22.735 2.6186 92.658 104.447 +55.658 18.9625 3.1386 147.915 148.137 +50.612 17.5675 2.65 68.027 82.594 +53.903 20.5525 2.85 154.487 181.972 +58.552 25.72 2.4571 169.627 149.86 +48.406 22.174 2.615 98.222 122.942 +39.661 23.9475 2.46 42.168 72.154 +36.589 20.4075 1.7571 54.292 58.236 +37.515 12.4225 1.5471 82.98 64.45 +49.673 22.185 3.3586 98.587 147.982 +50.577 27.965 3.03 71.675 155.13 +52.924 26.7925 3.3814 46.97 128.432 +55.336 27.66 3.5267 34.597 125.73 +61.199 48.925 3.9233 51.682 150.69 +55.063 34.62 2.79 127.153 145.354 +51.705 29.66 2.0717 103.658 83.278 +49.882 27.0633 2.8267 108.845 120.46 +68.641 40.7167 2.8643 138.324 146.688 +78.967 48.25 4.2757 96.198 160.618 +84.008 40.6975 3.8586 97.264 186.34 +67.739 29.316 2.9729 136.61 146.88 +48.783 17.426 2.7171 53.127 102.892 +37.093 12.998 2.3 69.738 66.512 +35.88 16.478 1.9714 47.025 75.402 +40.9 22.198 2.1371 44.165 82.072 +49.06 23.518 2.3871 76.752 109.056 +59.907 27.276 2.6443 90.303 124.6 +57.016 27.764 2.5114 106.917 139.396 +48.166 24.232 2.1129 76.265 81.494 +56.917 19.516 2.1543 142.313 96.248 +77.742 30.918 3.6543 152.877 197.16 +51.94 23.89 2.1371 68.632 81.957 +45.997 20.8175 2.2683 54.645 78.788 +48.741 20.708 1.9171 71 82.485 +39.83 12.3217 1.6057 64.71 46.018 +39.619 12.5633 1.1414 59.508 54.98 +48.09 17.6483 1.7071 56.723 70.512 +52.972 24.9483 3.115 39.005 115.22 +54.86 31.106 4.3243 26.508 90.482 +52.235 29.696 4.48 41.483 97.822 +46.97 31.378 4.3686 40.287 97.337 +53.791 32.3083 4.5029 41.7 99.312 +48.84 18.4983 2.91 53.627 74.557 +45.581 15.545 1.6986 46.698 57.778 +44.422 19.4317 2.2283 50.697 94.262 +38.735 17.785 2.2871 34.88 79.665 +38.478 16.702 2.1829 49.038 82.16 +52.687 26.62 2.4857 78.542 111.645 +81.087 35.95 4.0671 84.265 179.79 +83.678 32.1517 5.1757 68.23 117.707 +65.324 22.2217 2.5729 115.642 108.835 +87.096 39.69 4.0186 123.844 223.333 +83.186 47.1 3.2657 118.094 150.702 +92.515 39.8967 3.4371 105.816 167.842 +64.572 30.915 4.9329 37.68 109.698 +55.98 35.3817 4.6571 34.137 108.538 +50.361 30.7333 4.0743 47.117 104.892 +34.508 16.0083 4.0457 29.482 55.325 +25.518 8.3783 2.4914 56.648 57.47 +43.587 23.47 2.5914 67.25 111.522 +43.611 23.2567 2.7029 51.313 96.774 +66.258 35.31 3.3229 63.518 164.328 +86.661 56.9375 5.424 57.148 127.406 +54.765 19.21 3.5767 99.184 98.228 +56.449 21.482 1.76 101.398 88.054 +59.217 38.272 4.3857 56.352 112.895 +80.285 31.99 4.3286 47.723 137.22 +94.72 38.894 4.4614 60.547 192.033 +77.622 35.068 4.0286 93.168 123.455 +99.1 37.952 4.3114 75.078 171.57 +94.352 34.48 3.92 187.628 207.488 +47.819 13.238 1.7433 46.495 57.428 +49.204 18.076 2.7117 69.562 105.893 +67.932 26.076 2.8067 100.464 125.838 +75.645 29.384 2.9 79.682 123.89 +82.638 29.54 3.0843 115.254 141.288 +86.515 32.762 3.4214 143.126 184.342 +66.237 20.39 2.2686 117.814 103.685 +61.252 16.794 1.9386 98.692 80.573 +83.833 32.278 4.3729 56.65 169.797 +86.794 29.894 4.5257 51.258 95.358 +52.832 18.066 2.1371 39.277 79.578 +58.889 24.29 2.56 35.518 91.068 +75.808 34.626 3.14 56.316 120.59 +72.283 25.942 2.82 70.85 100.143 +68.508 21.968 2.555 68.845 86.822 +89.022 36.338 5.625 65.973 142.265 +97.534 41.868 5.6671 49.898 173.61 +83.655 35.846 4.99 54.722 128.422 +57.398 20.518 4.7571 28.04 85.513 +46.015 21.068 3.0914 36.57 75.623 +40.832 12.632 2.5657 23.015 69.65 +27.584 9.768 2.1643 28.878 63.648 +57.061 30.838 3.1643 41.977 126.513 +62.071 28.804 4.08 56.162 123.163 +56.925 27.908 4.63 17.455 93.358 +26.068 13.36 3.5357 34.382 50.398 +30.139 14.378 2.2417 32.763 76.015 +40.348 15.904 1.7414 35.615 65.315 +36.697 19.052 1.8214 39.738 63.245 +55.647 28.82 2.9333 54.013 108.94 +94.481 43.675 4.7367 32.715 263.738 +76.791 38.135 4.5633 29.5 99.026 +50.119 29.66 5.3017 11.672 116.136 +49.438 28.8075 3.8733 19.89 83.924 +40.001 19.4825 3.4433 35.962 73.198 +39.089 12.85 2.6183 40.483 65.806 +70.492 37.4125 3.2767 103.912 165.1 +93.601 43.7375 5.0533 79.698 197.754 +100.32 51.71 5.9029 42.73 198.013 +62.301 33.6725 5.9 30.14 98.64 +98.207 40.542 6.9129 44.012 233.888 +51.818 19.676 5.5929 11.765 70.735 +26.649 10.124 2.7971 20.408 50.135 +39.219 21.742 3.4129 27.487 84.95 +66.67 39.194 5.2214 17.257 95.665 +78.975 34.892 4.6557 58.703 122.525 +73.343 34.072 4.4943 37.255 159.142 +61.89 29.61 6.6883 16.25 105.24 +61.948 30.162 5.8957 28.343 82.792 +52.478 25.422 4.9257 33.602 73.21 +66.561 31.17 4.42 41.345 140.36 +68.869 33.78 5.4386 41.792 109.957 +104.533 45.906 6.3129 51.093 165.477 +84.055 35.272 5.8886 52.035 129.22 +68.881 35.0775 4.4086 30.202 117.908 +48.419 16.012 3.4443 18.512 103.207 +37.816 10.946 3.4729 24.912 91.468 +36.307 16.766 2.5657 26.217 97.215 +48.633 14.24 2.9986 22.218 80.288 +73.087 24.305 5.2543 38.105 128.737 +76.176 22.935 6.2714 37.652 102.668 +77.469 25.6183 6.0443 31.892 103.89 +49.072 13.654 3.0833 35.874 68.956 +60.571 14.262 5.5086 57 93.508 +88.018 18.8117 5.8171 67.002 203.18 +75.884 17.44 2.7114 71.668 127.882 +90.038 17.1317 5.0829 75.18 124.96 +123.753 30.4267 7.1714 55.273 197.505 +102.706 16.798 7.6229 53.582 169.213 +69.534 9.04 2.6757 50.825 114.825 +64.483 9.342 4.78 61.735 112.817 +105.808 27.814 6.7771 46.423 158.795 +147.408 37.2567 7.7257 55.678 256.608 +141.655 29.21 8.4071 39.57 154.898 +129.638 26.665 7.5186 32.143 268.765 +66.744 13.705 3.1729 33.947 97.188 +74.961 15.515 5.57 50.4 104.833 +97.178 17.125 7.5229 39.147 103.375 +59.059 13.44 3.7686 14.33 87.123 +57.236 18.495 3.51 39.908 110.227 +56.497 15.4467 3.05 40.873 83.377 +46.959 14.8167 2.1271 34.317 76.888 +51.331 16.29 2.2857 61.033 89.534 +53.974 11.055 1.9814 96.51 103.272 +82.355 15.4683 4.5957 95.445 175.628 +132.24 34.9633 7.78 75.692 218.022 +145.888 31.7367 8.3971 65.947 241.665 +121.795 28.7183 7.9186 46.703 261.512 +103.952 27.2633 6.7429 56.825 162.868 +147.259 31.5467 8.0329 62.283 244.417 +148.15 25.4667 9.4543 85.143 240.343 +106.487 18.8667 3.6814 44.676 125.113 +59.158 17.5067 3.6333 26.1 114.758 +26.879 6.3267 2.0343 20.1 70.467 +49.602 12.9017 2.3757 48.688 114.278 +72.233 19.8567 5.2057 46.986 138.953 +30.158 4.884 4.4971 24.7 70.853 +26.222 3.346 1.6071 31.588 63.092 +32.48 8.274 1.67 37.992 61.348 +55.688 16.038 3.43 78.6 192.358 +91.812 20.834 4.6043 83.182 239.195 +86.09 16.6 4.0529 110.302 174.798 +84.432 20.652 3.785 91.383 179.497 +111.227 29.85 8.1867 72.166 212.593 +121.726 32.836 10.1414 73.994 170.458 +123.306 28.0075 11.4429 74.453 181.198 +99.497 24.135 6.8429 56.038 155.752 +97.834 22.6425 6.9486 61.26 167.905 +102.022 16.425 7.1114 52.225 152.728 +95.109 11.33 3.9829 31.052 155.172 +92.098 16.456 3.8857 94.108 191.698 +52.441 7.104 3.8117 27.792 108.383 +29.449 5.382 3.7467 23.68 71.907 +40.437 12.248 2.0786 43.222 95.76 +52.875 13.856 2.4786 69.293 131.63 +77.113 21.498 3.68 102.342 167.585 +95.22 31.822 4.4586 81.238 164.228 +107.661 30.5083 4.4414 126.477 219.08 +110.963 21.465 4.0586 143.262 215.895 +90.646 14.6983 4.8214 112.105 159.34 +108.549 25.395 5.3486 86.703 383.575 +120.765 35.97 6.82 86.957 399.56 +132.792 39.9367 5.6371 79.442 252.735 +152.976 28.395 7.1871 73.697 300.632 +97.191 18.844 4.9233 47.175 191.612 +45.955 9.376 3.8514 45.505 90.858 +59.144 8.1 2.6886 71.523 110.707 +103.65 26.36 8.3429 74.543 191.117 +150.489 30.812 9.5586 85.958 188.527 +50.485 7.3575 5.9014 35.563 118.914 +34.41 10.33 1.7943 24.078 72.39 +70.961 18.494 4.1833 60.018 133.568 +113.717 15.4683 4.3357 60.667 125.287 +49.659 6.39 3.7429 63.622 80.158 +31.075 6.436 2.5343 19.893 84.325 +49.359 14.002 1.8157 37.497 74.68 +57.112 18.772 2.97 123.975 180.442 +50.922 13.112 2.4967 37.078 77.163 +58.824 13.306 2.4567 78.942 120.113 +49.925 6.02 2.7367 36.168 137.544 +26.588 4.234 2.824 39.94 78.437 +31.229 4.078 2.556 35.603 74.465 +51.678 12.9433 2.866 39.02 104.32 +65.747 16.068 4.2 78.778 148.682 +63.89 11.965 3.99 59.982 144.078 +30.816 8.8033 2.66 18.468 75.146 +31.636 8.5733 2.4217 28.925 62.04 +43.714 9.7667 2.9633 64.836 99.775 +50.599 10.452 3.6467 42.1 189.3 +42.955 10.852 2.8333 44.7 114.677 +50.017 7.124 4.894 30.79 137.082 +38.517 10.64 3.685 41.345 91.3 +31.633 13.268 1.9786 28.712 69.593 +53.426 11.784 2.6257 88.865 111.988 +60.812 11.792 3.0029 65.042 99.533 +47.041 7.2475 3.44 34.524 88.19 +33.326 9.678 2.0686 25.925 64.242 +36.52 12.796 2.6257 21.357 69.013 +64.078 15.69 3.8643 98.165 138.105 +91.945 23.266 5.4971 114.323 199.203 +63.475 10.368 4.7829 64.922 113.353 +73.376 10.462 2.7786 138.977 94.92 +74.875 12.11 3.2214 146.143 202.022 +60.325 9.854 2.4114 93.43 111.342 +74.832 14.832 3.7914 70.105 152.23 +51.412 9.7 3.5243 18.598 93.893 +39.619 8.514 2.0986 28.482 59.603 +33.381 9.518 1.6657 31.996 51.217 +39.523 7.25 1.4371 71.61 57.307 +35.556 5.9125 2.8871 26.16 66.313 +48.199 12.08 5.2043 13.805 95.498 +40.562 6.9625 5.2657 21.765 64.8 +34.541 5.495 2.0857 39.247 69.928 +53.411 13.355 3.8814 56.415 122.685 +73.364 16.574 3.9043 73.345 125.353 +43.218 5.8725 2.5129 53.282 75.077 +53.001 8.465 2.2086 66.826 101.19 +69.322 15.222 4.6686 77.314 175.943 +81.587 19.6 5.0629 72.323 163.917 +51.601 6.7867 2.5729 57.043 105.775 +61.688 7.6425 3.1586 85.555 136.287 +63.134 7.31 3.5986 64.093 99.568 +42.499 5.754 3.2343 62.247 89.945 +51.655 8.82 3.8443 90.183 134.368 +37.531 10.9 2.07 26.543 65.298 +47.737 10.016 2.2971 37.788 68.137 +67.961 12.302 3.8643 58.167 156.458 +63.308 9.424 3.8257 69.453 143.658 +43.653 6.542 2.815 96.83 77.992 +50.565 10.506 2.155 104.495 78.028 +99.133 20.82 3.435 130.215 167.342 +98.228 20.328 5.2917 108.818 224.103 +72.944 12.114 5.3357 81.462 146.037 +79.685 14.035 4.17 70.613 117.792 +48.871 10.5667 4.0683 48.832 88.13 +26.877 7.1533 1.8517 28.943 58.676 +37.922 5.7367 2.3433 71.332 83.636 +50.927 7.3667 4.3083 63.782 183.09 +37.668 6.47 4.4867 25.778 95.068 +32.051 9.97 2.4783 27.848 66.38 +43.319 12.765 2.605 54.376 85.475 +54.37 14.035 3.9471 48.268 111.02 +47.938 8.295 3.5571 68.817 88.157 +46.672 5.8525 2.7686 60.195 77.74 +40.365 9.915 3.8114 56.587 102.698 +38.898 8.45 2.32 38.115 72.878 +42.872 8.5575 2.8729 29.688 67.478 +45.472 12.395 3.6771 31.098 75.42 +37.075 9.71 3.3367 32.322 80.65 +43.873 11.205 2.1383 46.947 54.356 +39.691 8.5 1.6017 69.562 57.72 +52.262 10.7 4.2567 36.702 93.342 +40.948 6.925 4.205 22.5 71.336 +53.832 15.7875 3.74 50.4 91.714 +61.694 10.5875 4.6043 31.474 112.36 +65.241 18.4975 3.9471 179.746 202.098 +64.922 16.5625 3.2186 69.088 87.69 +46.218 9.7875 2.3843 45.725 79.782 +48.568 10.245 3.0114 48.202 81.822 +58.278 13.52 2.7043 134.107 141.91 +51.662 16.04 2.3886 81.61 116.327 +59.873 14.8925 2.32 86.06 108.252 +67.465 14.3825 3.2071 65.002 129.45 +47.408 6.6525 3.8157 34.165 85.002 +32.588 5.8 3.2986 34.67 54.388 +35.633 7.3367 3.3 27.238 66.273 +49.994 11.53 3.2729 84.33 110.117 +35.432 9.4833 1.8714 30.14 55.46 +44.781 10.8825 2.9071 46.348 92.12 +45.595 11.85 3.5743 39.985 102.803 +41.559 10.565 3.58 44.217 72.948 +37.005 6.05 3.2033 52.752 69.305 +52.238 8.2825 3.9433 45.618 117.145 +50.731 9.108 3.8229 50.732 85.687 +54.308 7.334 3.4229 153.115 148.45 +40.713 5.31 1.56 93.538 55.442 +46.513 5.302 2.2143 68.305 84.23 +38.002 5.528 2.1571 49.807 63.95 +32.869 4.02 1.8914 43.913 53.817 +37.888 6.748 2.9 69.402 101.205 +52.08 6.775 3.1086 62.876 96.364 +40.815 4.7075 2.6617 128.692 102.865 diff --git a/data-raw/SO2.txt b/data-raw/SO2.txt deleted file mode 100644 index 0912868e..00000000 --- a/data-raw/SO2.txt +++ /dev/null @@ -1,366 +0,0 @@ -x -11.326 -16.284 -17.21 -16.0025 -21.3 -26.735 -31.955 -29.954 -27.486 -32.566 -21.862 -20.784 -23.302 -24.152 -27.838 -25.394 -22.7 -19.028 -14.42 -18.822 -15.21 -13.0625 -11.24 -12.945 -8.0575 -11.892 -17.208 -15.04 -17.3675 -28.402 -19.77 -12.595 -6.7067 -15.44 -21.12 -25.62 -26.185 -31.57 -19.3075 -17.6925 -19.0675 -25.565 -26.0625 -29.035 -26.9875 -19.1325 -13.2075 -20.8275 -23.425 -25.8 -23.8275 -19.57 -22.735 -18.9625 -17.5675 -20.5525 -25.72 -22.174 -23.9475 -20.4075 -12.4225 -22.185 -27.965 -26.7925 -27.66 -48.925 -34.62 -29.66 -27.0633 -40.7167 -48.25 -40.6975 -29.316 -17.426 -12.998 -16.478 -22.198 -23.518 -27.276 -27.764 -24.232 -19.516 -30.918 -23.89 -20.8175 -20.708 -12.3217 -12.5633 -17.6483 -24.9483 -31.106 -29.696 -31.378 -32.3083 -18.4983 -15.545 -19.4317 -17.785 -16.702 -26.62 -35.95 -32.1517 -22.2217 -39.69 -47.1 -39.8967 -30.915 -35.3817 -30.7333 -16.0083 -8.3783 -23.47 -23.2567 -35.31 -56.9375 -19.21 -21.482 -38.272 -31.99 -38.894 -35.068 -37.952 -34.48 -13.238 -18.076 -26.076 -29.384 -29.54 -32.762 -20.39 -16.794 -32.278 -29.894 -18.066 -24.29 -34.626 -25.942 -21.968 -36.338 -41.868 -35.846 -20.518 -21.068 -12.632 -9.768 -30.838 -28.804 -27.908 -13.36 -14.378 -15.904 -19.052 -28.82 -43.675 -38.135 -29.66 -28.8075 -19.4825 -12.85 -37.4125 -43.7375 -51.71 -33.6725 -40.542 -19.676 -10.124 -21.742 -39.194 -34.892 -34.072 -29.61 -30.162 -25.422 -31.17 -33.78 -45.906 -35.272 -35.0775 -16.012 -10.946 -16.766 -14.24 -24.305 -22.935 -25.6183 -13.654 -14.262 -18.8117 -17.44 -17.1317 -30.4267 -16.798 -9.04 -9.342 -27.814 -37.2567 -29.21 -26.665 -13.705 -15.515 -17.125 -13.44 -18.495 -15.4467 -14.8167 -16.29 -11.055 -15.4683 -34.9633 -31.7367 -28.7183 -27.2633 -31.5467 -25.4667 -18.8667 -17.5067 -6.3267 -12.9017 -19.8567 -4.884 -3.346 -8.274 -16.038 -20.834 -16.6 -20.652 -29.85 -32.836 -28.0075 -24.135 -22.6425 -16.425 -11.33 -16.456 -7.104 -5.382 -12.248 -13.856 -21.498 -31.822 -30.5083 -21.465 -14.6983 -25.395 -35.97 -39.9367 -28.395 -18.844 -9.376 -8.1 -26.36 -30.812 -7.3575 -10.33 -18.494 -15.4683 -6.39 -6.436 -14.002 -18.772 -13.112 -13.306 -6.02 -4.234 -4.078 -12.9433 -16.068 -11.965 -8.8033 -8.5733 -9.7667 -10.452 -10.852 -7.124 -10.64 -13.268 -11.784 -11.792 -7.2475 -9.678 -12.796 -15.69 -23.266 -10.368 -10.462 -12.11 -9.854 -14.832 -9.7 -8.514 -9.518 -7.25 -5.9125 -12.08 -6.9625 -5.495 -13.355 -16.574 -5.8725 -8.465 -15.222 -19.6 -6.7867 -7.6425 -7.31 -5.754 -8.82 -10.9 -10.016 -12.302 -9.424 -6.542 -10.506 -20.82 -20.328 -12.114 -14.035 -10.5667 -7.1533 -5.7367 -7.3667 -6.47 -9.97 -12.765 -14.035 -8.295 -5.8525 -9.915 -8.45 -8.5575 -12.395 -9.71 -11.205 -8.5 -10.7 -6.925 -15.7875 -10.5875 -18.4975 -16.5625 -9.7875 -10.245 -13.52 -16.04 -14.8925 -14.3825 -6.6525 -5.8 -7.3367 -11.53 -9.4833 -10.8825 -11.85 -10.565 -6.05 -8.2825 -9.108 -7.334 -5.31 -5.302 -5.528 -4.02 -6.748 -6.775 -4.7075 diff --git a/data/CO.rda b/data/CO.rda deleted file mode 100644 index 66148ff910f984a1599decac9703c64452c902db..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 2344 zcmZ>Y%CIzaj8qGboHBb`2Lsdp`u`XJP3Qqz?N=r}Iqh4|=G|@z2wu2k;tFM7<G`(K z?kh}~)mMCF_GQSpASE}em%)UsXWjw^h75+2FPCI6E?{6_;N_KKU%9N=Kg+>(s>unt z&Q~_`mR!hk3S4~UR)(+Pl&?~9v)U9c`v-jG4@mjaxU4}s*nI`Rhe@Twg$rK|nXg>j z(!Qc1_{vwFdCM9XzOr>|>koEzTyP=t6@w(>0+Y;FwhktawyO+gRhgQ3Zplh(Yv63T zoGH1$=LC~M?<5JPx+Mn<7%m8_F$g;|^7IHKFfN$k!^p$HlycC3(SWU`Dfq%yHD!kj zybKu(44DfqoM7N-YhZlE*1#aeaM^)D3giQ3w+0^PTOhA6cs4NL2ST1I%lreX=FL<~ zWt)}xs*2^SS?5y&2a^xW+Dy)>b?{0uF1WaG;<5%_dtt4rwwXo@8B!Ux&OS4GdU@Pe zE?;rs`$ALoCHIyvXI0Hm_79fyex>&(vEZ_!eBjCZkB)zB@R1M;R^w?jNj%xmAZgp! zmHOuy<H`6a#)BIyMVrOe^GUa=$z530P?$2~L9in0mxT;=R;L-N8U)y1zS;RQjpJm= zu~s36g$xbTy(hjswr68wYVigcc8LR){UI}pf<3#x{yluAyUbNsXP1QC!NV(VK5XJW zaZaq)NHgL=v*3I=*?)a(5|Iacc57-#aVw`BT$^xo8B?x7KTC2>?0TCmj6s`j^!No> zR55p56JK{iZ_U(ZrB_#Yro2|zoGfwW4ZoWB9v-D75=9B-hI4#BO?l7iJo8}cRdwTA z$7DWy)n+OPZS5*Z^Y=XckL^*yj_qO06K7@Bm>u;y;O5g`CREH8tQ|XNW<|Tl#n+My z)-0hN?tF9jILuZkN}4FInp6F>k^O|ntfv$8KNmzaZL&%!R_ru;vo*40BU4Pa0I${_ zmGY%!T?RT<X}XT5b}&AZS>JVC!ibM8hf}dD*k;nf6O0v0<M+PG?3IYHu6XwN`=8Lh zCtn2XQ<i3Q&sI1u^{@HZrP+yXM=CXLZqYjR_0z0550|lYyqZ$kc7}72rOMQ;_fjqw zEWWswVZx0Ie=f~hzT@Hym#<Fg8%{DVY;@elvUCl5<;sH|F+%fPtXNr2MT>^39iLd} z8{KST{$|PPW})@26Xu#ZtlukOeUhi)(T|q5m-?0|<{VwS{^OH#Vbd0iuCKWeP@wpz zAb94>x6Y!m^QWXvniN0NV{e<ZOV2Yez2v@@CtreI?*CMwpSQVf_etLP{y=HId3#pg z?$B`Y+V86#d*GN^>s86wHZQEam&(_9MLK-?d^}8TBhQg9VW+mUR5Y$Lezu`Oqqa*& zeKuG5{$w8s^It-zb|3hdoVM4?=S9Qy1FTHx36WOpht6oqrG41{%{kHJ|AqzAS&HPc zQ(TO9=Ra7zmqmZg{EJuEcJ4kLG|T^NkBFu6yqR9ye?GDldO7&5`q+^wo0Fz_#{a@Z zr8Q-4lkS)>o(lfatfMGnclUnKvdbT)E-E%ynrCq9bCHko<axQ7Kk`>@?$#Cj_q4L5 z_22K0JAbk7U=h6{e)ahm&cDtQd}6G1kMDk88@F|l)Q774qF8}Rea9sn@*@{tZvDo5 zWJPyeW*hU0<+C{XPpuaJ%T=2rQ}?Vcbn%z4n@f2N|E|jEul}{O&oy(IszTj?jo+jU z7F=+@dzU}E!7inHx}LL@*5hfyS9Si2IFtoQO)NS8hVjFHe+%C8D|6bmIGJi{x{5{G zYN>lI*K51JvRXB0eY-B>vnA)k<WI0149&1V(m#dY^M_-H{+-$v*DBPnt^Krog<<ZL zYkw}k=d4?^QSVsX*^A40JeyWtRF9m0%UXHjx!=N9jCc1(#}sSqH2P!y<#EN~QnecG ziD@UTzHZH}FB4Rp!6o<c&C1qW-E&$F%m_TZeR<1lo7r15W<O%Knf)nPwPEAK^n;yB zX4>I-i$WV71@3jZ9Ke&H{;f1P`g!8y-64M2d_VJxZZ2$o%yl>FTJM)>b24|XTWF?` znOkytVR0`<WZS;P{IJ&^#}+HaWcE*3y8B^<g8F0Q#+BDzd{`SfscLt&>sEXHB2_u< z6%!kRvwwf&T3{j=%@o#B!o{{QWVtJ2=3KEG3{RVuPj%{HbJ6hX7Jj0Aa{)(POVY_y zMIVp;^+yzL3Z|T4YPLS^wdUDPF*a|Vf4e@cWNN-6wz^#6Zo8;dKxTTumkS9BX7W#N z+DnJC6ge+RD)Rn$*5xe2y7b>FYkx?dm6|Le8`WE4W4oy$;YHK2L-{GP0v18%Q)}2K zy0m;tNn~4pY<|O1?tOAke--;HCn==`akhUw-E%0zw{6nRsjIXuPCgQJ&}g#oai+_5 zcAGR`Jo3?uc&joi{np`ED_X9!GfrYTRc;{N;U=MfAT8$#>%&d?!jG7E9xdTxHH`gv zU`?Z)(lr^!T){&VI%j$cHWkcg3o27wB<k{i+KNhsgvon)8a6pC6=!r3;w<Blef@E( zkcZOjq`XOgK6Fn@%UalR>5Tf+HPe!x&ZzP@npkt-z!h(<ph&*$Az$m9qW-S<)4Ae; z>Wsa6ZroTdH7Uyc$p5w?p({)qrPvNyGE7u4<K$WTSE%)Xr~Rs2&N#gY;|69!7e}G0 zlUagHmwLZx3V11NNk`5;%6*f0ePHfH*RqnZz@!~{RyQnfl$xE|GB0)JE!8cYkypIb znQbmC6<YAvoa0vDx%k|WMQhiFd|C3a=x@x~RHv*>Dhu|U<o=zU^3b9tOXaAn&DWfQ z<9YAPE4duRy)+v9ODC~ySK|oMOcA)>7i=)+<|37XxqZT>kH0!=bWP-6e&l!HGhNmx zTgtpHvmbvJcaODO{b4-&Y1zXrJYIcqGei$6sBm?&Z|aPj7wRM2ps-ojV!>(-Htt(n zr6MxK7wlc}Qz0_o&9}5icLfBlvZ+flzd5~j<7Kwe3CXMGwA<M^>9yXvP|wKwmF=PB zmg?Jcc(e}r&GR&0zFy;fjBCk+YL6wFTsD#{C9W4NweJ{Z9x*e&dj8u#)e9$DzH+xW z8h*FtI%CZt+n>2`M(#)Egd>@b3o2JH%iJ)Dw?*K-L&u)<_6rwkzZ={%v;SDG65Ptk J>A5?j0RX%@H8%hN diff --git a/data/NO2.rda b/data/NO2.rda deleted file mode 100644 index 2a30ed940d5f38ca13f16b2ef36892b3df65bd7f..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1986 zcmZ>Y%CIzaj8qGb<SIKR!@!jB|NsC0f4~2Kz3&}}1;YP!gUGue;{X2t|NmcLjboVe zY6k<`3bw#yZEg+Bz6=ZuQVf`Y*@1z9LDPxh%9+WRozmKt`OL`R75>WBw(!Y3UlX-c zi7R`BGXzeyTsUNM`AUk(i6e)2)EL|tX7n2P8YOV{y0MsCR=BJ<(Y<rYm!n2?UKJ`I zrA#g>2WJSgEoRE)oHa|*mUH>amj(<ocv(yia86cZNtof*rhMfPo3mQ8k2Aw8gBc8r zV3%cpoOXeMfmyBL1Oo#vhzG}#CQP0}DrZfWFI)c7K&wuxeyOccoyNV%ny>sbmo@rd z68_}zO=Px@$j6ud4p~OFzV6Fr&B_lJ&YHLQtAF6Dx~BfCCY7cpU(FV0RkdYRy084z zxboLB#iw$eFZz{ouH*(E`4oI>;_Gh(SCo<xFZ-#^4qs=uuuEEN8}Dw#GGD<74^oYI z@*2LnW_?O*4la&4U)(0+l{~rYf<p3(eLj)tZCm>pTfXa?B_1fhuxE;<)m(j!`0@iq zoY8Z2W;EQ|@vFM0WPVP3dwWXi1Hnlj-hDE<lJWM#ulG@(@@&_s=RFY*51uqny7kGX zvTd@WuR=`Taqm+S?`|#s`@k!D>&`EoeF^(^3x|dXZaQ%!X}Q7E;!`QUm#gn*-)!KY zbuf0zAMUSp;kT-H=<+J3=4bz@cqx2yeSuy4rYD<fWQAOEkG}8I{;O;$DY4)8p);$4 zV9J-DAF6&v|Gb^M#=vDegYg?(am`r|Tk<ykl*@hd?-@%h*Z16nFH%wFryqOPniYpk z`d+nXPSo!%&7jX-PqthY-C@_LoqGT9H`SYZj~DbEJAAxK>7U0eF8?Jud)F_%^w7!U z9{WNC1KofG2C0lR7Pi$r6Rh`7ou6{lZ`qvIr7tc9qy=$kiXC~g#?;|hs7Exv&m^&e zzbn%hvao9N%1_&ye4VqzxQM5)>Q(C;7Nv*VCWLn|o-f_c-}0hEV)r~DH;4RB*4wAa zl$7tERJ;FsjN9THEWFRf_<cS*tenWfGCNXB)it%RPWVgDiAM)k7j-FW7zjQ1$fmYC z&Zs5wO8nn1JjWa}J{7Ow=rz!_N^a%)BQV|cQq7{wLoyw&c524;Tsq)Vm%*>C&+oqI zOQZ7Y$ka`(oC2%TtiClYNj&~_k?O60E431aJi_I*fdan^X5P;HlYHmx5%1QS?6bI+ z7kt^$bF<v_`H}wRf-7Y8Qfsv)E3lo~TI^aP$fUnU_}>KQh~pDHb1Y6y`?O;6^nh~( zx7h#O<`qtLPtkeMdhKq28gHuB?t?nne=n|%42`U9ek%WTtC@vFVnCXDU#`}RV~78I zFG^|Q(n*?g)L){h;D<#}@|?pQ3*YAcy2rpP|5I)X0|WmZPPy&({_mQ8V%-fdj;Rat zv~zaP4?J||lcH+-g^TXlby@9qi(~=}=A5fuw`t0W8J)Y@cKntyZwnQEqt0w3xbDXD z+zA4lTl);pD4$7LViaxHf5G7^=Nz6%Mmz;Ku1RvQU44|P<;ml2@vT*g2F<&&CdPQq zZDw7sxKky_K-O+`p@6Nif+dgT#E%8rKNZM#A6xMLpwMC!gGEMScP1RV_q~_N`%sG1 z5~GEw%p6ZQ#YcVR``^dTb#ao#o2KNY_iH~W2sLgBdw0t4P1Bd3f9z^h*xrgwKf3H0 zgCe7_$Lk>brEOmv`e$6+&h~Yx-aN79Ku&(%j;syQ^Bb8Kr%s)+_`%LJ<LOneqpzzt zCv5*Ual5slz|)`lzP6e2?u)jrzsLNukMmdT_s>ab%8eI7UJKY8TYTy&&S9&2|9Ah2 zLt1a&<WIW#dDVT#u&4Pa&pcoJ%O*A}vg>4B*?Z5>(}Mh0&*{GZ_2P<yVA4H(t?0+w zKkN!PSp6{H+v#IqP*mE_VuLMh>(3RW?U9_o7hW7~do%6zKL<PgDc_eW2&^&Nu`(ee zMq9TpXhF13xWL9A(Z2gT^G?jlmuk>o`7tY&K``A)llxcv!|dCQSC1`w(e<)pdgJn& z+xY!hw*Oq7@hDCx=80Tb>!JClU!Ga-e<aa$(bVZ1H@_}iZ7;QP)@5$)^55-CvR~~w zcs50N&E{QP?^lP<z5n&d!t{04yB6JUdSGCE@|EX&y<0bqtY$UURi4$lJ4NL0^6AH( zDJ)IBc_rkTR&@rWNA{ytE*?zt<~Sdk)bPXNg9B?)p0daDw#mBB-fA#%8)Y&xighX+ znCVldV{ucla~szkUT&_#iZwfXmV`fSJh|^=fo<3H!;HSik8s;<E<4ZgLPOz&^u&{Y z1=JWC=S+Vqu%Ndvu7H15zCeP^B?fi>ZU$zP@*w_**BlcTt^RYjMR-=jL!+Q+;`>tP z><HPk=KtmU{KD$<TAEJHHw(*R-Fn-S%OpRjT#z*{T76Bv#OA{VVzGCk&YYX!s(PiQ zexCe?`wmmtkG0;oUuy5YO`vJoB9jLZ-*-Rnn0Lb~sKT~n!xq7P4!1YOF1c%4usEpl z?;8dmL0ikY_1$-LH>-pM><Il=6h5u)_Z83Ofq_*QBbcJ)-FxEy>u3JAobuYwt^3M% zqjSPW7jHAp|2tj!c%J3Cwn<7c|FbfebW7ztt6rGs*xSSMS@>)C!{23o-e*r7{`On0 Yn$cbM<bC`9-8+@$Xn3$%C-X4?0AG2mv;Y7A diff --git a/data/O3.rda b/data/O3.rda deleted file mode 100644 index 7e723c4bf4dc1ed64464d0f8ab50e3518f2f4818..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1964 zcmZ>Y%CIzaj8qGbR0(}~gMsNq{r~^v_5c6>`ws!%|NsC0`~Uy{U;mc>|NsB}yZ`_H z2e8&L=#>;OFfcJNFlRBCEnv9700Jf;;(`<d;{p%^iWS(}8hAl$6BD+^1t1o)f)t1k z*2C5SVlv3g%BprXTRv;vGOp^750h^#U-IRO+43cS7Opsa)#lPnV;44oPqX-gm9JE( zFETXi_|oR%tftJ7a)BW!k=gB162rv_ye3H!3MmR8(?AAakOZ+97#O4&*m|K%US7rp z3~as(lUzC{T&bGT`Qpk)DYbcRGZv@XEVP+7IV-E$jVUYhsYzB<f5v5}EZYUaUzp66 zEno7bUs&X;$xUAWt8%mEd2VvMXt>qq%9oQSw^D?!d^P#&Ybw9u%Dq{Ezp}DF<(~a| z*X1Xtn~KoE2gkjve7F2+W|DF-<8q4;6G)Vplu%$ah0XlYGtMJvBEH(jmNP94gJU1M z28gWq^yyuo$IcV!*>c7g{bv`<f3)Iv-F_p6jhi|jrC7w>yW_fkS^wOI4q+?1j)=Rv zuYO<qBY+{|rP{<@DV|XoCV?OAuUj`9aGKvPTK)Eqwo$+6wgs2ocd-T4EuP?Z<E5q2 zvX>V!I|Pj#<=I_VZ<~Gd`#<^bzam+!V$XFKfBJP>{P6O5XI>ZX<_)s4Ud|PtfA!iO zg%w?o9$(z5w#_enVT|*lr-3<NbmuoJnfrv=PFIRPX?8<x+oH=H-N~v2-G4qeg?w7M zdsnom_3N7jvlzNgx;|{}W@MjsDQ1h%^o$KD5>Y#O)HVvAX`jcR_tZQ~;aS){PoEhl zTCcw>x%ctzGVYrGyC;eQHoS4^H2C^TWcST`Dx8vMO4{5)PtTI<I~p#>;pt_5dHVN_ z`5Xd?Ti<<RD&4w<qw2jx$cq`p-TRtbzD`TByL9z)u}#cdyQ2HGwLMRtek$9UCp)Ju zreB-)m;{@C${K}fEWD>aENZBn_2T1a?xLq58T=C_<zI^l4rp4j$l)K$q%Vt0_VDUY zn*L8ACCJCg*vbB<&Y9>(;<91uiXEmtTOn#)%p4-g@_n9UQReXs(JzdQ6{T_kjj@7L zd!|HRF-W|!D(7L5d7*=tL;fq{`}_E{d2Hszh!@&Rcwfk4Q00DeocC}+U~35%&r;SJ z3x)&Xd6s-P7`LsM-yRj}z}>|&dF5A&0t0~s+z0anXNN>o@aMI-UNz5f=lQfY@~VzP z_rLS2eN_Y!#Jn`p7swv9d;0l}#jU@R`9&-<d(~>AjeKSr>(zc~YS_c|eXIZJB-W-t zMkUkC>whyoGVb}o^60@q)3h%OIozh{i>O+$t`QJi9#l}QS-a2eYT?XBjcWI2nso;# zX<XAh&2w|LM_GHx>RA;BoC=eCyH<SMylnLm4WF5ssipteisVuy4sWVBxIAV18JV9c zmWs_s%8wkV?8z+;O_Gy+t>U>spSL=qUFC~`!PeZD8+v-~IbYhi_la{5N6K^dc?ZKz zrfO;g$*Hk<Z%y>OC&k~E;-YfkB>(o(Gqbzq*jt|WoLm&C8_nRcDZc->fJJWg)YB5z zf^ufIWNWs*FuqXsW|xllXVKZ3KV<r>TdLP?%bhrN$rr5$9ARsoc}=c*k*nHv(&owG zue;|PvZzT!w=GOM)EvCV)6dU2^y1wUNzL55#h&dw)FOMEZGl2oo@?_Jm3?k*S-*=o zKfRG>_BcMp!b<qk;;JB-hpcMvw%uRsso<9T(dz!66yI~ACj;~EZ);?AO{h52vzV=N zwa;Njf0GAg{ttGZzWTm=GM|vm{0Rw4g<Se|?#DlDsnUGXb8q^zuL;#_B%VDlmyU1S zckyA=&6R&ot~`9pR@vHIY`(gZvb-;s$l2qfjR7Y<{$6cmHRo}qtjper`ZN1>&#B@J zQ(c*}`+wT%$9k#pOd?xFP3w2aPuiXH!DQCkzKAnlWRyKu&OXmt@2&FD{oO9s)hv;x zOYJZGlH=m`|08xeyg&HIx=F{pER_x&z4ZNCVBq&CTa)T7{XHQ$+&4PzZ+dg}OKX*G z{n6Vt7HhWN*l#`ecZK=(7mGi7_8<JB^!Zegrp9IouQrcP&A@2&&#c!2@60;4Mu5@l zWbL^PtF`V-<6HNWO|+jmVYAtV_X}A2KX0*5XI{k?lB(T#a?$FErxq?~nYwhIed*y} zm(=R7?~Jcv|Fg%-Z-wrzIXSgURFbXkX3slrpYg*Z+DkC=bKb(#{0*FK-pb`Mzqj$U z{IisOd#>`u{l_0A)=ujDnxds3R^RsEirbqt%A8rNR<Yhp^fX%YGkp#lch?iQ*K_B) zo;uj`*8h6@H{K(?|NW1(Oxf~G-SoQH-^TE;us3&p+sMuEEx#9$TO-5bXE<TXtQpsS zJMB;SwQZWE%2bu?51Q#a7`e}XtC;!mzlq6I*CT%`y6QJ*ed`kp?Y@whRUtm#HZ{v_ z)2#AXyQlN7D;aYf&0~GGVT&A#@9wWZ?q%${5}Y4Y+xlyUZX`>V)t1bXJf57;`v!V9 zTW6Nm99tnV>B!!=McV9{{Gtu}zWet!ojT++y>}IVZj<Yh?~VMy*Y4dFm~?mB_Ldth zOTLPUUw60V7By~|y!~y>N8xLsdnfFAaqj1a^rbO#^}Rj6b?;P~qv0W>_2mr%046@1 Aa{vGU diff --git a/data/PM10.rda b/data/PM10.rda deleted file mode 100644 index 41afb44a88f38eb8db586acf9caeb7c41da2da68..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1962 zcmZ>Y%CIzaj8qGbycAws#K82b{{R2l|MmZ&0L1wB8pOGNz5f6I-~ayq|9^qCj?tX+ zfE5=P;}VZl2a~hDa?2btF1z^$RLzt!VKB;^rF_wB0fR}RRFd2TX2-=o4Y%ga6jofg z*ulgo$;c$-i^7GB3z-uxWMsZlU@)<DV31;Vkdk8TU|?WiFaZ%Ln34I4TIR$BnOj;e z^GcayT)6Bu`O24BNx8xdQXtg=Cnqbb`5Gk%Lp3o<F!&lMD}jx=z`(%3xPXCy&6jZk z1A`P)1%xunV438kxz)xieWi^r+wzIaIxcoD>%ZhX(QK9>=PO&aQ)ZK|d^MYFGTYa8 zWv{=-t=S$IC$q>cQ+DiN;5D*!$jDq^#MohS@s*TR=EN=Y<~0j{xR<!X%ceX|wmd25 z#IBYpY7x_v4Oq%{Z?KS1b?oVLTb(4&$auyeB+d9Jhw+;;hrfIbKJv@RF1a<}@b?+( zTvl^loD$RAb6?);gTSj>i{JfB%Qlid!CD&puQC16P9=@-^t!3DQhN54?fTQ3KIwr{ z{43W_nR6!2pWCV>QRiO!b>Eq0^RhSA2le(B^&LCR9eUewUy9GgxP1qOTncY!NGPTi zp9uaU7an-+7DL8|WoNt>Z`oFH)ITI=Z-HTspwb8D7w31Fyy=YL3%$LL?bimu-YuFo zv%*_*Z@XQ2@U1WWns{N$t=a#BPgRKKy%k)1>5UCr17Dlm_MCgqIlSKM_ieIY=EmB+ zDrawnPH6Aq`21;KFMho)a$ZSx|E%B*I?QwTyw6_QSbFBP=4*$3J{HZ+&v)XM-MM_? z;JN_MjDq763T{u5ciy=E<*oI8Ov)lj0>^lHlH!xDZ(H29U_GZ$a*=|B<k7Swu5XjH z{?3}?`}*u8Hj`xcxK|ugYl_t#88UuclzXb6Oliw+or4p_6as!sPueDHvB`kxiRkp% z?G|q@b+^>0eN5_H@%h#pS)OYF4{EkPwABzyd1lb=+5Y#e)w3x*@_Y?3T~^`|0f%-? zvRU<ng`?6_?478C%7?_bPdvBd9z}CFOy*;HzMx1kfN$ngkv*r<8f@g&3x1y0-G0nQ zu0B7fplDK7;M#&jH_mlFP0HN@5+$=Q9oi<!GGV3R+J6V<=`42X>|@Bf@a5BiTPfyK zb#kr=?0DxY7V4VsF;!y0g0-S%)zf+EYNHE01bBYT**tTWu;Vrp4~ZKy9>sGsG{{Y6 zUesh;sis@{YL5qp)XB3u?oMr)5L95`yE^}XEQ{H^D9xhcbUDViOP&NQQGUKrYjHFW z!&?_clUc@E4i;)XJj+%#7`@x_K=`1_8y$`mwzhzy{4Nh2ltbzz`1Wj5b8ys+e0I*l z^o_9Sv3uSV{^uQfdryXCw_;Ak@Azbgi42p?LwOG@-e7ynvaGsyTc-LEgBiDs_*q*$ zwuGE>__Q@;j^U~l;htu%lOkS68&5P&u<&W|cy>q5Tv+qO>p&(&gNLme2k&hVyL&%r z!lx7y9woMjuebi6b3XKWhUm*lDrxL1F8oSa9n+E?BsnwZmNwJetfOtu>u&#-V(AE+ z5uPSuH)-Axg<Ti!{4P*tJEhPg%y#j2p!$r2Vv$=<+I=5x>@Tayk)H5rTJmbX6Dbzo zqQ0LkUZ3InTV;;jDZkIQ;vO!ipU<7NxWUc2tf!k}@rBfiEmMLcx&xC7qVL+2JYmtj zJME+T;;%NQjSS&)tc344GA7$K3QbNw6O;XAHWQEF`|C3e!cr?{%~&?$(o1u*2kWo@ zieKihUK!LB7u02bUtE{h_CS5`hK&~)H4fgo_*6}<WOB9R-bz1%+FRdNuH3-nzT3Kb zdsI#IB)N$_j(IT_%kza+ZsD28FT3hd;{V1&ap%p=uU!7G_%Ax<!;TM(XOmwY{(L1# z&awXf2j6*1x7zo8V-zXbwfnAZ#J{U26O5np*E|%?e_Wqfal2f}_^bRKGl4hfe>FXO zE@9J|r{uPF@|rExVo$BUO#1m|%UmtfoM}GlCVmVPpPNLz?q+(O5q*E_RMoQ<A-xwF zBql_&Y(JfG($RVbyRBJ+{hd1T(+X-E@AN*~uB)WPmiB0U`KO|YWtRPKQ)}hoxBOUQ zrk^<LdgG)${-MWrH8$-1CS){e2G>7>rtJ%6uXOq5Q^dVr>nYdglR|sk*K$W(lyj|p zb?MfGu%3x5r~giIi=Ug_;=;R{^|lWi^O9YQ=QbQXKL1X+Rog<1Ngthy4;P5e>)YJ+ zz^Lb6Z;XNPUABC&CmSWir8=yPzdx`DuK#2fw|k<)LCd5%fv5BMh1SnG{LC*+=PiHe zyQ0dZK7-sjVYLS)ugJP-u<xlK^OC#;jhaa-t(JY!^{9#5FFSKG)1f8ZN&WX_*`iF+ z-LIB2sTywQJkzRlQsHQ5>LzcClm1^@g)H{1OMIXdp*`n!i`T>YBN0Yw+1H*=y?)8} z?}v#^`+bfaf5Wx*Zt|h^OWV`WoUB`;V;*aMHa?q0d0y%+$ICBbmfkq*6a3`2d!Ep| zMe{4BEj;O${qxh*uWGG_x=kN0sun)+>gJa<Pb}tse%W>RYws1V$j&<7<4@CD#26=D vIq!X6ZtLXJPHBfC*W0$%%$j^I#Cfy(nFHyPCP(uB#GVv+=;Z7fd-enXXVH|> diff --git a/data/Poluentes.rda b/data/Poluentes.rda new file mode 100644 index 0000000000000000000000000000000000000000..7dad13bf0aedc92eebdce163c832c01781471bb7 GIT binary patch literal 8021 zcmZ>Y%CIzaj8qGbJbRyUAp`H`{{+DU@xPy+dU1J(h_E!zkN5iVl!1Zi=SMFtjn3Nn zIhkcoFEy;)y5`~nm$)-KOG@1~TykQ$?6&Zg`b&SQo+}saJy-U$%`~`js#1NySASp5 zUP*t?mn)ZjS!QzO%azPo{=UlYQ@+e|Q!>+hG;jIxrE<$V+*>Z1+?tiSZTUj=l`l?7 z3rV|t%E(HaEPUZ?K+BYaJ~MdzHIg!T`87-odL`y9IB~0A<8sQZDu;|J;S0jb%5J?Y z(q>5-`D?Jb&B|QB?9<CE?AGjXf!WR3m)9hTfu}v>ugNWz!=4Q+Ul@Ei&I<c5uq4f# z*x8biIoWZ_v9=`_GPlfP$Y1~iDJizb2^TUKFgsi@VNzJWBr7@C^X02lTmMXxjLV)K zhcZkuG8afOF7}xvx6I)yTZ0L&q!a_Q1A`R91)g4p6Ku`S4h$Dkcp2Dw8jf^j+B&6m zF8S;E!vCrX8?(v<xdl?v0f$U(uFCiuxXeG;q-S>Ef+Jr|ByD{z+4{;YoVe^%)hv^$ zevypJ{=vR-o(mT{E?@DLalvJ0hp)`O%+3y;N{S{Tw|tje?0k`Fz`)Be<C3HSPoq&< zR|RM1GGSpxLw_bSmBXIPdK9GtUr73#^>J3X?Bg>_YPMQewXf%%Dc^i9%u2a@Y00+M zC(Xx?EDE_>r}8u9_l39fr|1Y+b}&e8ObAF&ZSh#dp7`jD1C!-5O)2kPHHC_Al-R`9 z-3_c*azh|QA~1rZz;M~xkEv1CPDfI@CJA%JeYx3`dsn?p^7SPliOI=bEm5-V69Xsm z9Z4z9W14%g{VZFqyM|Gk&q20?$p$HrYCJQR`84@-@qAd^S)QWI+|M-g(Y&;hc9)YT zKZO<I9A$a#ZD-$+;j;1*o7SwA3+{_do@czM-{-rfouX!M^|31rS2Z4n%5ibuzH#=_ zj-z!V7U^>&Wk2=(`C#`%bMeM5&)o(uPKw+y?l~Us8?mrnPVLd}#40AQkb=2sc@Nk3 zq)NZA&avRxdiAuvL}6a4khpY{xN4|R{NnhhMmuEp|9x`!OSDaGlZVPlH-*x7h7<2B zFyV^I?2XWH)apF+cZ&eKS7<+v@nj#X`#+4EA2OV}dA|78>bi*nf)QTZed>43Sdi*> za>tZ;U9H=+H%!RdJax|bjEt6M{y637?L9>YC%-c_x;1@W7OT|HrfrTpZ|-_%`p3TV zfMwj2_8A_o9?UyV8fng1u5sI4Cg{zBcW*dPC!E-<ruoKii814w*?*qD|8uCt#Wnbv z?B+Gri=y5epKs`@ur_}#S+!ZY-CQNfTj1e`H!Pn!m(&|BjlH%1FbAVZP{r@oa|~-X zS+Ch`CfMgF8^!cvkH*7I9XA!PDl=$^c&v@iReO8wqn;^$nZ3amC5vb`m9Ou%nc7`k zn?5gCaB9)gz+SFhxtZTja31@`*lK5x)7bYbPjs&!lZ5b_<lQ}M4IgoIY^&~Dy(Kq% z!KY5{J74*&KE{d~UR^Jptrz>wgr_Mbz+pNIgK3$;%~wmZmFB<ldi#0S(NfmFMRjs% zZCo>3Uc`AY{jE3~VEEy{4(*i%wY=Gl))EiwGj6XJJ*r^Fo%i5gnHcZk>+actx6k%J zs$fqNQI&WXaryi%mh1WEGq&COu92;?dm8Vf)USMVdK&XAugKVIKY4Mf_VUDsO>aJ? zh~BSF-;{SK>Z$ZMiACu~0n&v}4u374(SGlcxI9<fvP*7U7o>XMyWjt5<I%yf@U+CV ztU8Mp=ckenAMBX+L8dVEEnoC*)%u6F-+I=+eU+aXq4{cE+2ezEJ(jR^Zd{!qSK+<= zVzsMd=U#`+cGqNoJng>u&pIMCnwix>q2URGS7<FaTam!`9s4paUD$7J?)AX=cZrm% zic6-*+wKJ&oZLQt-|gRbNBZyCe;S80tCMH&Z9B4YnbZ5PTV@?QACp{a@J>6#@B&Li zzJ&SGJRWJr&o}IuG!s^2+XgfxnTvkhCnm9S)5o{PANe*pI`h6SpSL(8_oJhmOJ<6V z@T)bNuU!itA2U-|)=h2vc|G{M=Ox|A8TZqL+l%MTUm57iD8%$Tc!KdN-Mq~)=~^={ zslJ^Ob*AqWTSstCfvn}-D|=Y03a=S({Xgn?_}N3HqEB(!^Cm9cd@}lh<Lc)#GSZ}0 z99)xe_D64iQrhQ+TE*(3sreSHJzF#4cYgb+TQKj<lWkq>h5OWh?`o6wSu^|CIR?*u zn~3BI3~Uo*?H-y(UHqoUS@uG4O+a5P+sRGORT6Hl=wCc@-?Jkut|?u=x1Oz-UwFS~ zui#<-J#BxVJ)FpNWV=VuXFgSp^&!g**>{|9DPt~```EKz(?a}@)YBiuH?}$CHO-z} zIXmHe;~`6%Z@;9z7Irjfg}!@cvs*Ul(?dtAx7<8Dy3Ey`Q>G~%-^MsC^ZucHS0-<L zkpiBIIPE66phB(d(@y=jn54rJJ8OQ$%G|plvfC5ZZmId9@*qLzZ&lC1c|W(+U7O^4 ze}8`Kl;iih)gR`b@D_WSvgvG7!v6a<bC2AyEZY88etGJHOJ7~iaM*5U=RWsuZ?wm! zx?1tgyC2kCieqVF3T!>?8?y3AO1!kh!ox{(YP!0g>~pJQGIh+kCO5Iw(oz15n1t98 z&&cEox3ap0jY?5YMtN_GGH!UqNZq={CU){f(Bb|PW0}c2Uz@x-{w7;8Dw44||L>33 zdFSn}Pr3gmFlaJI4ZCvMO!h#df-BEVcTJa^CjKou;E3!(i<IQ@D}O({FOST)b)-z0 zQHIGyKPTqPIkzUasd)|CKRxRA+mJr5Nba%RiH${b&)u?iG#30MC(yBGQsuO%`wBk< zKFayN{_o=X{&u`ycrNPNuJ3Apa`X840Cyp;DN3)a=19Iikyv&t>f^+i)RLr<ZvhW- zf4NS4d7!xM{<r(TPxu67t=Sg2_=mwO4u(5EJdT#T5*OZ4e-pbc@|M5is_<>k-d1d! z8}^bbYsFNbjNjhBGd8c){8K!a_1vDE<K4c?cU>t_l3rC7@bTO!Yws61Ho~voro4!} zp1Sc;;ji!Mozw2mjx<^K(!BI>T0w2G{tnMFRu{`{JNKM=c;VU)S>@U3Gfcl}t4w*D zVZZLfW*=T*>qfuw|2$#u`1O3YZ?wEK`{~Xr7E-IE?}fN56<%Wel<{3q#Jx|}i(h^a z$u8Ktls9RP=)HGS+?QIpetC80amX4|-w6Bld*@c^>MhO`WPMu^EBq(jobA!+%x68@ z%w|7LT9y0h%DvW?)yXAUyLYTuc&hvBB>$%g39Br#^Z))!n))h1G40pv@EmFV>gzLl z{JrKUf7MA`Q@Anq(aXe>i>H2G_*NxF-fz#-7q+KMx#nE9e33pUH+6}gVejg@{QH`- zHSf>AXm<PF8#}dG8mwQs7d_Oy#}$~pAbN59-4h8ivV4cu)E0U3^scH(IQiJ^!q-Lf zZf`agd+}vk`mfSSM!f0gBUY6j{O1>Hy4clUnDtKSdoRU;d2v!FA17U$Iz`R$+(G>p z3->*q{i!f4aF^|NGrP<O8Bedv7u_pMNVYpyEVJXqcaIxe65sR*_`P|vsIBBY^TcGo zZ$B=IWr<p)bA+TTDqq>CczMg3=kGGFn$B?a&I;Xp;p{E7v%41@`!xT~j=R_V*Q&~F z;hpt*)hWr?ODSt=+yA;&rY`l-x%K=-T(Z`$v%8;6oEy3{COF6ULGu%vRr5Gmeg96J zzx9>S!sUm&uj*Ws`Fr#CoZH*uZcT`|6T{_V()N{I{It(??oywo*P7Es8N8ALr@uFB z@XE^i+jqaE^~drgd9(XECR<)FUA!)GHuI6+XMB!$urn3s$RCwwuP^=Yv`?RLGAHXh ztEaxzP34DAuFP3<q~e}zKvBbyy^SjsE^D7z>dL=ECMC;%`<D!bDxnMa(y|vQY6*tA zhi5%(DSel1ap7ud4GZJru)R}sUhF;nX0zadqVPSr=Z%)uZ#>`^&|G`-OD9A9)A-xd z&M!Q&YR|LJwN-N$&kFA9JFB}iX>sHRW}Y0E`<K~!QchoYnQ<aNWRvqbli-Yfj?C9< z8KpQwvpur^?e9uk<7&!t=hO+)JC{?0_3Y1!SniDBT%0<GyU<DW;u@or87ofqaJUD4 zxaIo1luw}fg~OJa26>M0GyImU5f|(Ylb&kx_m@F~`}UoNUE9tkPIEYXce+E|jKwE< zA3P0cTXshI+QGd3H-}>$3WP^!iMzzrI+|%RUNLcCI@BCsUTiq!&-U%9hT@A{%^29& zSMzjfls`S)C&?nz(=lPgnNus153lRmKIg|F9f?DFS6m`00<9b~Vs~?v{7&3xvF7@^ z>rD*H%GdB^OpNu@32(oZXJ+_8Th{rwr-qV{<)0a9%Xdf_ylcJll3z5aX3l$o{h3m{ zsVzq)YCSdd*uk6H$*NMyWf&ADb#3>t7rC>T7cB7kcHDh&&_dNOYzs_srK=?xo$~LV zs~5eOd17aF@7p;i*Sm%a-Q51Pdv&CkYx14ut_#oKGWRR!Sax20;>OYPRot>C;6l#% zH78kK*)BVA$#zq!#J7tQw;Q${pJ`;wU0C+Hjm_R=4ileF)~?GQckfkqg%&i)owiB3 zdFbGh*Iqnbzk(LcJeJyd=2fA_mH3oB1!A{SUMx$!pJLawSYzXz%?_czHYLA~b!Pdr zM<!^?ydC?N#w}4!ej${iE}yq&l7#Cf(^c}7)4t5&m04Nb(kS&I((AiY=~1U;y{_W^ zP9_akOwzMnZ4O=En7C%CZ(B;Q%+5Y-)=8<+ucX~infB}WDej5xHTyJMEZdMP+~PRf zp=*<Qvr4`8b0rDtcP_{ZHCf@B8qMS#?NArcn78U+xx9XF`I0MhS_FKA4VSr0I$S8X z_v$6>O<oVaB<3_PSoxE8c9(eTiinPr249+_vtP!l>V#d~E_p?5Ps@xMDS90u%Arpf zCqKF9G3T1_>?a$0`vqP_e@UGpljin0_VUwBO7=>-E&H0)10xgX&nf6#=9VLq@Np)$ zRd8(J(ftAks+YK|VJ|FZ_~6Tzc5CI_nKM)F79ILH#kShj^Y7|c7cwrLE8cX5jd#lN zPZ{<}nssZlZ@;qCI-2NSkztT@<h=6KrdP5x1&Pn2+QYiaK2A%JNcY*-*RW;_<0RhF z0<liLcfO2`H&<EQDyvrA^?p(2)NPRs3Zd24y7c&$aV(S+icp*&U{w<6wna$kL+|b> zt0FF1rJX*LFZwX?^e0dK{kmJrO|!$V>b9P%mC=b>tS4Yv*7LLYvT4!lTmfl^Z7FN! zwB;?7^;BH(!lNwzTa1j5IM?m+Wu9^=?|oBl&DmOClPVtmJAi?e{cIz%itU7>e#}vZ z>e>R9CM*-Orfyr3KJ&<ohN@FRbFUkoTA(R-x`p?O0vo$d$7#idZaY{w?}@%H$@nE! zac2F~P^J9eGS}xP->@%xn>Sfwl5(e5;L;oZ4o8`TXH4^%ZnfpH>Vm@9JBlaly|yOQ z?AAA&viwUy#Fp6T?aMzNn53i<G(-Jna#~R#qr+Z-)bOV}xVbqVUzN?1I(V_j`;e2V zPuU9-|Bauv_gWu0UGX9G^W^hKotGWB6_NYf`prv)jt2=Bk0>#(y;LmH$!FZbt>WV1 zuJz_gqS?u#8(W*!$9%1=FH_jjBj<j}l1o8Ge>VS&YrogmOB=G5IdWOWK2~^9@^R%u z{~wDw?Tp2yal8L1*p;*In|IC;(_>0^1-kZKGgO|{?q3@E?nYJ7=FhpY1{}sJ2?DcX zj!PV#7`94Gso`WognNR<<*s#{r!t%V9xR%a_y2pzWY)wd%@-e=7u=|MzTNjN@0YNW zi2+j*)`!c)9b#!0Ra<V5C0W-~CUMGOvroz^ou>~yFMYi5cWZn#Z*V_X@{EJ&sVhC! zCGCq|CcN#}n~*69)@{sxHXpgeKKJsWxzh?4mri}Ke9zA3U3L2&e2lPryvV|NGDDc8 z=rWI6*VB$m-kZK<?(X}Zzv|)_-**>andO*tv8TghlS;<D*scVFjB5()NgWa@zAO_C zp4yX|og!$Jd6MPr>SFho3pGMFF1cmGX`z>_(08JBb7VOCvJ(+0XATx5hV9n-cvGy+ zpjYikq1atlyS>hrro60?uz0~Ks;c%Xkje9C@j>VQx<`-JPAf7}7QD$;9rMym=&#`6 z%Z7g@N}t=iBgBM-v2EUrGXFQLx9@pto`2k1NX_-q>ag{y6D%9UB8)WBB(>`zKPG7R zY8^Su#*%b8y=X#W=wizvYhC4A+xFg1Q0Qp$Y~3!gbEDFUhno~MB1+01#;sn{W9)SA z;AM7CqsY4_cGid0-+QwC*v)q=(j2+xyZicoRum;LnhDHtnQ*ux;;Yt01Mw-f^WEbc zDw5g@_LQ)REu9(L?mc;7{Y=@0?+u3UHd=|_dSn^Sls3`e`-;rStqTP^T|&w_q@}`p zxUWRS@qXp~_vNtOo+TXaDV%eIM4rq~I%zXmr{b+}p@+&bowc$PB4^4^zaRaqekm7! z=Biw$tGdc-EcrV>uHob}ss1Y#op`Nlf}pGN-JMcpdJYE*zQ)KG+*8qWYn)!)d&X|X z4K}88m&{!4r!2b8eE<FGIcw8%%%p3s#t2OCIWN38$(SQhadvS8LnEi*k<#fFQxCm= zX{;U+T&ca5YpWn*SjGZD#!XYFofha=^IY`Ig4GeH&;8sLXY6}*+qCMpljhz%Yp_#U zbZ5IqrI+|>$?lZ*Qg<GQoPI5RD_)EF<is8PSJm>&T=K$C``$k4u%x-;nBjq!wQlE6 zH>BJWZhahY9JKy@Ot9$clrEE{58Zz<sZP5o5or>#BVFAx_gzATPfvqRYR!Z##SW`` z-h8@t$cB5lim<B$gSf}jD~w!vR{vEz3mI6eCE}FDKR!#pcRpISFWrR2v*@t5ro3#V z_Qdny>NnUA_ufx1zi{2L>~!7iU3Tx{cJ4Nwwj+7TCgW6J)9*WW+H@#!|NHKDY}Q4V z*7Jwj{4-LP*8eh{{9VSMeYa=0-2bnMA09dXmw9t1`c8}d^MB`$FFbzhqu_)|Q~#Ib z%;PzcCbS}#xz$|TEim)pe7l#GI@xo6?^B&C#48|{(a|wSVd}PZLDEN0Oqf;lbX$Yq z2FF~+NUhl9$@k*+bR-@5f8f^1*e}y}z5o7iH-k5OL7Bt*^65W58?wIgY;K)8`M;Fx zbHiA}Pom70yqD!mgUYhsO*306eAe~&r}wpAc^tx4#oqfOpm6({+TWQXr?z!FPh7H- zf$Q8ROE-7p=PT#U^>Prd=VNx9erYjlf9w4ZOCw{?CA}z1ue4;zJ|$wj?*hY{iQWa< zEwv(_|1pi0o@?W~Wu0D9(_v$g34X@kWaXya>^lE*R>H4zr$zR6_x!xEbYX_}3sJs} zJ7->hvCy&iXm%Vc+rC~A!H+o!?8oOi`tct3KF~DN{ME-dxn3Kl=nDF*IMC6(Qf-GS zhlvq~`OcGKVV?v``&LYTl%VbK&n7hB@UIt#7TlDS*dHz7U%>6t(ZOP+$m%C_fVXtZ z8@K!otoNStgulI{X?t$@=LxR@Yqst?*R)?nVf)`aahu&4{{s%z&pMc%yf^0S8$%{V z<-Z#k94{Qby1;pPPR4HG6_cf2)?HNHeUIDjoN^_T!kYxw$wyZGzwA7%>5ktmTVC6@ zO0S*s@(c~`#F<z`-xZza%31MM_t>ob*gMzX-hG|%Cbw?wZ2#Hz`<=NCJF-l>Jb&Th z(+L|lX=<vROwvE_JiY42>#4B@#_Rb-JA!3{9DMh+rR|=xf1`(sbJEia&UfqN19%=g z8gI{<ag5#YeDcHHKW+){-OFUKTk`uti8ZcDbEaLXeR0b(u7=0=(kg+;!Mi8#T71Pw zA#n!NeAP3TXJ`1<^S4J_-qlpO+2kgJhq-$D>$=P%Tgzt8x)Je4a!&lgw6{xDPVmSt zd86lCbUQ!hlncYsA2rjWCD*^6!&CZX=k-^?c6IWezh1FKt$W9^vA1~fgKBvbr8U!o z=Ifq)Hd{TU=xXv`ap`5v4!5hmuMc^0dV1Kab&H=Q<)p<h&AM5;_`vDOp|5#2D{s*K z`#;`#Vtalo>#|Qd^QGrDUOeJtclddM82_<bQ;nl`pZ%d)_gpI8+?IngaZ7IKtNm}5 zw0`ies9||tXy?~1-kQBHQe8i;-ZJ)U)uw+2XHKvs{R}zy?xaSlxrKLnO~(fJr8}(F zrO&y>cTuwcxfuh?m8iA%@>Op>KEI4b$Rgb?Q0cDr{N}amJq)8>ExmQ)Zn{2yyXov3 z=d#vM3Utt{+dE^oL+iX5OM>(doVl;|W9obBmm0@}@@8&Z@Ohr%83sKY&E8}B21*7> zP6Dpxow8#2@tZSS%xiQCe`N@Ihy=6+$H*yfP}?P`|8@Dai9WBsG;~N+d$~8oay^~* zc<K5zZ<Dk6dKsUZo@Dx|Z{gmiZ~F6BK<I-xZS2;K!l#=!g_JzBe@p$(V^j|9U#)uf zu4tu%-(jCeOlq@U-|kamc4=|ZGUee{kf_~lKF6|Q?tG<)OkUZG*PhRb2oQd|A@SrH zF#!hlZy732TLLm~8TF}~UUI0fEPHs9<zuKy*HYJcB@s$Hg;G7zayIR6IvZu+usP~+ zM|Rl!J#*$aTzF!+YMpD`y1*4l?+p{J&!_#rmR0uId+mY5yQz~sbuWGmy4RZW#-Y2^ zTYtr>*rxSP|IIJE|Blv_PY}|vs#!m`q$MQE?6vuhzokYT4gI+@TiTBG1V-mvK7aPw z^{IwayM1TBy5JKY6k+gZCL;r{BLgGTl(K}$rj~lQG}WE>EcRp_kk@^vEuSt~^h<g{ zm&U<{iKk=v<+48iko=|7_S-UT@ttFOHS)<O`>Z62jkm@h5q-GDrv3i^ZWi4KF^g4I z4qXe$_g2r}a!;-3?__VwCy^b7eyShYow_>Zja<e1JC1%%y!y#P-y_1RyYlI^KT(^b z{Pw=f-?W51EW2gP-lo3{wLZ7E6)UE!s+oM?(8S$u6mO*E8nK^wC|mnv`#))p2Bv(T zIi{Ao8dolVZYq%C5S#aM-%RCxq21gQ)<jgwcTZb6DY#xv?04ek)3f~TmD|4L=35+! zxLe(_H99@9{6d^U{<6<e2b@&*Pd@P}Z0*EH5A)1B^3p0L_+DQ>`*_+CuDw<2(%s%! z@i!$omd995+jqkMaaq~C_r~|QWqJQEQ;xXRXI?&Y-i)WN3>!W!+Y|iyz3xv9WmTUG z)%%w1dXyht-MTSsB}3$@-+QiY{3fxv_J4T!(ie#)Ap#ytRFCa=FK4V0@TxfC+#Bng zdQbmtJ$zyMxsW4UKh5QvF5P$4VkK+OPLXc^w-Y*JWcF{Hy{S%g?kS$!-gPlroZrpt zE(<WMIGdaGX7_KuQyRRDQ}-$MEb>TXU`fw;61HHy&ROH=?Tg(UcD@fVPiau^xcKXO zXuQy>+jB3mPLJNv^P7?1<)#d0b&OW@e`%E?+|}uN{0b%${7+li-%MFDBlY}3kv0j3 zM(Z_u=5hIa=wV{bT(jto{QkQY+kZ~uP}x6cRn-GEuW1XX`6n(}`0Lf?y3_ZLrCP3C zaHiqzEY4jy9|G<_%a8kzG@Dr}eDU=O|7>5LpVzuy_q&>wVA>`TeebHb>fh(@y<a24 zrYe5-zC-n^((WU^MUL`w-ew+p{#b!2>3D91jvs^0gwJm#m+jbk>(Gk&`YW71{ddnj zoE>vL{`8u&in^u`Eu6V)xi2-}3fe4Sm)9TnXXb>k!z<JKxo;bKG)HA-C%@a4u2eqf zj2c60WQXb2-s+uOb(wU22mPFo5iz4vG-rnEWe$emAa5^8%T2=G8-2`<D5WixHC!p{ zuF%pI95#b#%Ij@)k4+CR`w_6}_$x_i&al;f^HO^6CEoE)b82Q~U<}#u&Mi7tdU;9B zRj=tKj-|)nE7fGmYR&Gbk+N4~5NTGCwEO$7)$_otKkS-Cb-N#z<}gU*Zh!vFI=u8O z=hF*5*CHn{Xc!8nS}!hUoU`d{E!SPXAE`O~_5KNL0Y~LrG<j7M=g;_R(;dX5D0K8q z>MGa%;uZPJ&0XY*>RE);-tI47%Vf*;poq6RFn_z)*%%p32Eoav>Yh6AKU=2sZei5( zQ+a=WGAeLf4L-B>)wvmrf?nqgT^Oe9THPFczU*p;)B{`d6)Ppoa*PDl1}t6f+L9_g zQGmr_)5;X@Onz}ekrH*r&CJF7+MfQNaEW_w&97upl@*d~a<7-3-rc<P!LNxEbPvw{ zJvH7na!tn5u(Hd&tM1u$PYLt%irsqeOsL?|@*@Ez+hr64yuLN&7=Bo6+>-ln;zvWf z%}?iWd1%}0+FRiv@u(nG(12B2b=K9Y4|BxsI22dwx9**{?%;)@XN6mK?6oxHSTWW2 zny@67oROo{@eguGPuZQgpKf<)UMWKuhh5n}!x~+lD+$`yc3p4YX6M5aB3bR`-zPf9 z_N47bx$wyq+pRU;EwkG5MD<CH#G#$nZn}uyJG5?>S#Y7`r~0WG%eu~dFIs&5@}75* z6WwO*7Os(sJayTzQ0SwD<_|U{&Gs9vjSQ~3!mFOFoAFIB{?N_pdmCk^hP}TTF>_XG ztkQy8lh;>o*qywyL*dk2-GD63`AJ<0n=7uK+kdtHu*?C*va08t8}b>?@)<9?@}P1p z<8DD4t{bhKJ3}}FT-WE+7pTaw+@790*~m5T?wv<xr#}nXbA$J_Sgreh(`&PDZa;6h z?x9P&w*=F{wmtu&-zW&YG_u#Z{`l+nwyNabI5+Rg`Tyqms9ryEz>_`X&$Fj<?6<ZY zx~H>Y3F~)u<^xZrytF@VJy$MUC)&C1%Iz)gJ^969<#QbwS{CrzFP>?@z<6Ml#sUS2 z*{{xSo>~xP?jq<}cr*X|o`e|lB|Q-q?2n~-mClF!*88dVt4U*Gi`tSI6`c~QdGEJv h%N6n4Xuh~7y<+~u2S2WFZvUtEq^n?|;_Q9QP5{$-B{Tp4 literal 0 HcmV?d00001 diff --git a/data/SO2.rda b/data/SO2.rda deleted file mode 100644 index 155e428119e27c122feb87d6a344c452ec108126..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 2099 zcmZ>Y%CIzaj8qGbTqPy8ih)_J{y!3^{r~?joC}k=z<Q5?^}qp!3oIc47iMraFeNZ9 zN?>pX5ljgT3=Av>7?={&+-5K(FwE#tQ)W<OU|{HB5nzA-DG0^D3#H){<7M~Gl~0U% zS1z0FtN9|;X7Z)9#aA-7n$7Apn3XwMisR%m2Ps~o3`r?oo}LDtws{RR*&HO<W(Y_c zF&MN7JI<OZw`}GL69=ey8Bp2;O2a88Po-HV%U_wy^KrT5@5}3!!RB&Pu&47?0<+6m zQ~!&?mzC9K8GGd#<qB(V2z>0zWh;CocU7hDEB9CaB42t}&Pd8o3qIMXe5E?%-pXIR zoG&yt^}aNl9IaAq*!OA4+CMWgrm|{mQ@Uk&bn51rkB%|9u(=#&>E=+DtmtWH*0wNo zs6JTp@1&ipf%mU-`_+mq&pbSrZY=PGDNofdKJdnZLe3wC%9bCWyGF_^@ZK42F#pu* z-7-O5Qsx28rn#Gb?p|8|ZO+C*MdQ8=y=T6#SY7^*Iluq+9Hvi2(Jw`0bq(cT9gDV$ zHM31H-2CBN%<L%UMW<i()YYAR>5=khaYE#YCZ6DZDXDEj#}m@`^4(jx!lbkyAn~Dc z_`f5MzT8ncaiD$u>F*zHgQU66wHuugRCO;ruP-@wO5x_SmQ__Pk6)$pEdP-Az@hA_ zrcbEE2c^GT|I9l#iF1C!<*S^BP8u@B9esY=<+!K#Elu_LQSE%Ji=SB5y<)WRF;o=1 zQK|jZx?`*8-GZ;yTvHovE*0H(`LoRLH8C2@Oj&!gr}0iamSAp`mVfR+<<@ulIhx0G z*Pi?_qsT^wJtjb>UnN!|+)QjOk1?a>)Oi(45}FR}T9A;)_J7)$&B5DWFj?&S=|1KA zmm)XUoOOBriq~R(AK!H#pG`G(O<F>Q4bP&P;uX(RelAqH`%RvywYlktGvm#D1{OS@ z88<NZ9PW0D_Kt3T?mTa)^WWzO1vRYKO!r7CHO_R9=}6>m(7U&@^UXpIcCI;2c3nxf zMXGOEWJ3e@Pc)S>T5@_x@}XIY@8r2#Hy>-c^Oo(CHix-bQ#)HZSEP&QvogJ>u~O55 z|8`2Ad-Evt!$Seb_7wvD(+}Ibt8{s^C_bLWJ7HRY^P7dQ7km9#WuRTNpwpCBd(NJ> z3(5p$sW$dzUdZ&y?M;95=;FKrhYw!Nst*e%mnz$KH>Q<+^x^bsf9cv#a8j$~G~=?s zpw44wHf-Iq-|<3c(*9G%hxY9`_tDI6ufmOsENM;>zk|PB^S#M%x%RSjyS|9_tLo5& zN>TG>O-!xYbXr2jr}Tz$UJCQqyy#g>b&}rC-E2PnS@BwUsce`22Q3LngN0YNz0~XJ zyKgMdQpokBUdi{-)Sv}9Pu--LG)nS!dU6Eo94arKF<tTdvDsz9RiAd<4*9~c(!^)A z7x#6wifc<O#3gg`h5flQm+SB1)V|+a*8cp2ufylGUzH~_EZwIwzP<2?J4wQzhfh*Q ztfOa(zxpBBbDNFMKWsegSg6N-?0E6o<yD)rBd#sKr0`UR&!Vd8bI7Wy>&vIu?-hK% zFDk$}N7k^EgD0-+lBwv{`gL8?whMf!?a4cpbm;8Ly)s?fibS&&XBN#^F#XE2W@FVq zR%!>Q$+Jv3%>VB4&Dw+&pZL$$#qF1mos#>6g{wPd-s>IK7QJ;xta7Bz3mbYq^JcxY z_293RkF7tOyr1TZMsTOE{+^s!_a|rGEpfRLo3PKv%=fI`CMG`jZ#m<UylA~8Q{s*} z*I&D?{m&`-NxgZd{!gxK=B~$OS^8}E+gU1KUVk*-Q{*tSp|8BRec`<q=~F`MuYGvM z<#~Ui*m;H9DGzIGrUlL1=`UYgc;ubXnrWMJg{<EgXU%@_>EHHAL1Ee3^scwharvz| zD?h)&=fg{uuM-!)ddzoEv0=4-acKIT{ZALWHcejVwX1exzlwC1cWwG*8%yD<)2pZ5 zmM@NrS$#`-jnSGM^MZR-Tf)kvrs}@9R#u-Msa?J!Le;(Qh0P=b^B-{~>l+Mt0*~G^ z`)GES-BtJGyq!+-S9KIw7nYx1tz1<tCh&J5>-sluO-l05q`Mi0?w75+Ao1#6j8F29 zX9r_=>q0hkYDFy1Q!oGX#;JR8({C5|sCA<HCv2Wfyt?(>MZKGSW?^Y<+Am%*^1k+* zxp!|}+oeZ$?r69F_+S}UaNQ_+-PIBX4z8HJN)K5Wy{iN-1TSRVaG2xH{x_^MCu+U# zunuzEGO3&8-}F!R@uE`KlNYQjy5$?S;mW?L!RJJDLgk8%NxzU}JoH7&)$7#Z@caXH zOMEwd{e7jBec9=)1{cpBS@_LH)A6mr6J^P_2X>!!2`#>}nN9Rm)}EttKPXntoz*$B ze{M?JD>-eAqWe`lLUwHV`ddDT!+(e4+KGF1&3<(5_EM9|D`$j+-B$n9T4~wIJ!i%4 zHEWmn*uFOokXj{gr(E0r?5;$}hZ}Phm-O_0;Mjh*vfsM-t=*X)N_HRDt($N>xmo{J z@UEiH%t+zdz3cu9cNzV;(-r;6%H8+$L4$2IOPZ>6L%vO2{(pB%^7Qj}W^Hu#KJ{J8 zV5XAx$!Ck*Cln-F&FeF6|0ed#BD#icdeWB3eZ@M0-<F<zE@IMOGW(+y6W22SBK<i! zcdEPkzb^XtO?693{-(&f`hTgx=4BVph0pnX=sxe=gEN+#Wb88Yy;ocoY1iCva<=fj znNv?b{xyG*`IJv{cjolXyLf2XlaTU5va2%poBGUqb#ozyghMxv>6iOIc2Ckg)Y2Mo HVQT;Y2y)(S -- GitLab From 5de3e8d38dd4353c1bcbf8f81fdbaf2475fac12f Mon Sep 17 00:00:00 2001 From: Eduardo Junior <edujrrib@gmail.com> Date: Sat, 22 Oct 2016 15:27:35 -0200 Subject: [PATCH 20/30] =?UTF-8?q?Corrige=20dados=20das=20a=C3=A7=C3=B5es?= =?UTF-8?q?=20Globo=20Cabo?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Remove NA's que não fazem parte da série; - Corrige formato da série para 'zoo' para que as observações fiquem associadas com suas respectivas datas de coleta, uma vez que são coletados dados somente em dias utéis; - Complementa documentação e seção de exemplos. --- R/Globo.R | 26 +-- data-raw/Globo.txt | 461 --------------------------------------------- data/Globo.rda | Bin 1396 -> 5023 bytes 3 files changed, 15 insertions(+), 472 deletions(-) diff --git a/R/Globo.R b/R/Globo.R index 209d162c..15a847dd 100644 --- a/R/Globo.R +++ b/R/Globo.R @@ -1,23 +1,27 @@ #' @name Globo -#' @title Ações da Globo -#' @description Dados sobre os preços diários das ações da Globo Cabo, -#' de 06 de Novembro de 1996 a 27 de Dezembro de 2000. +#' @title Ações da Globo Cabo +#' @description Dados sobre os preços diários das ações da Globo Cabo de +#' 06 de Novembro de 1996 a 27 de Dezembro de 2000. Os dados foram +#' registrados apenas nos dias utéis dentre o período indicado. #' -#' @format Uma série temporal (classe \code{ts}), com 1037 observações -#' diárias, de 06 de novembro de 1996 a 27 de dezembro de 2000. -#' @keywords TS +#' @format Uma série temporal irregularmente espaçada (classe +#' \code{zoo}), com 1037 observações dos dias utéis de 06 de +#' Novembro de 1996 a 27 de Dezembro de 2000. +#' @keywords TS TSI #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A9 - Mercado Financeiro, mencionada em diversas -#' páginas) +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série +#' A9 - Mercado Financeiro, mencionada em diversas páginas) #' @examples #' #' data(Globo) #' str(Globo) +#' +#' library(zoo) #' Globo #' -#' # Médias anuais -#' aggregate(Globo, FUN = mean) +#' # Médias anuais e mensais +#' aggregate(Globo, by = format(time(Globo), "%Y"), FUN = mean) +#' aggregate(Globo, by = format(time(Globo), "%B"), FUN = mean) #' #' # Visualização da série #' library(lattice) diff --git a/data-raw/Globo.txt b/data-raw/Globo.txt index 47b60b17..62024484 100644 --- a/data-raw/Globo.txt +++ b/data-raw/Globo.txt @@ -1,465 +1,4 @@ x -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA -NA 1540 1510 1480 diff --git a/data/Globo.rda b/data/Globo.rda index e88dcd98a489555a97956a357f1d02964e44bb83..d7b77bdd8a0f24b513e6f4f5fbf70e1b29fd92b5 100644 GIT binary patch literal 5023 zcmZ>Y%CIzaj8qGbJg>F9gF%A*KSA(7;GXe=4-E4e7&s2><G%04&wN?8yz}vb1?scU zK7G%z;lfJ!PR_{zvu3fcTyTLQgCT=I_}21SS-!Sz&8KW;^#?Bg>cC*cz_?YC!Q?B$ z<x7?R8n=4oXG(chd&vbKTr__{=ccUcz**```2&CTZdLi>f2GZ(fq{X6KY)R88HmBl zz`(%E%V6uk=5XZVV#j6oPE2x~?7N`f(Wa$J_~Odt%Yv`m<Tbf+DCKYPl~0W;k^~ey zZRRbSzo^QGrOMx}IpnNxs!i}^f6u0V!4)T8eDTP9Y3n<sYW_;OiL(ryPgVI}ImPdz z`P63erMf9!ZPhmgpXsVxG;dbMm5;s+y^{XIinhLT^H#o<T6T#&)c*h1;Qyha9*I0m zDMt>dF|eGR?8Crlz`)tSaY4dIn1Qo_VFqUd180MP0RsaI4}&tp3=akd28Ii44Hqt$ z@EXc3kXumUVshc~ky*SZwnptM7jBt1%Q;hWQbq7(wOLX#4VP5;E?cJFxpK?And&Q_ z%s9Ew=2Gv=l}5I{w*FU5GE@ST6sIT$e3hG!aUq2*t7_ijOsR^jdCRWI1!PE7WyyK) z2UN{l_{!wVm6NY*)!H)VEt|J|MV0!Bn{Ju5ljbd-9DL=gz30lwzAya+S3XLaXKLgh ze8tu$%Vzn?$(Ky(au+^-oZ%|7x&QLjr-^d%0<q<>ulm0q$ou1KQS4y9vG;0;kmJs2 zsq4QTy?a<zI3_m!TStYmN=x<b%(=>~8ERG^?IYEvL_Lbnd@=d-k;`{nqZYPL2?~3D z<(}%q9hpLXLg9Q-$sfWm`0Yz9-YLJnD5IOX>+SAuuKagHrIv19nEuN)KOoh#=Jl!D z%?C70ra$ts@A=-^;{Hi0Ktn~+;&*j@+|snPrHx{(0)i(5jSl%wG<8(wnB_BhiK>Lg zPo{-)1Qv=r33)e6e$XJ~BGzcn=)>}#{Q}1UjRSp5369mZ?%lWERmiRjm1w#Dt2(Te zLnG~hCWk7A$`db7Zf^?>CO_ep=VGo$-Hbn{EaVWJY2o{$G}Jiw=|Up|?Gg!%sU}Xv zGrdLMyzwh&?OJrwTA;yozmJ#<cX#IzW25tTPIye5(xh=}^&BUjO{YV{y3N+<xGmV~ zwQ3>f0og0Lp1cQ_c$u`sc0}d|^{tF3_Y(-3DG=>DNr!cfOOZ@kH#>*=Y|amBIxn2c z(M~?nBe>6bl9{e@%+=P-IsTn_EP~lDY^Lo9JNj5~xs2Nt#p7y6ZZ1q*DiB}r-L}_c z8^_5^nHLH@-}tkYJ=9J6ik=;mnP9nTx>VEICN3{AZLja%Rn60ssxGxC8D)Pjo^E#g z9%pNW_q?6yU*0Zdp6DIBH%US+?3HHP%a=EVIG@YwmVMzev@3cz`J1ck-Vb`Br{@cL zyG>fb+tTAakxxotqtKm0K{s|+UCoV{C)i{B)0KsXH-nd3b>|t$l+3^dMG{)(rxbX< zU7OM1m*Hwy_B!QLbo#j+f#>HM*!3z3Ts%MRW$~pLwOyh|O-q7pl+%-6T%5XVQth!t zQ7^v)-dXf2<;H<S-?rLLWef^Pd^hdfi9OO=Wmu=TecZU`PX4~uGYc+wE!Jmrn!T9q zcI$~W^^cRS{x;t%t1`AP*&TGY@%ps5{LQPZMNby2nC|av_DwBLgY~gR;iW&}&inWM z-t$&J_}txFLAUcK7UY}Xu&#bGMetzV;$2%eemfE>#Km&JZHCZ-rW>!SI<Khw>fXzH zYx<_;i<Y#jTk5^teIYvR$I5la%DZkqS!%uY^7b9aZ+$m^J&o<He_mWT|NFo8<sF~J zV|Z1H3(C}g8$U~yVQ)#UeUKxjD(krYwQ2MN2A;tE912378H-saec*nkYrpr@=enY0 zfA@GCGt4vWZsihf6FIa&BVeIJz(S{1E~Zu<rx}V)tp-l5Tp}7^Av8*}DWNs7H6dW3 zQv*nY2uq@y0*H}-&|nDCdPF1O2*dzG9!HRAtRT?^8etM)AXYF7L=tSe!9u52jzg^+ zhuRcDD&aC<$sWfJh&v8~3;<ar0%Cy-5N#7}blh=F7vz=BUGIxNF)A=w%n-XLRU0TW ziGg`ql2=ZE$YYV73B2i=j2sNszu$zM)aNdL@@T3Lqsru$TAMm`qJ@H=s~`9lZZ3I7 z^y;M3I*AXXpZ#+&KkJoh6#c-9>8@sjE4%+~rJ07SOs_49jSikz6qX`gWfxeJH)%bi z=DW?zmsY>h;<bL!Wx%dGH>LlTXZ?wtd%c!_kiT>+|I$XQ-94WYgYSfMq_W)Hw!U0c zxPHky$48f6hnHVzTq*lqSNneM?78<}ncsVPuw!k2XqI^3tJO9pq9&)>Q^oh1{7S#| z>P7UNUr&Rl`HCf9&R0~;URog4QTz7YGj^7WwfUM;ZIT6D<^_JAmt9`@{ByBpr){T^ zeZ<zd3g((MbF<zoXfAg=b2NU!qt!ZoQ>~1Aw@&$+ygk>)TXNHb>3b)8<R<R9xp(as z``H_Br98=;w7;dbrK8LC&8~C50<WcqDazi?lwJ7hw%}6+%QqXR?S8Mf?nl|rxZ~Ul zRv&w#wOUtN{gH5>gOY~SX{S4rwv{|9Z-{(+{dhyTF<;d|_U4}~4U_wKEAIB+DIPk{ za>CPHQsw+hSKj?-saSI}<7Ase^U}k!q<_9i+St8+VOVn3<sCC_s9A43le?*JNBSi1 z#cjS0c1fz$EUVH29Imx}^^Iy0T_JtN)NRhW+%m0Jo)gRp=U=|gbYuM^(6d<Ufs>8% z)UWD#dZ&&kvVVEpsyM;;&H40~oU>jxYzvK*jhs-EE>}6JY_jGxX2z)uQR03Y3iI<$ zS!Nu%vAx^bD?NE>=wW4vC#JU}vzNdAox@vdztzax=E&1~-gA!STg6H@XZT0*dHv%3 z?r$UU#c^X<nWdER#KmqsPfkqE5w?CDUwrS~BWWF{r!n(xXS1ziefU`6`;2WiN598D zk-vAzEW`9gfrnMR`H2_Sr<}OXPr9el-{Ld#kMhH<+oi;Q9B}6piZ(mc6{c}ho5S+p z>Oazz9qu!ios5>w75MU1mSt*G`7uHL%YnPsO<I0!O+wsl%hpAHE!+F2$}s$BVb)Bs z+x)WXiveHi6(`N0Ul(IUUVc~=a@fFewq?i3CyE!G^ip&BmzJyv7E{vhy0d5@o0_iT zteLKwul<cSzYw1P-Ct?WchB?2iyxmiT6{+?&3&`YrS^?BcckyxzJ2!V`{e4~dp_!$ zT4$f#`@XjF;k~SK@!7vm+rF1yCNbMnA;(F=Y{qPl9LFV@Dihf_%{VvYZeTN1JEAgM zxMs75!jT)3GZpwUSD2W!%=TcJ?by9KzVVyxjc5Bx4X#@;ayS-UnB*kw!S$zS->aP| zTMGAo*}T1FURF?59M`GP6URQTp60E(=%U}h>0&QeE=x1Zh&pCG|JC#@MRD&Koqx3^ zSUy@+VrOG;J>2}zqu0`XJ_VOD4c7WR+3Egx*+Jn@FW2YwbL?$0SU28_ep;-f`m9+0 z`re=6H8X|v1LtmZoYANqY$AR5qip7v3a<d>T~Y`19JD6Xo>=)MO8&Ik>(aN=n7Z25 z+26Y2&;LMI@Lg3}sI5&y|GQ)FJ%7xT`;b$z;rz>wi@$!!)sFUm5S*5M_lV2YZJBYW zF6)#&=U3b6tR>p`YisN=+utwm{aHO>YR0q25odWT#WypbTXuG3@T#&eAIj1fPTIL# zl_x!*^Od^M`B?&gUVS<gxuojH55BXnWuCpL_x<bWwdp0V19!~&mSbzod(u~BT#wLE z`<J~*>(=F4Kf3~MO#7Z`vG-@l_oYS`Z4IYZ6~9w8J9i^WZT?BGOgoFY_uk0vy|;hP zzcV{s|8#%Wh(GYRQgN#AeDl>tyHw7aT5f$T{4rMg)T{l)$2@duj$QSc@py|(kOO06 zDA$5Hx#dynOA3B-w!heQ@%`(o7m9x0p5^yn^668(rs&<F?fF@I`Vuy8TsQqdp;-Mo zudm9EAEs{L{W?$gnBT8XN&Dcib!&7PwcmyF*TzOj>=qL(P-xJ9yz#VOM$k67=yJhh zul^o05@7S1C(C0y?~zUPuITBm$4V!Dxae*@S9iw}e@UIrS!+cM_pPsLzN7Ny*@}f{ zR_dMAOnKH_dzWjOK~TY?wX-^A3TZ3pXcY0!oN}}=nuRgq?0NZ6?kKiTxu1&jbb~jp z%j`WV_Ta!nIZfVp>wLbmXS0^O+U%Dpkvy*Cx_*Vl<89AnC%bfA+~Ue~b#+`{o!N_t z>eB*F7O-Ah((u6ZP0@pkw~cpq*Pe59tkC?vQGauOc|9jv-N^}#y$v}(I22A7PZMrj zYoh5mS@~5$&WwPlrb#j)3fI_TLNzvC^H?iBE!`uhIdZn^!(G8wT%<OcPGR->^)x3Z zR3!H13LTk+-Yl+8Tn_4;QCd#78V<I3sjLZ=s$ec}dle9MUTs&h-o=#DD^Gss3Er8p z?deq;tAkwvCH94E-60~by&9XfHuc=h;?g=DkTlKb=ydZZN3|w(9s1{Oq17VO?a0Qg zrs$x{dLo!nqUD5Oh1tucXP@1Fpq0_LDk-+lrBH0*nGNQ)KCF6u3|l_W3A(+(vvy~G zVUeTnyDE(@rVc!3^)^K9F=x?QU(C|5Zl8;5;))H=lNqZx9hfZpSiG&)hDLWicYIP2 zw(I7)XOlYTKCaUKaDDxO60Ic>8+k-`NP2!;#2j@=O6i{b{mprI*KnTt`*FsHoF|p- zuVVM-|IOn*87y)oy~mYvT9xICm%j7-*1IPbztMbc6*22<iqPBw$0J*(c8IN9w94tI z@&tW>``jkRQ-m(bu_i<%#F`Y|I_JgZt6XtWOyZr*he@YX7ZmmI?@i*A_IjYSZK~b= zW|8T6S3YkDNjhOLS?TaCX4k`_^LKhI3|3^C>mwS?!S#OG66fHRtCV<7Gd#Vqc>3wv z6V`6oqT{_IA=HA=jIl3^q4sf7Z$j$B+wqMJ(kl|m{?GH;mT^<__a^>Bb>e^e^B>sl z%~kY&`0r)R+SpqYo^$TpS-9}>%ZYa9H_wgkka>Ol$L7xKU%x$y-q)~lf7{x#?_M=2 zy}KzcBY$_}hUNBqUmecSKat@#e@3i8blBU2b#2kvtCDuV)s*~{EV?w2@0oD+(>>ZY zY3t_t1}@6=u4K4ks<!0IS&4s-SZ+4nD2X}w<FpC4Z>89SW|s^8;j349EPKXT@3!P{ z#<RmpmnOSJY{+Guw)AMz?5JxZbyX|a%-dOi|JdqcD)PZ)-}JZNPwZHwv)=b$*P-}C z^GjMAJtoWZ9zFJrz2v0b*2Sqw@2j=jgLm(^6Ye?d&eBiEJnP>s(O%!M{n)_{Gyb$7 znRD79-M8076+|cG-r68{HT}|t$^Wf_4zH<Mz}{x?_#)%Rj}l5z3nRkIT&t3mZ`pHi z$>%-y`EK(+``Z~;zCKT~{unW7nV3(6V0;b__cCjvm??AXo_u;X(Y>nl+oIReYYkVt zoUqK~`LtBwoPU{LPNvTHsL;RIvoG*ybs0O$v<Vvn1cMdNE+}K&A6&%4^Xt|5lSPxW zmapw&&)qujT7~)H&FOb<C$I~>kaCKcTsG-V-zm#8&o}<Hjpt51Rv2=>ymEu&EaORX zop0RtYTU|K`1nFuLF@S)4L9ir(h2IxZJrYpmb_t&*t8<$Ku1ss>)r<%b6l(^_C)pB zBn2LxJX>v3=BhxS*ak-Nyu_GG^ES-Zx!SVWDzmfb>a~dSN=Zri^2wPiuiV+U>cAh< z8`pNNxE@f){i8aYdyS{nPWzrY>KF7)=Y9RUw4`>{$EBA74w@|a6y&|@`|)+kp|6$F zRCofjLR;k@x`_8Uv?Od2h|@iy%sQdDF;C$|+7U5cj%LH(9A3Q)&5e@;3QQgeKic9H zlI|kKD{<=94b#RYOW*(VHF>+&GlN^)-@<v>VWV4rcD5ufxuh!Zz<A(Gqee{l^_8MB z;?}H9W#v}07r)9aS}NnGw{ZT<)J>r?W|-!kmHt*4qMNrZX1}uh!K5inYZqojG;BDs zDua6)L)by~t4R(yQ694$G!0dz#U5QC62-hRVPfh+S#FQ8D6byY>xNv*6ea%DzYY}A zF;Pk1e8F{^%Jf$WjAr|?J(YX}|4Rv!O#c0Odwo9B<T+bEoONIQNRHoU-ZrN%qCeT? z<+K}QX05!uHudC(W%YLNJU8<%S8C$Ryrq;Lz4>raFz*NRqvzI|JkQj+7F_P@yyKI{ zI+3N>`#rK1-`$yEZ+iCiuhMb@9n*cx_bh6eG=t`))uwzhh<fr(_^#d-)2S10nBV#3 zY%aogcH>;O(r$OoofUeqhEtZ;pU-@{?RfB+H_N}R53=w!%lUSOanA-elf#Qw_?Iwz z7UesnR@`*a&$pwE|BC#Is~2vIh6Y~Q81h*0=lAyO&E->;G5DQ4J|*P2wR`#3-5F2& zE+lOUxYn~t<wJX-EPu+e9V-mKz1Z4kKV#>Sh+TOl&u`jI*T|8HWv-hWm+DlK{N~)w z&(Ue!75#>7zANvXE<Ux$b&Bt8gB^M19nlJHyB2D2ox7;B@MPiK`agOV?MZhEMML-m zSbHYUUcC6RPtO<b49#hmVq1<piP-(ey5o(ZVVO?T(Ld8}Y~6dcHG%05!}Ib(bAveT zpWV_EeEM-ix54J(Cdof<lu{Jhp3c3<t)*#mHc4b<%CgCtj}PtDzEr{c(B5e66g7XA a?-S}%)^lIt;<W#<dy?j%mbS`J8wUWbi&BaJ literal 1396 zcmZ>Y%CIzaj8qGb+<S1|X$GOJ|NsAeb#V!CiE;5c5|Ub1`#=6a7+iG;b#p0kadB}C zV3m7NsOR0aP(e#*qE=OZmfO5p^X4s^)t@!bedWquGu`^tr{o4)b~`B@ka2-O@RbSU zVg<&<KK-6=gHzd8D9u~OWU_pj%a^LIx|OfkCwtsje8k_0+0Eeu1KW&dWsa1~iX9h@ z*s3qcs^U-xV(d7<z`(%PzyJd*5<WgNI2#R3GCK}18gN`zc4Nw%%rH}efq~<oNrHmQ zl2Ga3E4TWuT=_Q1KG=QAt;t^kKJ{n$n!i#qwDpw>xWMDf%W%Oc!_dUmSy`ddHu%ad zSJo$OUneKkPm~H=x{EhS^isFB_F8wVmn=*I8ZX{0(TvdAA7P}#TJYj|zox~(pUSO{ z#sUsaof0hNg;IXs`d&<#G~rlBgQnF5jezjz6_VSw9TR9seD1+9QFB*AONi^GIjrH~ zt`o%Ff;!wCcvlxY2(=0DY;-m8>TF3$xnefO!?^2Ux9Som*WB!gbIu`RIo(!WYgX+t z6`8S>b@JA=8@X>3aA>}cyp|$jX*F}DsfhjY?#O7@E6E}6<}nCZ$}&Dx<;;0%vLKS> zbgNfnmde{Tr&``FWM-Q7X+m{lw1aAnXqMWopQ`*z7dSMp6n0@VE>J(ranNXjhuTBd zrl0l297`k@N*?0VRGF>&X<^$=#m3gyz&QyS3r@Hm-_5tK<VBYG^sj3lA5H8`33tzq zUA31bETx;NT_&-{^+$<Y4(n0@Hw70_qe*<bj~2vu-q7QD7a&!BG10N3!`QdyrjNqh z2_KSEj2I1P9w;)iYrm0xN8^az0i!38+EpRSDt9!4HI9Y(wY}yqPPfb!J1#VPlEk5j zWu?D+%I4-y)4b=u-6^eIU9he6d+x?JPW`6y#m>4uJ#^^*TG!}}N%}u6?_|7rr=i#U z`-Ix6@AWL{8<a2UFF&F8c52B#5$>AV65FRrL~ft*EUfIl+@THGwyIfs`#R6<VG=rh zQ030n*)u$~rgVKv?C9L=rM;>q>eG+BsFo}JUOorC_sskx?pA!|bg462)vIsoD`xub zmCoHeed)x+pVRmJzbv&n*z~lh!^f$n%-3deWX-xATeIhjAY;kjw5CPt^|(GgJhOZ& z*F?vPz07$FTo_)s+;MOSd3H3WVhTq?_bCpE500UW1-M=<__V*NF=PUx_&RCXd6y#! zx0D54oZ+(P$Aa{QYjV^&vsa2Q5a=sAuxW<DsweZb!kl9R{afC8sOK;}J@ou?&LOL? zPuqPz{QIp{c|7M_%#%MeESBkPn^kzwtcSbVIpRy*s;DVV+HZDiW_rET64=(xcI$<Q zr{aR!dl#njG%Ky}P;!{qxmZ(VBBLZ@3Y)_u2M)&+!ALd-Pd3Mt5T+-YLN1Z)r)CF; zN-dJOp10e!w^z}m{nH79_osR8mNLg&=M%8tk?fyze@UyNrq@($bFVrZwk(c$-mL*a zs}2YV@cvp*77>!4_(YB;bIHYZuauKhSDPmZtWZf;s=KuLMgJmxi$0?+vjvKNse<WW z53S(!(-m$m-5nsV$0pS-BCv&vd;2D7haGzZbhyP%zn%N;j*D}VV1S;BL7O<|Gt;iT z8(k5z4zJ1P6OwQ}V{F(GuA<N|!?eh2f|1AeOH7{+htyndDE>R`MxG$=i~|7?i?c2^ ztQ5$P6Z<;t@-Eg7Hsu#q3Qu5H*q7Ft@aUvT&i#A*lXXuUy_@M5eD-()+wv8Hu8*X; z9vCFgFf5RM7P)#?VS)Rc@RAZvqr6@36l|^j|BZ6A-qaE9_0;MWL(l?-hDKhojE0O1 y^U8aI^PacW9xjV=WxZT--TL5(6DN!v4l}DBvP$Js{o4Fb?@3p|LdEK4+i3uf9%;M) -- GitLab From bac823396746ebd0fade5d68fff80281c5aa1c51 Mon Sep 17 00:00:00 2001 From: Eduardo Junior <edujrrib@gmail.com> Date: Sat, 22 Oct 2016 17:54:07 -0200 Subject: [PATCH 21/30] =?UTF-8?q?Corrige=20dados=20do=20=C3=ADndice=20da?= =?UTF-8?q?=20bolsa=20de=20valores=20de=20S=C3=A3o=20Paulo?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Corrige formato da série para 'zoo' para que as observações fiquem associadas com suas respectivas datas de coleta, uma vez que são coletados dados somente em dias utéis. - Complementa documentação e seção de exemplos --- R/IBV.R | 15 +++++++++------ data/IBV.rda | Bin 4116 -> 9108 bytes 2 files changed, 9 insertions(+), 6 deletions(-) diff --git a/R/IBV.R b/R/IBV.R index 818b087a..dda52358 100644 --- a/R/IBV.R +++ b/R/IBV.R @@ -1,24 +1,27 @@ #' @name IBV -#' @title IBV de São Paulo +#' @title Índice da Bolsa de Valores de São Paulo #' @description Dados sobre o Índice da Bolsa de Valores (IBV) de São -#' Paulo. Os dados são referentes ao período do dia três de -#' Janeiro de 1995 até 27 de Dezembro de 2000. -#' +#' Paulo. Os dados são referentes ao período de 03 de Janeiro de +#' 1995 até 27 de Dezembro de 2000. +#' #' @format Uma série temporal (classe \code{ts}), com 1498 observações #' diárias, de 3 de janeiro de 1995 a 27 de dezembro de 2000. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries #' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A9 - Mercado Financeiro, mencionada em diversas +#' Blucher. (Série A9 - Mercado Financeiro, mencionada em diversas #' páginas) #' @examples #' #' data(IBV) #' str(IBV) +#' +#' library(zoo) #' IBV #' #' # Médias anuais -#' aggregate(IBV, FUN = mean) +#' aggregate(IBV, by = format(time(IBV), "%Y"), FUN = mean) +#' aggregate(IBV, by = format(time(IBV), "%B"), FUN = mean) #' #' # Visualização da série #' library(lattice) diff --git a/data/IBV.rda b/data/IBV.rda index 7f17d9bb3bc96cecfce15ce7302f950535d5f54b..464755fc1f573f5611f7b6983dc82b64a5f89ec2 100644 GIT binary patch literal 9108 zcmZ>Y%CIzaj8qGbT<Ew-gh4^=KSA(7{=c=1+0>Bd2N)O_8O#r8uzfEw{P6LE00V#f z1+k5e-#Fb57x3LH5XfM9eDDARLk2(Ny8{xhvJ$c?m3^07NVI9nb$n%#kd%@%Z*i)b z%fUst>aS+|noY`KbboPi(X5JDS(V1lny+$AZG9%+s`52(TRw5gm#oBPEGLvNoXXs2 za#>jAQ&z6;%B?mlO8qq$V4$jjK?=rZu)mivRl`JX0sD$v<;y<IzCI@xyUj|uZ1P2M zs?(|}e_taOsWzX>%AT`k`|?UkW%#a02tN7BY~rgV9${sl_J#g#vkW?4<x1L2N}HTv zG;^}BbKr}FHfPNzYFCcUxEzp?WgqM_E78cG#a2i(_`(?$1xb@Dyu!hUk^_!h*6f_c z%QWwbty-@wtN#tAlvI=D%V()w_BHWgmA;g@sv^_Wc9DNl@U6gKCP{{#|CTME<@v-v z)pyx!=iq}zzBawSCSNWFtg3%iw`$b_hKn5xCOiVX3~X%;yap@`%nm#a873wf3=GT) z7nk|Wlwxa00r~ktM&`t24V<Q`9A`Ot92bY0EnhHyLe^~FfG?M9F8M2az7YQEJLPt8 zaH_qhQAO|-sVZUL$-$Q|Yc5~PANZ?n!dK=?w$A>+CbO#CdW~#-zH(fAD!1%PioNEF zy2)}Yr&OgHyY>2KILvPI?`fIDbV5ffG}LIKhStg@sjdryRxHU{WU^vuXh4^#R)d8C zgW^FJhITy`3&q3p3u3nSTr&*$&mO&3CD$v8HQ0AsPSyWj?kBg3?f1#BFPiu-V@t8% z$@6W$Q*x}hSQNKUInSm(>AzF<W%;S+mb9Cjd3xNqqp{#ExA*l&p`X{6Fs+flAy)o3 zyI@<g{C)-H<L<NN=6Oo2mCE9`__B8WtIaDp&L@S>OMbi})WzOY;PK2f&5yTlY?jJ& z-z@HYXwTEqT}f*TiuY)}n<II6Yf7{6?Wv`&O(yJm!gW$z?ZQlTm$xag^E~a!mbn_t zSr)%>`mds%74pw2FC8?RRUjEH$6&l7_3zw!mh%#)2JbOCw7}0MyyY2Zs&L=bo0bY2 zPo6on#xH{_(b8ps(FHlpDW5A&?VLQ*<x<hc6yeF8OG5o}nNNr^9#CX=y{xsIbE@)+ z)R2cp9e0gNK#1LMX0TO(Tz1~Ywcq5_PTg+#p!4W#v%k`sle$~x>t?ZW+^qCC-akE3 zh`aOf1wWl#_Z`xsXM8P|{AONad)tiHJlQoo^>Ep=t%Wt6KbEa2{<M9Yf91@C*01+w zUYjEtbGlXIVCT2n(Kipy&XKLqo#I;YC_nKTE7uE&=*&Rv)FAD3ddodpmgsQ{?`_<k z<bUVL6hGc#xg8QR@4Rdzx3{m{slmQY`2VKk5r@6_Hn_aW{<G31HKr`o>$!4ev3}hD z)|WZGw-1M2`4Us77nU!*d&=d{9k1MTIgfa}OmK{O_vIQ>+4YkC;)*!ytm-)7mwEpq z8b8Hr7hk?(x8}r=rdt+i{qpNfR$p88N&Qpsvef#eK78?3QDw~=g8u8aZ<?2T$!2TM zE9cD~UuCX8t*@!)c9ymJa_#Ro`^B<aP0N?ZL`#={-#fjmerlR@cUu37-sCyYPxIu@ zuC<+){*!Uj_S((0?-wPhd47AlUgWp^nH0-K0a53SkJY^kv}&BTD<*i!izAV3mk)f4 znYjDTj*sTzrX`mGjP}`DWqsz{@yR4ud{>4A*Uxu?Zu>58&1(PrUh3)Po%d6DY{LGB z>^pMj_w$8wW#UfnVo?!3eyBf~W4XH7i_;!IR!InGg<ig~eQVfzxeHqF-KMWy(zEpH z9fMbUrp>$Z?AD8o=ao&CJS}5Cx_xc!(XxZnq@zPGt(+72Xs@&Cx-ISP;ydkTtq*$6 z=46_-@br^u7j8+n^>)@?)oqT<x*qXb%dhqPSEt#x&ijV_EPnpIdY=FDzsKHh+<iUa zmHp@0Pt5GY#WRonxO41$^nurZ7EBVD6CYsI;n27|Yrav<GU@d{AKstPGWmJ7HMj2C z)U9i_ZJl;)(~X4=0Sld-TA3XeI<<0%Xm$jEX^nt|J|O-PjbMQ_rw+ApiI|vZfTS2f zq8eNx+D01|I<*>diGW3+6qvi%(W#Y7bf(W5jR26@POV%_t-M@GA{xO0Fr&d{fJ}qx z<4Q^rof#3Z(5V5ef+bZ7B(Y2pu8tSPzW{P4h_ToiWQ7PTh`m4~EHx3N?g)}Yj9R%w zlr;i+7J`j~OMu<l%hn3g2k{<Q3gqfwfrSoXsfn)Bu5G$?EjsG>)z5eTzHkz-H=e(8 z-gom?Wz32SET$)GCw10cQ~cIoy!Xo-o_jU>|0x7qHJoB{Ipi`|rrXNSkV{8aiE6Bh za$7YsP+~1-$kq_8u27Seu3SQ^rmj+Cm{b-gc~t)W<A49pO;Ei3bR&bzj^)Sy?tOmo zjm<Gm<In%{+8VZBo4RCWNO#bxX|tw;iUciX4!IO?Ig~5uYQROO3sbs<R!#Ku3|SrG zqOpoAW5FVw?hq55g%ei^3W{-Eb>a$E(bR0vH3|}PnE&z9j(3l1*X;gU)2rt__h|Rl zM+>LL?pZ9KJOAO6w3h)hpG?+26KgzU1G|)j!yy4n?w=Yn+#73@-bU`ebUKGcBIE+A zZ`%$A%V{#KChqOs-D~`BpW#y|TEzVAuTlC{Mge7w(jK>jR6m2_nLg{+32E6byz+Ok z_rEotbnf%)nzt%@*1fr<Dt~``o_F<y4g0leHoBYt#kj4!z`%0&i15z#<Bse}-6cN% zT({py7Fykxw{WBOu^Sa4Z$4kvz5gY3hwzjwqH9wmCRd5HwC;O)$KmMV6*mv_Up9$# zs;!@L_tJxZpFR6G>GGLKDtz$TUNZ09(+`b$%o`r8K3CHtw=hUpGbZTv#}1v6^9pNz zec+aRC@n5>S#YO@v+$QEQ_u7mymY@<6F&Q<OHa;n-k*Z?XR95x96i3oPOp65UjLuD zaOR`l+<zJm%JQy$?D4E_PUm!xo6{9Bi(&QZU#2Re;`5~!F`et#>ch6$Pe$FT`5M>L z1+S;w|Mu>N-&KR<C%?=~<FGxuY4V;&_Ux-SXw*$}Iv2Utqjj5<C7;N|#Iu>gRaSF9 zdHg6je<f(~O^xd-4&5&)nDa?*i;3W@!yjKK75}iX)=vM%GRZ|GBhhMyZ^!PE<ua3= zZ<u3lEV*oQUrC<I%L#k-+W%T%n?Kn~q_i{T$|f)MHuY^Y4_UvmRCAEp{b*W6%g>#x z*Z#;Q9BDDzrotM<vvT?8>5;{?-(9r!U)h`fDw}&_nNPye2}}IM70k6G`Im@n*wk=& z+xf5(_ovEJ>Nd4kug>}E^lD$><CHrqJojaFDa)_gpD&vGO?sKjYH5vg*PrrjpJwmc z$z;`LpR@7K?#<$#l%*_}1UYSH{4slxZ2XJZ_<Pe|KH8wX)TeyIUDx^TGImFdmR^&X zb(XQP<AQJN-U|iu82i_6Q<?q!LgA_pT2g*J+VLt&mh65sCt#z(lJB}|r>%C1?ztQq zzv$aEo!H2!4fCQVv@DNa7XQvmd$%CtgGXGRi_AZ5_$(zDSa;;lR?E+#U)D-bKkoS7 z=QXq7#F;*KpPXKMs7hU-ZpEyNz5iI=%I3^rDs}tiX?kC0c|>1l?$(4Si?*3Ka4qF* z&rOKpPG8S|@3pYg1i=Gpwrho3-E)3LB%OJ_@x#Z;yVvB5A0|Fbi~s#j^q-iH)ZP2s zv3sANaLQEV@ZHm5{r0?znl<0;)>Uhg`12|{f@-~Onnjj&=;_~c)Y^Xf^KrX*9rCZ= z++sRwaelg*o=0Kes%bZh4J?dr?KcoE-=^iMTHknc%7IG`>Gr%c`lC}EJe<UY7RVoK zY8BbA&`iJUoWi`1$~z?H=Wa4Jnmo<vR*cZ*=jG2`p0kS<m<RvebDKxs?WoDGG?RnU zZQXop?Sp%~C&j4lP@DF^@!T7i=b43EPY)k@tH-azy3R67W8JMsv35^vN}jN-%kxqD zQSRBkGRLGKDUSKgB7VWE&Z?Zg{SrYvE}Sh3UQ00Z9%%WI9N%d(qtQj@<oXxfQv@!& ze7`fynBmlc3kDtrLK5evGt4-B;FnL^s{M;+UP;g0xoey2`I>h9?dwvXq+V73b@bz| z?v3YIB@?%YikK9--+g<mzTQ^E)vaTF)0}S$7hGSKR4sQc-2KGdW7*C7X3W_CG2c>T ze@v@G!J~%_k5t(YZl5BzbeGZ`zZR1vQ)0O`Keh6)mSYv;lL|f7v-vfzxfKs1!$sat zv(2p*IJ8bu-nCAx=uqnE`EM#VyqTeH?QPJ$Z_AyB=h>>*&9~*g?0cND_}xPWHuf2Z zN?Jo2t`^P}%4?mnuV}l%fk*BJQ`H!@i5@HRzHe4pZ@Aei)yq<A$%-9bnKoYRMfRQx zSN>CI)eG=G$Gk&=;TexW0rwMe&q!90y$-6(i*ye@Xm>m--r(cup}P2mY#+al9p8#+ zd;u4jSEx46&}0nMUU0OF)r;FT-Qg5Zl+Nn3Q(={5IbCPF1E<W`+0)qdTQO;C|Hf=1 zHSIUG{i|Q~uYOY*7g8A)t9|M5I}455`RPyh=?lsI?Pyi%<`SKv8KTo2DCMQGs3kC~ z(<jO+Y~`w@t_$5}tvj}I%IV1H&_?N?tE;-B+AoJbi%X0;m%D7%rEJ5cQHOob+)T@y zsdKb9a<$Ic=0sED$Vi{AO=k^GOKx11mbErHC@5NI%~_LcsixhcY16W{Wf^U{a&%c* zvRihTwsF*KV`HN<pPVz-qRyN-aV_iSjH{-hvm`Uu92U!3bLLvw=CsJwp}xGvy3>v( z8l2XO?76x&EZXSW=AavAE?tYdI(3SPvaX{CH&;TC+f|KKT4!A~m+1P+9E#iPrL`fH zwKIHe%Bp2zPA!`~dXkRms=Az*qQtbuF*KAVB&nO#u}O<#(ZPsSI-(9qt3?DwLVFwo zMZ3DXRyD1bShPxsTO`m?v}2XhqL!4<ARSkckQ7(Ph>b2G6017aM~5sp$`a_}n9#8% zq-#x+L4*>=k%XpIT?;x^91RT8SS%PC8llm3R3so&Lg8q)#Hx-S38hsXN4!#*v{@Wo zdy+IIIt&8?94E4h=Y}+`Sf#N*tEpktM%ONm1IY?X9Ea-N>wnqa{PfN8&OGhE;i28R zA8oEpE8#T0;i<^lGD*OZ!^44ree3ejQac}!Zz4<D)2gcPXuSC^F{d-JJb>*=-7Mdf zDAh;jwtF+Oq%YsQK5L`H^PFQhuOHp9qukWweb(GOZI(ZMj&5_~3v5)GolZReeyEv! zo^_$qvmG~!oE5a*oH%~$F?Z{~Z+rK5&)F#Za<R7p=jPx0-rroJvG#9{vylJquly(f z>~-evKXzUGy)bXW>^9F>wHVF(cPkSoZuil<FmqGIvitelkAEq>oo9FNRo?pLyW$sK z53hewwEB)|+3uUGUsb5fOkb60-1>HcnasCOeRWLyN6Lbhn0~B!{#3LhIW<6gMp~%h zypBif(!RNw?_ny9+9#<W9sc9w=4Y#N>-iu5KXTmZa$;u2+VUsUjCWj&igl1*=C1hX zXD|Ccv4b;ST<}XO`t-!5;@3OnXn(;&%zPZo(GA~3xNG#?tnQw4fAV$OCEF|NvbA|@ zS&S}3XaA|wj83?Dn)7~ps9SgbmV&+N+j!c}wyzgu*}ZZ%|H*LOcV|=9$I2Xz5!k){ zm+i*z!@RY-cdvRb9d<W;w){n#_+3p!8z%~jTlh_R_H)(cWM$_w!go7nJpK4nIYp$4 zVPcxz)ZfpJIPKpj^CA0`t<6<0UweL`P<;i{mnCgiPZ{h<FSa|p@z~F6c8=%HEx6aT zAY5y<?V^N3i(Gh5dCr<Qq2z|=#H`-70Du3<D|Wg+{?BGM`G@$_1#h?cR;{1nx^nu7 z<;yA@#jlozN=k4~>Mp;a(rNX{W%+X}!E2h_m)yi|cJBDHjFHLRU~A(u4W&yu+UBfF zY~&ZJ=DW1{&pDO)ym-zbO<rC7D>gIi;-}7Bd?NQtRld6S=@TqPMSJakJw86egXQBw z#YUUwtKL@ItEXP)$n%O>y4HPv-kHdIv8Bs7w{N|by*OA$l_`!*dGF`1YAd!K_%&0V znQQTHp(2hqRoCAA)OuG`tN*vZq(o4p)4FHz^o#QQ%WRCo-yiW=KlMx6#-*21b<f+y zF)r;qP<iz8rGuM!^6sZLKI5)uil5{9WLxdlYjaHnK3rCG`xmn0&!y{Z-_NfWKO!9y zT(~4JV4`S!{iS2OBn!@5+kYs-^zXj!M*I_&tl;tH{-rBssDDP;^IrDvh`sV(k{_^L zIP+u4CBY;0yww76s}uef$J~={ZVZ((s)_p*)OIDaV}?;Q&rYx4volg%bJg1drdj)5 zmR}t<cggCVv%Tu(J;^DR+_=vqMEBKu@4{;REoY{&PBeU;{L{pbQ(kEC#b>73I#ugd z27T1Hu<~Vljq2~eF(<{GODraY3OB@My!v#@$Mr=}*Xm8H&KEiNGVNa}m!+ST?_@Rm zenQLPeLY8nZ{FK_)b;t4d$R>+wC}SM$;fJ5H?uoPH$a5zzFyj&rNVs@&zh`Hzb)S< z>-sQON``g9l{gkguTMt~&t4n(?6#=})Ao~MK^9NLl-Ak{mV92&eOy59K+|Hc*=K)5 z#~$<GoBwc0h20UR!@+moH1@o_<oO_aQrML>>ugix=2ki!^x>%$=RN!&Z}Lz7+g91j zG6W7uyWM%obCo~nVB%31i=A`N+}#&<R`9FWCPCG6N2{hZZTH?Ey7z4QuD8n{-amA7 zLR+xp(VU;Y0sh6G?)lETzvf0phj3t8;M(w0M~;PaN7tYFZDQs6!miHw?R(ALy{uP1 zo>`&2^X#`K)hfXooBP8q9XeGeap2*n7kn@F=I=he`%1vcQokw|S<n9^n<YMOwfDX7 zzQ1bC?kB%2UZ+_u`EkSW_=y8Q7v8D*x^DkHw*4Y5mV9>)$5^|0*b6@qlNY)^f2;ZQ zvl#*ROI9m=d{;SpS?q~d3g6HD@J^~%d*?NCTGg2uw+;o&DXyQl^ikgT_tOvD+Uj%9 zevz!D*>0ZCt8BL3UVf|fWxXj|(_ByG*x>)J6*Al8-%qeFPM+~O*1Sf!cJV3JH5vT8 z6Flc`%FLa1Ouzqp!aBQuZ;SV+r~G==B)hlpylUK<w#R~D=a1SgTBf|0DKtiStDb>@ zds9Hschx0-W}8c|xIN9>aWbdUKHe4c?@oA7d(u8wZh}|nrVFl1SI-aGvVLYKmwbwH zf$EokW_t2m3Y+Y0*v{!MDL)zAF>UUuQ-KpFd_K7*{DxrQ<vG6h?IvZ~q-5UQl{($v z@=xYxZRNK@)u)=XCtl9hy|^LVC~NApnz>KE>m};--tRf4DATn4?e$-)mT9b*tH@d2 zY+aWSknr^(bE9g%yWXUtQxyia+=_L3c$RY%=g&^P+ZcXFY3EfhF|G!mM7uzlFr9#e zYH!Ju>7HvhyEJHQQprtTb~0Qz_?5|IhjpdQ!e&i><sBzY4%EN8YJS!AkiC^GoRgX@ z=6~YKENi-}Kf%vyh0&zDEL)B_d@@y>v-7L>)=5YACM}bCq$iXl$1#nsVgkQTINL=5 z%YzRJx)!`V^og<GBiO6MSZEe|5Ub0)m7Yl<9s)rgL5wjnP7JxcY!@zE&YbM0tls-x z?bIom_hnrjN^&fzhw~Px`|df~^=5^ho9V7i1=B+&+<f@CIqK&Z=__VjO=>fyU%$ww z9T^c`a3|t&*Q|>dj%Bpk$-Szp-6`wVy+5kvSwSj)%T7jnuMLkPUKds@)3XU%rq0kX z@54W%57+OVcyp}3ciYa&X<H<=yid3-S$uD=YM^J`JL$4yms^s1EcZ_C{=;7KzGFw- zMzI_D1{JUPFMhP`t19}iBdGIL-`%xqSEj}-n%4b6|G<rXJ7wx?D$9I2KkWEt7A$mF zw5=f`j`Lo#+rnH^_FYGwxp-PJxm>8a6c(^pmHE4B<l*S==Q~a>{FRh>=%L6|*ZCq@ z5}tnkzZQ8$GHh+Sq^llf{o&&7Yp?5PA1+AotJN-^QT=-TeF<LOnXY^81&C!&dJ|}( zazJEG$oy?PRJ}Iu<6OjZF7%_1U-pb%{q@f}583p38t#hS6%}_|n1}Ds!S?gB3M|-* z{2HB$C;M?;m)Wg&Z(_}spT_QeCK3M}c5?``c<2_~5^`?Zxcry3?-UgUMh;eyh2Q&i zs^ng!u&6B%&~?!8k~-IUb%)iCI=Q*Ae@@MPe9SD|kLmN{Lk-E>|4!JwZdIr7SwGR= zG1Hm4R@ht(P2GL?eV$tBeu>Mk<os^uyM4THd_wH;!dd@RZpCQkW@Za2ul%#YM!SK5 z!H54rObqjf-SVw3OYi&dy8A2m*~_m6jlC=(5i2G-x^^^+af`AFhKe{IKO6h%U;4WW z%X_QYY-Y*cJ9Q}9HNgJn%3i6Q7jJ^ayD#7S_`3FS)0+CShSe#|yWgq#`Zq2~@C!dx zT)Bqz`}!-glU3*bQ_5(bcV*49l)#zWeg&0>dzdqpi5{Nve2>iMPr}!ZO8GL+VQqif zcl^@H4%1xL7~VS{ZJuoWn3MVI>dTFFKkmlgHv6|*h%Khrul!?Vt91XC%gW)|vttg+ z|4iL-?sJ6T#zv=2$DPaX#hQMvHs=3$aq5MR*1m&o+>akjK7C8<$f27{E*M)h_dYoI zc>&`lxAk0Cd|Q3Hv=e9jT%#D!a`VBKmeUKO_rGzwvTY~R$xFXd1sKd1%z3wsW%ir7 zvb*#zv}j3`ziIf?vGQ8U>;!L>v<)3WCiilrTrd5xoOV<`aE;P-=j`x#V*E4qUP@Kq z`?^$aXDVN-M9;Nup9?EE*(xe^<lI}k4$hw6++HngBe(hCtwewM_pf5Ruar!Wx0`?R zderlYepB`GJX<e+)bi1LTpM6)c3b(xNBzk{X&*I?9C*3C>R<HA{ZkDKH8k7gW_Rx2 zYo>2@a)aOe*MYsWDqbJ_Wy^Ltb?Me~yZvYGVqaK#j;-uOhT`%y+Z(Ggj2_<$$PP;K zy!?DhqUY@Wi!wfk?>qWJLUPfh&vSlH%P?Mg{i1Pk*1v7dT#5eC_pb;j=rLKf+?m<S z(ZJ|1ol*YU%O@YIpNB5LRj_65tW*2;u}Z!9vG?z<&0BY5zSq8f=6dzPJH_+nuYF+| z_x@s@)&2HA(REhrD(zc8Xjm?jX`lS~#;lICg=aRu`|+Ra-bTwhHfxEx{f4>O{LOV6 zc1mP@z1MTHN@DK2wQSj|&T#(uImP$g`USf_B>ML}EGgf$Ju|-TcX({l`{c6qm9Ogg z{zqiKHk7=1`~J2)>3LP}xjxj$#0MQylYXCg`o>Om*_RrxCMEe6`O3=mS67@mS(LSG zvD&iF^DZ5$oWoXZ61mw~`D4K8-=anv&R$*Q^JI=}l%A8+{-;Nu$4z=N`)%}EzKw?J zoBUmWepTG^@An!Xo%<zLVX7x`%C6MrFO61va<V=9aop+Z%QsFusrqk|ywTG3owTf2 zt`FzkXMxRcUmTcwdFI-+>#kQ`jJt5OwD<X*iyL<p&orODdF`C()v?iR?5nR_x%zeb z^I6`ze4{0;*T&Y*e)a9<tRr@(`%hPAOEoe$Z)&}FtEGg4O>0Y;d5PQK{{Fg3#lt&y ztCZvfNt#Tt+&=B3;f86|J4Adsj5R-R;`Y#6u;9$wk00a9N-kIS$8`JZFF3MAdL7f1 zmYs7>E|{Uz7q&q4(!H;{w(c};&nh~*^w@{l6T|&klj0&x&-8iEKiY8Pkp0o+uN_qz zR2rG2ggUBjh;y>HZ|4$uy{g>w+3Stm%WVVyD#=(*Jo#Iv_z|;Zew)wNtJiw(r?^+m zyS%-y;QIOGdFJAxP1%!giJh7>NwxOd`F{DIlk4lJf4b#2=kd%RdAWwYAG7#v)OdPS z{!NHpax^APD|PLn6Ar~kFIYTUU=ye!qvT-Yy?Tk@rQ5uQ*I2z)&zrLSZOEBOt%<2x z2|CmCw3RoeZ&I__ku}3xHE^|Vux5bW<N&9JTSktL*&Q$OH7`(Ld$EF#(MQ%XLN?%s z`QZhxIT*K?NIN@jF_8_7ab<G6UA%GmiH*IdZj}FAEqCrvZu|brH;(llz8!Jw!j^8P z{Ga=eZ?rYN!e0D6B<4i*eenhFckO<1YQn8tZRs~Ryyq>vX<%~U?Vr_ac_&*R(ewN> zOYHc)_{O7V&PvkkTlPD?lbko<&YLXBGmQ@vWHu!@#Z?^>I5wyJ<{}A+%-XKTS#8aB z)gSCwg*_)r$v<l>*7N)wr~cvF&it9dj_TIuo^B96lkveqyxDTnC&o_8b-WCfTaGmD z`z5<h?tSu)n=Q;eDQa=vHzV52(hRK2vJ|A{X7!2*8}ctXbB!%2EB>1->$@E-fgZXi zoq9x?*4Q3aRXn~yBc)4YiA*S0Cm)~o?dVJKi6ULDJUJ7Vaf{zBSS99|vQyQFi`!1g z(`kXu;VjOSZjl*5P7`?dZ(b4EmE;u?q>&>bG9gk;jD6qtTXS+BCEN()@?;H6&@p|Z z9@w-j>^Ec5A#SCWh6{q(r`l-$%s-&NNvGRrsiK}&%3OYD#}t(ljXp}<obPJhD?cmU z{!p=5R!F4#;DZa^Mv?-{xVSu)bQM|7(H2$`zr-zQ@%OAJw}PCtLb4}6@AMfuUBb5_ zE^l*T`puXUm?C1RSgV*GH%snchxklZ#WNdjZfKu=?Vs-wwX>5_e6G26342bNm>?Oz z)2VYHAT+{O-u;E){UZ)+37#TGMqUyc+#IW|^-e9UZLDN<(`4;9ddp;jn8w2L6F<dN z_EvR;F*O}k&`}dBnq#}SDM^880`umZzwYy|yj8LP^3I>O@4ZhK{4L-6&AzJB-E>FC zA*Gl@J2ozAt-q#kVkCFdXw|_0UfVf2CjPk=!Y5k4S}pkd(l6X-SH$hJ8VdZ^pFUuF z*ubN1G*Qr1;%KW$w@UD<s=nxppKI$Fj0J_bHi)@wsynBrsIntTtK(>>V3(n*n=*@| zXvFls!V9JMZyvjG@O(h|$?N-@p4P-(l@wMsto*gJO_t|w>ASCoo~ij?ezH9xzx6~+ zo5=aM+Eb1@?thofm1bbq{yOAR>Io^&N3n0;cy_k6ue|@$GQaWa8!fgF>%K?*VTWy1 zURs_rIx=0w((iV5X7A**|3xt;w;c{j`0@9@c;6=lK`E!a_zf{GUEwSphmOna@%a4a zlk=VP+}S(M_Nis;u5Zqq5$e2ild<q6?(U;<KbHPczG`@3pTUbCrJTyUY9})66<Ivn ziY;}Lsr$Jrg3l#SF4?x3&HSs<)_;kQ`|7?sXMa5UBt&&4!<?gMZ`AGnc&yBbwP?pR z*NA6TX^NUDz4xkE{oZhSEd1;w{=@8ciO-9O0}qrpMQJ{f*WEXLddT6G|MwbS|F&Rv zNWX&PGIbZl1^3b)r6<-p@%H^YbNZ%^qRm+^=XJgO&yu5NUb*l-{oj?ip7?W5iaeOw z=SjA_?bvUTZzj^uwM&deX-PwrQd!b8S>ZJWk5c0A%&_JEsogV`KjJ`d#j@{HW=kwn zTVZ?bX~-2_u6Xai8BZ?<{uBJjQ7!+h;M)_g-loG59r{Tbw*;$GTWh)=95D)aHIaC~ z;dWfa-_?c>V_AD0TDty=eY-qypQq)i9otXkr|e<7?DhZQ$xFAUZLVvKh+UfL$a^p2 z%kr5`1vASt9)I6l&;9+VS?Sv5h3B3eZJJs6V7IMV>$TtSE*chcf0O3=ydpmPrGivT zznSusuSSa+?3d*@L=}DUw*53Y?_T1nQ*ztC2RvVUVDW`ZJD5thw+0{7s$MA`vnH-w zSUlj$yQCg>(Y2TF7`wz4tFAS)XfEPdcjDg?E^U2@jMuxXmz`W3{Z&xryZVa?^;thp z{P^`^YVgtjUq6>T?O4=XUMj!y{q4yP21~qe{l2n3sMPAgP0z{49j8n=^7?(Od1$Cf z$VD@*IiK5#eQ(b6W4b$Yy3~L9bp?Od&T(B=zhhD9`8RF8vo`VVV_~+4**+=l#Fh(6 zS^p~Q@;5Qm?!9}d_<Bna-{HQ%IK$4;WnI|{k}5Z~{Ir`A8n>E05%;=Yd-CDl?g{?l zeva&?`<QzK56qse6nbGv%9|gb-Yh@b>T7Z|Cg{@LS#KVDO?nq(5Hi;>_U@BMO^HW? z?k-x*Yp`B;+FAV@zCT|6Y2MbBKjDd((;Ux`n|*r?@5b_WFSO+~PkeN2>956xJC=%^ zNe*55#-d<dxU}Jou2SyieP!9jsRiF#0vMNb=L-EeKZBcV=I_*{U6<}0eIxR}>+Frw d%535e%ugO&<7L}&Q2tNsNs)(6POWSw0s!8<G)w>h literal 4116 zcmZ>Y%CIzaj8qGbWZpAj4ugPu{eME>0iRuU5##6Mi)(7l@7(*r$iVje?97h~j_!T$ z!0`3*+&AtaUu~E5ny6HJc2)Rxa5l{|S-vIXg6CG78Ci+`mr~74GA_)TZNg|av8y`d zhUQygpIHX8W?xoZW#;cRZ>E3d;$UI*Wz8XfndUJBA7ESgVDiPTs-{&oy{2-@mt;;f zF%G!QIr+l8e$N*7Wj?+>CzRDLE;6)Lc3;_Y;=;)mhKtMGdJT;v4IHExs(PhTE-rSE z%8<%1;ZexQIB~+&=a5l~38R$B6{%U7QgXqUavfh9Rr%TqyRUrFADn6HHj9Db0<+@+ z24)9_3v9C(q!@S^CuA@%FfeXqU|arT)f6cs21z3+6RFGvY-(!FoE^-{ZVGI(n0?xs zIgX?pG%;azYinzEb1+HC;ANbw?2vNVhr!n*<+8$oDSv}jg<NL94_LZf1ef(p>|Ag` zSlD;T!IdwUEno3zwu+%i#>tKYZVpC_%i7vzvAMa;VlXl><YioNf#CvMvjgJ-6UGS) zCgrcSEq@!|*ETllIdQtUymZ#IYwxxi7u<;6w(Ol+$M*6R-?LYav~iS3+_(JtwdQ?f z{>Q3&|9Rj2%&z!oZ~Hy-XBB_j|6{p3_w}3i|KIg*_q}w-!)9$i!}fRxmA|UGF|YP` zC;$4bpQjfG_TR1CwlPPlUbQPwky&^`+JkGZ4fa8-7go$#@Xb^9x$BMnC${{`&5l~n z&e*f}*Zw?vHh-qvz!|ew&YIaB=<l{T$I5C|Pw<i1RgCj>M6OzyM<&|a`^79={Cv;e z+pp&b8SM_bEEjQIA!AF>PR~|bqh*g&GwLR8-_l<_zwpAopJGS%$rcIPWq+=_ymhsj z`==vLYWzKMr3?`gu@{S0Oxu5S{=FYf+oW==eugdn>G;@J=Kx3C*O_L9;pNi~>+h`X z5S4elcv47uo-%7}*(z1_jI+xgzEpoNq;XM5ysPwXTkOt5b5DKNy0^z_Zn{@o_?u3B zLA7(~P7ida^!XmiG7i*vlzV^S36q%iEr+MMY*63d(d4!};f85_x7wWI<)zh=TX&mt zUYmRD-kt=t53_}gSe74rxg|f$db<1@rp<<}@4Sz6rOtWxc$T5mYxPa{tgf%H>M~k> zu)*-<rEArPX6-cT_1$o#LMg0d-DOF4@v;I9ADL<V>(@S%TIe0~z(C!fQ}(d3e%`a| zUZQsv$CmQh{5>pncgghF`7tj=vz;z%O%71sop|^2q}Z61CsXnSLhG+DU3D;d=TGiu zQ`o-8$E0OHZk(rO{&sg`qu0&_GTCdt+Nw-EUyyd8a(ApqgMDt4-nyFwx{G}r58Z1~ z-?Mm2vxLc`)>DFS=bJ7P>QHG=ik{mRzc^H9H>=uo$KN$8IXu(Wbul?8Y%@+cm&ZQu z-EU1!4o}-H3<Aw&7d1OP8RDcCCN-G)@f_v9%$)XGa&y$(Y~4)ri0x5HcU!l;T)BJA z9Up1k%jF5(rHgJSZ7z3vn>sW7-TvM$pSAT}Q^Wtq-Y>YlDB9F(NfR?;=f#c8i*qDi zT+Up^ow@7k=IEW-ymx2k<ZPALUMiM#m-n{lwzt{2Yd4%RPdk=#Chw$5ih0qAtuv>s zP2fGal&w)A?)}8zHGf_$?q4%+X?wy8<0J1cKhV-lWh-6wAWFR5gNrk0afB)B)wJD5 z`rYp=KXFz4dF%fML)8NwjFyj!7p+;(9w;QIe=MQ)-2Ur%tY_X{Qw_ZBA<A~~I>!r> z`yyK|eY&ABEyU?YuV}T)-1cc4T5d1izENv1jTYT<$jxl;CgpV^raiMlAG*$5ec8-< z*{3Dnw%9HE@@>w&Wk0UpvtP9<?aIcLk0!ji^g*m<+FPziGJ^6vuU8&7%Ii~b$+^kQ zr+HnWEAH%s;}h20YTI30T;Qb3{l?&xOZM-L+CI<RJ{%R<-lXYv@qub2N5b?jCmZgg z=O(0mx~jiQihtIL4nC93)p5BtAFnwC1~o|*Gl}fVS@S&j<aB4R=*5%Oo-!?3*0h*Y zX<6AvrH6VSJA^!0t(?s7hJBB$yZI!W;nkV<GL=u4Ev>G;GEtrBr>uA@`&#LBmsR#| zt-jb4#lTW`);nh#Z<vVj$6JffZ&&g5U&ns5_?4-kL4(H+jujJ&c^9cCO1dyy&|=~I zXBZK%M&+R-gSXMKdlt{Q3^z)I@=3DHyn2{#MS)AJz%ivXH-~Pn2$th2oSqt|PEXpU zBlUN8XjVAK<ItmzGfFMw^?j#YK6*0j?Di~^nt5rv-dF8^^}1t+T{~~T8|yNIW@%{` zwzQ+WCEFfl-Ok<Sl6P~Bi4WVc8yr$BhWqYr>RHm@E+i;nackmYo>yEUBED9wB3^># zB8-+IxfgQXPMEU`TsZbpWl4)mW;4f0hUCB#$7Pi`ZZTSPIJ9UO<hlwc3O6^HvNd%~ zY!;Le$=$IelaD!5sCV0mn=*?tJGb3b%2-^;;=t=Eu_(`-ts!^W<;7A0EJ3c)8bQnx z`rHf@?qqmKx~W{`a=Rid)DXCEp-8WqN>k?)&#sn|%q<UIaQ1i^E>&h>2;wr#XKp+Y zz3X(t+Ubld4ciQ^?pQLFO@q<HM_JKl!V))UCL^vHJeo>8NiA(04jK}NSf(TjdL(gj ztVv@`?C9`0qLJ9rY9J&hU$RW3V^Yr~2_3eSnUbn%YF<oS9zGlqE=L%QR17*6%+zd? zIN)iN(lA-*TCU=xK#5~Y$5aiRrkn|6YU1c>>S{P-u;hZtB{qX(r+uR5nK@_6^7i(w z%NG^PXOCC5Y+7=zEbxKWG9|sZWSP((H+dxfBr4tv-e$ADt7o@$#`%)?KGCB~T=w*_ zPs?le*v#=$&YIca#>}6$YL~|LYIk)%dvWv&pOVGXNI(5GRvQ)^WHWrGa9)ae=LZ(e zpam6+(|8jnH8!ljl=NhKxv$ZuatqeJ`1m`soZVAw_G*526HA|SGR5<1QfhMLPL1Bj zi@mpO?@HlXGgmZb-KI*LCC9dFh@1@wTRwB==B*p2xgFgqc>K4fBMbM2kE=RAe<=-K zXTI{f<>cH+?~4?DJuj&+txR&zYvdG26Z)OJ`%6TrQlQ7KEukt4i^85S*u?9*o!M*4 zsTURptuOAep1%5S%65ZYYv#IoE;jsN7~0>iJoh%c+CD>N_Q192H`+eUR0_N8Vd1n) zs7=r%-}C!1#jINrtWl?;r4$Ps%OavSW~Faz`u68roW=9nJ9pI2Jdn}9^V>3P`n$_B z3r|h2e5h)EYs>16nO%=PYHY4nr^j9^c)FwVz`|38#Vc7H9iAReyqL{BV<kHqv*-?8 z;l(}=ZeLu!?$5!nT|O5W#MFzg?33i|niqGL_oACr|I>T7s(1yi#D0=LYBGt*>6@9? zp$7Yxp_{XFuDoac_HxU&Xx$V2I@@GshX2!Kb=fd$&!oCvkKPqu`8@sME*`J%=4|Jd z+{imF^Xk#u$Dgk!Zd=ze`&ezDr_WdKW$TjjLrZyb_Fh}q!*?-aVX2d9@0L=J(j5P< zNi(fxeU@PnmeFE*_BNxu?%y8637w}VWX^kQHf#2SIw?-a!z_NGm49<tZU{a+!CIMr zFw@(k&1#}w%=FcL3SQCc53x=^QM>Ha%THef)&!;=@%<$#w>~D$WVzOdhtvIv+2<#l zPi$<yJ}-Q2SXyEhlkd9yL0qX_6V_}<u1v{xDqAtVUT$-u_q(2(9jQBW!p+uC%UERn zIeW9(g3XftTjzu}2`-O)Y`(@g;myr`ub0>{t^D3ORrYPZz&!N^hE2!sWE?)e`m>vc zdT()!eJ%IF{082`A1>KDq!nt*JnvOF(S46q+A}9h?)c0#*9wkg-g)>yKk@0kX*o%I zyDYo?pM8AiId93|;@S19JanoSK24gK`|V=a%T*UARGK;-oHuvI63rTx)p^_zVvQ@A zH}TDJ6r0`~DYvpKv~OQPhS>Fe0zMN9UtZrDw!>fQ?7>e*?Y^`LF8p#qO}gC0R$BbY z3y&lAvp3n@&Sg#Y+Ou(89miS2`@4KSML8bM5BkQ#xM-QniT~y%X-)z;FJrqnW_E1s z(}*&ex}b1^h7Etj-lZN)6Wmk}O;zA>ym5d24auN46GffRFS6QRuc9XXWzqHJ%Vl=> zr|#sis@UeF^Z$ESs@DCfhfh?rsarmC40*9m=67%UiM78YVi!zXzKlO0_iyez*Gu<* z+kUodH_xqp701B9rl8LB=>r3Yg+%<pZ=X&*=yEdf=28}#k)n3P%y8R{8wXEpI{Ix= z&79UatGnsq%#%;0Zu%*uo3f%SQ_^;mO|y78|J=M6;zunq+}u7lmin1(dp{}X3B%>3 zT*Wh`D`rkO62WpbV(zwiUB*2rZT{0ad0D+RmpiEPELqm1!SN$wIzNZ@Y-3RaPQADJ z+fPo+wz=ul%%tI9cdWZOoK4(}V|j+UzXFS|lCS9{1+KP9+fPr|%I9`BTGYtu?KC?y zR$xhw+J+Eiq1m~+jx=b_5-d4->2xn!x90u~tK4~CXYQ^3m6N}9%88V{TtBvZR_lDL z&pudo&#c|hYL)D{<I!hI?~Co;em+@SUxVwIO8mVSXBX?Q)tIqihZ2+PKLO9kup3Ti zrYdMlBt=Dd*Dx$eQ*AWtYHHf2;L4J6W1`c+#2aEdPP&B$9McY+Z4g-#{M4^gY|0VV z>`XIOSsBfU=m^#&rzEC{w#>X1yjbLzsBmId`p=4UPdA3|buTSA8<)r%{=4XMl9{yc zI`7PFPm8POCttgDqxgGw=cJ6)8Qg1sF-^G8b^5uxK(p2*X0aoALPez?7tFd4uqA$$ z$T5|swM(WJd+^AnFf$yPs_Zf82+KF6w_?+^qZK)|zA3Vt{JN3p;1<DCOFG12TXIBs zUT_BYvaXu8$R$HJpdljs(4Wg12_2@vu39SHDWORWos7AOUYAz%2(ZSjpLhMm3dy1q zwyK9!d$-Ssot@8Jcj`<y>+jXfhiliBhlp+U{;hqo^8c;8v~|i=+&X5>raF1?vGcbq z{=MN^?f=>zfmIG{^Nu)(Ic%TJ?QN6ODCMZCk=dxms3y$e<1=Z3$q81yeGJLB4sX#6 zXfg?(<5Jk^Q+|wbZKfXM5}}V1m}OmArv13YBf5$~d$XY70=v$SN8GM_Uo!WP&aGV5 z)|}8>H<h+2GEoOiRMR^iDTzooB{I2{N^pfa)v?#ktcYn^Z5mt7cX7ALtRI)%+EOFu zF)>Vf*>z;$W|!#~uHDLNWshkKVu%Q0n#UO<Rg{qOAYLiUMj}+^;yk0ak|XQqT@#PU z)|SwhU{cXI7h#j%x_QHn8LD=(^p9E{HNCz5F4L>sTXXB2SlACty<s3{SK`o6E-;z7 zdiTjA%r+bvD-r@l7|S#aKkS_(I72TwIYm15%<5YlSJqD4p(u4T>B-I0CsZ9}3M^|5 z9FO>HZPzq&YE8x5^7mb-Yi6$8V!Qd{8E*mSC`UIQkJDOBje#7}o^e6u(fx&$p`q80 ytU9zY=4zPs>r4q_j@FCM)K;=F@diw*aF5bv-l}2u@&BWD9?Q9e7|JIJHvj<IlwZIA -- GitLab From a6a2a603b10c06d71513bc5fd19bdbd7e34c2fdc Mon Sep 17 00:00:00 2001 From: Eduardo Junior <edujrrib@gmail.com> Date: Sat, 22 Oct 2016 18:20:04 -0200 Subject: [PATCH 22/30] =?UTF-8?q?Corrige=20start=20da=20s=C3=A9rie=20sobre?= =?UTF-8?q?=20o=20=C3=ADndice=20da=20bolsa=20de=20valores=20de=20SP?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- R/IBVSP.R | 14 +++++++------- data/IBVSP.rda | Bin 957 -> 959 bytes 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/R/IBVSP.R b/R/IBVSP.R index ee469d57..20913cc3 100644 --- a/R/IBVSP.R +++ b/R/IBVSP.R @@ -1,14 +1,14 @@ #' @name IBVSP -#' @title IBV de São Paulo -#' @description Dados sobre o Índice mensal da Bolsa de Valores (IBVSP) -#' de São Paulo, de Junho de 1994 a Agosto de 2001. -#' +#' @title Índice da Bolsa de Valores de São Paulo (1994-2001) +#' @description Dados mensais sobre o Índice da Bolsa de Valores de São +#' Paulo (IBVSP) de Junho de 1994 a Agosto de 2001. +#' #' @format Uma série temporal (classe \code{ts}), com 87 observações -#' mensais, de junho de 1994 a agosto de 2001. +#' mensais de Junho de 1994 a Agosto de 2001. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries #' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A9 - Mercado Financeiro, mencionada em diversas +#' Blucher. (Série A9 - Mercado Financeiro, mencionada em diversas #' páginas) #' @examples #' @@ -18,7 +18,7 @@ #' #' # Médias anuais #' aggregate(IBVSP, FUN = mean) -#' +#' #' # Médias mensais #' tapply(IBVSP, cycle(IBVSP), mean) #' diff --git a/data/IBVSP.rda b/data/IBVSP.rda index 59d9ac3d7b48be1157237750eac1e2a372d645ab..fa974c711a896d11055920965db664bbba21a468 100644 GIT binary patch delta 945 zcmdnXzMoyvDJsL#&@oaiICApEAO9H`w*UYC|NooK_3tN2%GJ+KJ(sNcigDor1_ova z1_lNO#szE*3=C2rCIbUo4}_g@!PbSXftNuFBw@nK08+xhAjN!zfx!sOVQXM^_GMha zkYQrQz>sm-A>#rsgNX@)iOB^M29pf1VHpf25IZg~TwrTpVCz_7(!QX+?Gm%IFB>DX zT3g$!3=@-+lNqiU@dq4~V(egC*3)pA<;Z2V87xPRWbjI{`ARXq5MX?9^vT5b1XZt@ zXM0<j)3<pui7yd;*q=C2Sn;9H1jY%e3@6*8I{%zpU?joWeSf7Y%jVLypapzKtF|-+ zRX2;}&kx^s_VQ@~iPmWa{vp4d>n)w7FG%;uS~Y}nPtu!iVQ@Jx^4R<hhuaqMe-l|A zDx#_E?%=O!cI=Ny!JUI2r`%MVQt@UbJJX5cH9f*YDR(O4_IVx7nK5nB2H}Ml)iy1< z(9t5uX38>gM?6!<j@c55?v5vtnna%Oe)jI+ITP9KbHDZ8IPo*_4I5LZ@I-<9<px6a z`gf<)C{<i34bR`Xv|YI>-p5Y*!UGi{!N-maCtpr-URGRf)6{YBKr_ocpVVfq%3eJ~ zuM~!*o92A{^6Gnu=7rzhT|b?5vwOn&XV&~kit_NcG1&Y+%X*GeOXs2MlW*yAIJlH5 zNX8vGprdzWafnc(q6*(`mxVtI3<X`}R_vB&uXld^$KcE@)rH)zPrdXLwXk|#9en2c z6|Z--9vim4xMa)wOz}zkM5fc0u|JrOE4Vs1Im@I5g)d)OThZyfN|t%wi#k<hgY_Nq z??l8~7uGQ}ZA&~Ld}=ax=rj}C4+|?-vA^CaW_iBp!6uJeZ9m(^s(LeCWTj+!-aeDQ z`OC)o-7!<^d7Ky&a=c$9IUM`+=K!1N!Xx2_4m~+1^MgUVu6T*zVSO%h{#}!mVz{d2 z@V~5JDxTk;Rvz=x<X+~)<<axK9&d@cGD-1^X`0D0aT)KwS{|uAl|B3ir$pYjTfjGI z3vcI?sx^x|6DR#Xd;g|GSaw|alFi;xL3(Ex|Jh$$X`uX})1jW3MY<sD;7wK=nFI%J zp|=HdxFbJoOlNg5=@4>W{66nY`z5EJQxgSKoU;F|k(wnjKRopRg<~n{kDu7HiB;ct zF2*qN@Jg0FGEN)z%Ke>sS!H%H?>^qo^Ij+Ob0=(&ciW_Ve4=X;|CRK}11br>7Vp}8 kVbybmVxJX{=ectDSRdC3<ZpABRrp`L$kifX0w{L^0EbhQwEzGB delta 943 zcmdnbzL#CnDJsL#&@oaiIMPI^ZaD+P_W%F?|9`W&{`^Eqx%w$FWe$uBmo;2qfC65I z3^0pv0RzLy7rng9&I*?u7#P?(czGFEZe=i-m@qI%G0eEYXu#~i?2y49$ipCff<cOb zm)SvzftS~Wt*ya?#fsqqTLZJN6fc8`5rc^lNF~_N47LUahKvl52@Grv%nq0913l&~ z_IGe!Vv>?#$jcyQk|8A>khyH8q;!CZ+yWB@1_owd28OfFKF-R%%+3l7RlV#h7gY7K zPuX}&l<7;)Ob4mgw_2{n=6jWG=;in_#idriRfN&u52O1|)gnDt$1e?gmQC$4aNGIo zw-`flX5<=W;h9Qvm!ERn-Tk$ILv72a`Wsxlfhvux%ehoyl?<n()x1qO;2_5)QT|IN zg45+Mvu?x*Hb3bVKRkA4G*mjU3X7`QT$?OAL-Vw2zs1BwiyF4iyS_nq!|fL$SE86I zEG+k|xDw>?NYPzM*n%VYs6yW{0jH#;hK#&bx8B#4KT)aAzF$4J#3tfU6QA4f+Ebm5 z7wYG@PxzdxDYVAZw($GC%G#%Fvk!AueQ;%J-!SR_jkNPjtd$M7l|mCL4SYKOZ*{xq zII%G8_?mMU*vw}<5f9i~?jmQLTH|N2rrU{OdgGM)otfX}SENXU``%>}|DpFg&OBw8 zNB;Y{7Hs9qJy^GKOxe}+fa`OjPDyvG83#}75?#ysv=yGR#Y`G`%qn$N9becB{yD|v zPx@%{IVbJne~aaj>OIdZ*)D4ZY!Gt^UvR*zf+d4t#S)!aj;l_qarbzyQs>_BMI@;$ za^27W=S1vtXV@^Rtvzz!_sMCzp;K2W{m6K8v|!B=9gc&1?I(0IPQDhiP%52$^W)98 z>fw^lcDDY0yQ}`G#-<G?9(LUCzw01-`YVe>T)$+#u<(onFBJIKS)RK%@7TQ`+b_qS znq*)%e+5g(5tf$suU{_iJ+`uRhH0X-yY9(1J6od^eoRa85O}insCg8}BpViXSGE3Y zo(_J-0VhRfr)EW^a9OXp@b?B=>ej!vF1@(LoBYf{{_-y!58>P^EcHJ>Nj$!9&U{hv zx%1TO1dG|?Q>5PXWiAQXyj=d&I_dRye7`XjZ4Zq4%=7L7tAp#~cITfm0iAzZ`jjUx zXVZN+XHkafq@D$rucx<t>rb%^*vDbh$^7piqjihOp?aB9Q<W!7<d9!;p`Bsj;@AAz m{)cqtGM!`gR`{ahRQOQosYQz=?{WQ)<to9goXk$@uL=O3{fT4% -- GitLab From f8bf18d08a30e9b27803d284d4fcea47f5578d8c Mon Sep 17 00:00:00 2001 From: Eduardo Junior <edujrrib@gmail.com> Date: Sat, 22 Oct 2016 21:21:39 -0200 Subject: [PATCH 23/30] =?UTF-8?q?Corrige=20dados=20das=20a=C3=A7=C3=B5es?= =?UTF-8?q?=20da=20Petrobras=20PN?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Corrige formato da série para 'zoo' para que as observações fiquem associadas com suas respectivas datas de coleta, uma vez que são coletados dados somente em dias utéis. - Complementa documentação e seção de exemplos --- R/Petro.R | 31 +++++++++++++++++-------------- data/Petro.rda | Bin 5556 -> 10601 bytes 2 files changed, 17 insertions(+), 14 deletions(-) diff --git a/R/Petro.R b/R/Petro.R index 1e1cc0a9..03c68841 100644 --- a/R/Petro.R +++ b/R/Petro.R @@ -1,27 +1,30 @@ #' @name Petro -#' @title Ações da Petrobrás -#' @description Dados sobre os valores diários das ações da Petrobrás -#' PN. Os dados são referentes ao período do dia três de -#' Janeiro de 1995 até 27 de Dezembro de 2000. -#' -#' @format Uma série temporal (classe \code{ts}), com 1498 observações -#' diárias, de 3 de janeiro de 1995 a 27 de dezembro de 2000. -#' @keywords TS +#' @title Ações Preferenciais da Petrobras +#' @description Dados sobre os valores diários das ações preferenciais +#' da Petrobras - Petrobras PN. Os dados são referentes ao período +#' do dia 03 de Janeiro de 1995 até 27 de Dezembro de 2000, +#' contabilizados somente nos dias utéis. +#' @format Uma série temporal irregularmente espaçada (classe +#' \code{zoo}), com 1498 observações dos dias utéis de 03 de janeiro +#' de 1995 a 27 de dezembro de 2000. +#' @keywords TS TSI #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A9 - Mercado Financeiro, mencionada em diversas -#' páginas) +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série +#' A9 - Mercado Financeiro, mencionada em diversas páginas) #' @examples #' #' data(Petro) #' str(Petro) +#' +#' library(zoo) #' Petro #' -#' # Médias anuais -#' aggregate(Petro, FUN = mean) +#' # Médias anuais e mensais +#' aggregate(Petro, by = format(time(Petro), "%Y"), FUN = mean) +#' aggregate(Petro, by = format(time(Petro), "%B"), FUN = mean) #' #' # Visualização da série #' library(lattice) #' xyplot(Petro, type = c("o", "g"), pch = 19, col = "violetred3") -#' +#' NULL diff --git a/data/Petro.rda b/data/Petro.rda index 1882ac83a51ac389cc12fbe4982ae1ddaf5ac708..9bc302ba9d8f411f55b572e49525936b6422a9cc 100644 GIT binary patch literal 10601 zcmZ>Y%CIzaj8qGb^fCP#&LEXk|DO<epd4@aj^%v=0|R4KO|`MFY0j~>H?s1K4;UEO z_f#xcckM!^w6Uoii_E%PQI~GBZ8hLMkiLL{@dbnU8pbefw@D2QP$0#?%Wy#|<>F!= zUxQwg%on}}{T@}mw#pY*Zt8uXtFq)&rKwF%)@;EkU%uM1^-3`|aCW}zT(H7q2^+5> zQ^JJ{jte_3a8Ay+z_`?Q0k3f8qIs7c7&7L0wk==T#-J?h>?_5lV6x1>-{C^=sk+7f z4k;-N8CQ-kN?~PNXp%51L)a;E<pPsSIUyenmZkc9H1$so`IK^Me&>o$zGiMy?)myo zwRP_ezVdCRlz+&dm5+rlWo6Z^{3U#8_NA)jE8hxVH9NU%<-FxnZY_VZ_{*vJlV+c) zRPQvk*Ic&zmA~eDm#mp9e`=%#|Nk5OH#F4Yg25~)lgnzeGM5P)U^Gg(?Bg?|S1OTB zaTx;xgRqaV56i`tlmrH!nUc&7N2C%ZI430Z8fBbpXk7Vgs(*;w0tUtf%nqPHGXW6{ zMhqEX8b(}TU~-wzz@f~!*oE`OmH8`9u6%Mc*w)maDRauFtlU?@UzF;!Z2cKmRZ99_ zWE09^oGjHVm2uT3)8NXy3t98BW<K?u75HTSvJRVG&27tOE?hG6<&s0G_L`4^ubuko zx$*Cde^39Iu)n<Ge{WM>U$H{bl%Vx9*Q~xFae18!i^V(_OEbQZRhGh&yE-4tn9=Ag zt)v(zeA4+unlQteLurz8+7b$8u$&M$%lu-2qeK3p?f1IhdjBiylFHxw^RDIjfPX9B zxE=QUeR$o`?<x7`=j7a9UmAM#TI?6|h^n3Qwk!L_3!C@vuHCxhKA)I>=#%RiR}SBJ zs{1MU;wt0c)^p4Jj@e)OoH_eO-ri2p^_#zMsTXA}Tl#<3Yl~a0k$?4=eeTS*;;34D zDdtjChS{$>zHS$*v#i;xGr#N92W~T6w=~vcY18#&$I7k8bNQx=?Td{)>JlBkSu=b3 zn%rQf>!RXE7Ah4+-oGoN;-zimB(Jz=#hpp!tsNf6w3)U!FLDt|nV1uPpfkyJp+%jm z!o(~;P6@++izWF27cVI;T(n}Bv-cM}XO9=t+GcRnv`w6-F|om)Q;@UB<&d*SM<lQ6 zA|@$krxVVq>=N@k6_#=?SbRjqDA-eo%TsaEERQ)}lSEZL#YD<PrsPIlG+mtiadG=K zu8#|6hwM|DS9qXUc{le5`{Jr|E#dLZ!2!izrmOEhc9ylYKu0WZ*{4-6`;Pru`6P68 z+U`5+PwalZ^1&}l%f`R_A!5IOKfm+y+i3*{0fsXFM*<U?9W`!AEz|ofdd#muaN94N zE3>C8xwBO5sb;`Jr-p@2ZBDJs3MT><I<;~oa*1ew86ui38UYJ^6rE-`ZR|Se)XF8v z(+ZMX0G4KSYE2exYUL6+1XB(chG<``05a*ACRiI2SeJ-K3dp==0w5VwEl^&f0n|iR zur10WDIf_SMJKTSg-)$t>r*rWAnp`NF#@XtTgwP_B8qDy7CN<Z9OV-1k_0J)+uHzU zr9cH|z>PO(<pO(Iv?mOt{`B^@rtdwcMYct@`E8d>3)}dza9Rvon1{fGb;}zamQR^v z>R@{C|Gea@EA6I--7!1X(Z<<0SxvH?;pEH~3ke?!foBX7G6J(RI@$#8m<w1mNjbD| zZ~JO4=XZb6xvzUw_3IwBywhGUU;OL)%1JA~D(p<XEX~5s8-8i&j9pt7A5~g3`^}^` zHxFBKSg^F8Y!@tye*P_*H(u=AmP1PY`~T{F{m}PQuv@wJ*X|!LzvxyRc@lqX-{(Ds z42OaZ{%lv6lyg>|P1fH}*IxQfS-`#TDs5jYVvHu5_7quGZ~f3Hx$H#Z5g*C_eES1> zfAJ`!D?2vN&bZv;FWz_QsYGtSeaGgGT&tTp3#VMR)>zjhQn*fkR+&$kRvG(a?tq^! zmMv#0?t8HPQt8v?4T&PJ4?Nsw!@&P(2V>B@<@a>oOWAO3p7U+i+UQw(jD#%Z6!uU2 zyFT}!aj@`z&1bP&b=&*bTHRRb7-VC6HKldeH$_G9Y-a7w1CuOl@BKeK_nd6h{HEp6 zPwMyf+`B(%S9Q(T2h$TS-ONhdx}W<F!|iK(m&vVNzc5Eh<M`ICyQ{_X4ezth7hV1= zZPESP>2F@HoT7EQ^T@H*>(6^v8(jTTx7~s9GoO5v`zoQWk7~=^A`5>9tzK!?V0O2v zzcOZhdy`G9z%l=pxr?U$PM@fJ-D731f<gas#<(?1oO^t#gpO3-JesKgI9cx=PmKTS z>HD_-sJwMc@$JPm|8KD|&i?y!nfw%I0})0}2hOF9Ps;z){1CcVUA<@f>}_5j`=@{O zU3w=`_FSJfQ(<zUY_-%;-eu*yd|xZ~>P56LgeNFp_cm`l`fYc=efOV&AI~gK{nN7! z{PJDII^(lv$dX#CttantubRZbdbKsiLG|3cLwB}6$+vL&|Eb#|uXgL^_$?<n&&l%b zo`1gj>AMT-^-ewiRPtlV=UPF>D)p+!#jAgP{mu2O@=E@s&laioKlCqOsPs9fGEy&W zf#H<RW^1;uxwvC(z?G89b&Q*B`;wMlyQ_QEMMx&0W`9*hli#<{_J)g+_2)Pr`dt^u zuD{q<mLUFR_oo+J((9+hL<xFctnhqZZFlhE((C`VZreRcydANM^<jN)aIAv)Db3zH z6Flx^@oU8Jvi$2gVwAwLq0e~lmdO%wvq}p?J1^urDvO-E^XKlY?_cX2JWiL^ocNY3 z`TV@e#dq(Xx^wEgzKdQd8|vWk=hg+yi~G)h{h^(__+W%0!}2%Z&-@HcQFxiR;a7j# z|BX)$oqxNzIg2~)*XuXmH{a;F@S{U#Zq3u@siC#M8m3n9H>+4|{uZ+D>#99_dR{2k zJ=tn(JL9D*@7W!H1U}s@bM6wjDZx4A-mdCJRp!?ZR47buYgAdJG^sGmia%&gL5Js7 zH_IjQXEn7tzwFqzWydF0A=#&TEpPVBjbxpw*QF=_{7jGVj^&#k-Ihps#Xs40^Nzi> z21=dpSUGpZt+>uGNi?j}q{J^;+w7U^q#Cp17bhnjPEHL!maKT*q2%Mly0GmBf1IB5 zww~Xh>hh(f$}0Z0?5v#+Gi%vIKe_#Wo%7|&gb5|#pE6fQaWMThSskA>y_cgpdge>3 ze|J|Wa!!`4os}}RkALPZ1^0FP9&r4WEm_>}Tpu*eC~T|Sg9T!?|8}eAs!d2*`fTn@ zhm{^jZ98{4=p16`a}&2=IF`q>NJOC1%YvosLYvTh>4d5+C-3xLI4OBE+%$T+W#O4y z0#jcso#`xE^}^t>8=Fv2-HpKX_S~Ibh9>V+F4jGfU;g52qU<TT@QZeRXFT?pDMxR$ z`^CP6@1>(xFr%34n$z6N?uK5dc8E#kopSDFjr29yEAQr()L#AY^-FnF5(9hkEa%^! ziae|DTG|EVHa&6Jdt2_v_IXk#(x1<(X??gWO~=Sv^i`rqeb4vJ={uQtFB=JNJGRws zXYChm7oO=4CVgC6$Z^V7A;viJt@n4m4?1NfJQLZ|+(R}e-R}vy=6=mf`TOF6ONXBp zON7mR!{8P5{;EPw&)%0oz29doVELyRD1C48wvw9ty4i=1^~X%P6r~_M@wpRor`mj; zLo;?|s;m!?DbKf@_0*|8)FEd<ms5?7LYVwxS&n(;9Ova<9b6=0EB!p|k#PU3w^M?$ z4!(PH^f9N*PszEQGMb;I_zqTaX865NbksJRbG>jsU+2H2>x+dqp10mR+f9tkwdzLI z^Fu7o`g=dueZT$6byIHGqp!wCBMak}d|BRW;?(%$)s(wdZ9(gHUeQ{j+L@nr*q!C+ zrGnzQ7rf7H{WpF2FOFL!^TmZPxIBtfDGOYk+#Hd{eR<Q|kmt`Yg)P6Kq<HuC+Y7xy z)pMe!PcnNbz4zFm3nhFT9;AF+-x-}=v+u2mc$i*M`*wX^p1*6?ty@vO>e1~7U(RmX z)|<b1>*Rv9SHBqk=CYEK%5A-LU2*-N&E+d^W*--tW^Mav-n2*6R{Qw;yj6uKzK{NK zarVoStV?UT#2VMyteK}4t-p5u&u3eXyFI#H{`POcm)#bUE|CuB(xlJ+)6e`8*)1jc z>ul;?qm-!Y4}t<Rrxz}o{AJJd&AS(thPt=Bt7Cn3>aT97(5d8(Z^2oy|F`<y-rT!0 zZ0Xx-(X;n*v$VE{dd-+p=woA5yjp-Uk!_RvkKCSUxd(?&2ZSem5t(QrvN11-ai_t_ z`!mEH7IZLdWE0RyEMqA?XxLNEruw+4M5U=nwy8;#=^)=hM;=C&4`&=&4*7;0@i7f) zT9l}1G}Cj+CCw>uGhNOFS#|a;=28t+*O;m06KEWg>at-mm%%il9Mx8Fua~Bmc2(rq z>+a)!f9Z2=Ubf<a3x`j~I<LI_YE7-J?Xur<9(}d-E5CBR-udLeqQCE#-CxXq?@Qjc zaHIJXJ74X;_+R<#zR;-?Gpdsk8ufPzdo4a3-gVn)m!-*Vv27;>WnNf+`5j_cv~hmQ zr$fP<y-a2IkL_}`DDs&R@A%2RZe>+#(jx5(Dx2mzFWaru?lmW4iA=;p<I=e2PKPs1 zx{N2S67{p}*0B(k7yljSvb6QnjiiwB7l#bojw)u>u|HGo+}3sBP<G~S^G8{?rY|w5 z65e}b;oHj-mOtaYS9AB7<UFzEN8K9An3{fmbnmv0?K!eCZ0mzJ-kG;%UszJKPn>Dp z^R$1z=6>IKEn(rY>5X5OzsWs)#zg6qUrwulxKKz%*35@Dd_GN|c=>eSe4#If6NC2b zcQQ-1h~=66{^jA>z4KXmX4tTXES=_@J-4lU=M{1L^mM~Ivq1TcK3md~_PH);XKUH& zmc#lbBE9k2N8gCoOLKyym_l7m6<+jyzfzEW!j~tACqw*X#p|Y1EAs^;XJ6Z^{K38F z!P5;VrwX3xS?YOf>7IauGq;tk&l;x93)NO>x40@S<Kyzh^1^|z!_s2scC6bl)ii$H zwiByLUTJBlOnm;p#rUYzT#Kgg36rLN5m`~ycBRzSZ^z10Wy^|IeBSqv`F#Li6!Rs6 z)eBTEoO}MP(P*F2!b`^#dVlpg&7WrCa8&e(FIRevU8K*k<~>)ZA4vHe66E-pCtD!$ z;6<A$dRYNimb<#CIttAacl7z<vVF0Ms;Ee%xKi3&zfM6>RgOhUXPqYe3j3^@e0&kJ z%ttZxR!#NV7tbqSX8HY|@rU2(q<Yqam{&gYD&|cInW*x9j=x0mslGV{hDzybu4jI@ zYUPy}$f>wRDH`|+voEOhsCc?k<$dsqkaNFzt}bincwi;;+?}PXE7MzA=;<u+7d@Zc z9ledOc>EQzZ0Gmdsj7M2RKQ?eW40jcjMs~z^7pHFHs}`aWr$4b%g8*deZ0>~A!kdE z=9<%0l2Mf_7p1QG;A<^$GT_CMF00@J6+ADNlq4}*Uh;HRSE}Fi`O0JCSf8g$z2@jm z%3LtB*Z8f+Qc=yPi!7Wkm~Nb>5!1o9Y}uSG5-WK+q$+OxS#2cmv%zJ$U%Qg!sV}@M z+H{4N@>YCSOEukmqS&Uz@0OyCc2vLf!AFaV9m*H!3b?(PaP3md8iUFWff}{0^9;VQ z&MZFgiCO5n!HI?go2Gu-`P^SecN()#s?UpObsWkoeoeGGvs6LiDZ9>=u9M4afA}*- z{5cvFHFd#R<H=qnj?8ZyTE5IkRa04e!SriT?<NJSD6Z|TCNtPiIr6s^Jmfsk$iPux zQ79!mLv)G{hs3d28M$U=H_Q|_<VfZAB;_RBxNu{(@0Md14mL~dUfcfR(1NqYvij}w zPwUqG+*=WyU_3iWbien~(@6rVof)2rybD!Y%qB2yUMm0W{xdd%IO*K-Y_$V7_Vm`z zbG@U@*Pnk%nRlY+r?a0b(iA5~?%G+x(NiI#a{ahgo_Ct$B9{%*@8pSDg?1!-(PN%3 zs9vufB^<tgulcn4eY$f!8UMTN+3&~tn8&hN^my>rTLFh&Z(i%)yzz-j761Q@VZ47= zYO+|R?Bp;~;AuMaBISSZqo0#Fy~+)jUW+@Z#rCs4ZSm|cqAlF7?$+FY{qA3y`Yzu; zTO3#v1l{s?ia2WTpLX`<pBnYq!p}aMyu5d0Sz5A81V7KDjPM8A61)F28~?oZCH#Q) zvj)?Mc&YreOY+Vr)lHn%^q?hM;P>{(pA0X*f4UlYM}G3R(h15ouH3P|7;G&)Uaeoh zT`}ym(aL7tZ8;ZJG-H0)G(TR>AihLBx<cDQVZYbTV^jApy0h<1?Bnxu_#P;lZOoD~ zcwq9=aNDyd(So;9)FLuh39VR|`u6-KC(UB{pp_FA9OV90I;Fo~)?H(p_<`rzVe?A0 zN?sk@UcAAo>z~4&_f4xOo;tLyM&w=N*3RiG4{2!z&pvS0^{*jA*{m5Xy+_}*A3PfW zS6AOhHtuqH_&l~+j`iJ34`k%7mp}I=+IPX4)20cTeT4@eX`a>Q{`lJa#-i))e(4(P zrK^^{{Py!vocM&#Uuzy^evoX`ZMOZ#$T>^!^{b=eHRfwJ{JCMoVcorU+ChVw?>`OH z>Zh*{EsOTLe#iIy>|5VG<!79_Yi7<RrE%bm)p}+2`9D@G#{R3BS$gPI@{11l)!iR% zXE~fMn%MLumFdU*A73WU@2(cVxIX;QJVQp|w-T;L)@}_-{`F!l`|lLV#kte>-8^U; za%I_;a7)#8H7Op6nai3v*53K_Na>t%)8aMk?Fl!}&%0A{_usxLUw*}Ind|BAyxQj6 z_Rj$=%DIgU6C2Cx_gDSowfUxYr+H;osolp7hFh1#JzuI*xb}mY#`EJRHG==f99tO1 zH&J%=Fa7Pc%l4eR8XWrOtnoDy_oS)Dm#vIHzu`6v>|FADXa4W|<xCUzJXm?9S&Ff? z`4Vff<KZtle=hMKW%^vQd$0e4VCRc1&NJoOyB3J6#g(69tbg1g;KqIG1yfjW@Y2xK zqc;oMUrKu>%48-z4pjfK#pS-;4EM`wjbHR_9-ZbWSRwGcSl#Z_+wWF+?i+jC%&KE< z%b$8Wackez%J<3*W%J~+3mBS<kG-6B>(%iHp8y6XDa9urn;UyyZJxT_d{2eK;fL`~ z%qMpR$xFzd<ZVlP=HGpF<MEu&(=2O`GlcDF(%yf%`A1Z*{uvABOVcjgPqsQCb^BZG z4--o{h7`7b*JQ5)cT*Lmif_El+-@~Ju;2aZ?GS+zUioiUs7@1z?^`eBX!-D;&*$QM zFRwLjug<Kf{FOG_)Jyw^!3P%kpxcN4nEiRM-u{yBp&V8gsgMsFg8lX$?$BSN{O#=O z_n$q?&vc*rd+CRq%$$l7O5KG|qfg12e=jm`dGg6@!>2D!rfrqm<<iYX53)QHVdOfq zHmPdrhIv^GV&)(Jez@5a@#}HQ>(6)p1PF`rYDeAhJuUL#W4YIP!Kv<RKB(0<vA%s@ zG}&yOS>gJ#l1uK2{5@6T_)_@2@<Nqn&nNdXP3KPifBx87^}~?@syDue7wC4I3yB>w zG52~F`Q=mR!gZlD7AejQfB39vg6+wg6~7&>o_r_hxBJ|-h-)*&rM^8EnY#6XOZ=qF zU#kBVzV(K*w=-BxIIqc<5q&vcTKaRyl(wr6ihZp%O&2+_T2KD(%`4l*eE*((wcEy~ zR(S4&vs`blR_>gA<c`T&%Y7`&xjQ!A>5b)ny+Po{qpCOwJO8DT=~qf(zQu`EU;EFk z^|el0Ng&bf4`VWyit6#qZ8M8z%ASub+_nB%;Ekf1_(!L&9Q%7``SCpw56lvjqbI8W zv^x8^)_2Mj!)^a!=3O}Pq*|v{kF~fj<XP|9WcN7jT^cn%!x-H7wMr!<Bwh(HJwME6 zWAA*@%JQaauclt}qp1EDo{@!5_pEcfxwv^^L;dfn6h_9GRsW24DEv5Vc>IbR@A0B7 z9B*oW&q>{9eR1pY;-~tuIhivKENyRGcr|2c_Uj)yQZ0Uq)h~ADEIz(V`uvZ{{6DRA z)0$0xc-`oI-(FyR_@TeBm(1fE5A~(RPs~eEld6eU+#vpR@=wk8VXemRI?q3UFioaj z>(uJw9~Xxgu9<W9=cfGI<}12>W$9hdwczlG;`7_Q_S&z~J2EzZ*1Y%P3m3n2zj9Ya zbp1Nl@3HpP4NK4d{AZPGdOeZX&~wiI45h`kr5k3*9ecg}+j-~5TdYs%rk`9^^j-DS zldr|s<<80`&6|F6$$5`+zs<Lrs((rQw06I)tlo*lw_n$<Oy9g>w&%L^z(t#n@4T5a zwSMoG6>(i%skydqThF)^Jh8eF5q3l4pV>pFLygIqje+?-w@ag|`TtERFE2EB-RIeM zJS=f?Mbeg=#xtgO+HQ(bdAil$&$nmFGR%U0f<4BE3>Dt^nA<4x`3bhGt2}b|`>I|v zM^w0DkzZEqGQ+!5Ka_DXga|KG5mT7O`J#*S$288zJK9)w9x7aul=)bqr#L8GQteQ> z%6XZ?>IzR=4|?%1Md)xQY>1eqqT_S%Vr1aWoP~<Y&(r;$^G-SVSNiFR`G+rZZdfTi zwSV3PbM|$=9$qcK=eF)!k?NJRSDrSBv|m?p<X<;kkAKabqb+q2z1|5&{@;AI{gFiJ z0`{=`{>w5m1<iVuB+O3y_%hS2R(gTvdM(uztA462+<#y6Y~tpL8RZR1viI-)SjFh~ zWvYzVthr+I=PRe~6Ue%MkyE9vSM{J^E6*nWu0{dAnajVXaIhWym6-Kz=b`UL6PA5a z)y=IGKcai(%PZ%L%oRNI3bzyq3(hz%diwE`JA&Nb1p^l}-o5ho$2uSTX7v;?@w>Mq zr{3@XW*;Ukf3#*j%i<IJkBYe@bJ^BS<tuy9B7Y*t`r{@ZCfj>i#vvP4y|)j&cl}FJ zbI|F+_{5%XtM|PPonIt<b=8YCn{3XiX)yW9rpbF))+#LPJu%^;<B|s&=W9;H29&1X zSF7%S(6du-@fPoWmu!UQcF)?fUUS)*_*VYEE-tknjP{os?9pE~G4XYLyL8XZJ!x8= zzrq(Vi0-Y`z4KIl$+0!wv3cgLQq1DEe>&Ii_L|tc)Hw9WB-P5vcNV?-eCD(H@7MPm zUj5GII@0E%R)3aTNXB2pWUA(V{wtG%#Wq@A-?QlATG!c3ry^#~<>givGynU<<DkUM zKX)e8)Y)8eRBw3Q^841l7-PZcwU^%h+EUqdzcC|TaIWc#tmW>(uhsje@!!1i{tN5l zuiGX~n;cs{`&!jK$B%C(Oq=+D(KhvV&%A8S<bxGXm#03Q(d;9!@HzWlfA1wXmZkrY z|6w$Pt2&west4;yyU#T&9{0;Q<Q_D=>V3t)<+%It;*7tWUgX|BwBl{(?_wUSb=+!K z|E>tJTh23k6aTsx$F79H8aB)B3Ge)GOR;bJSL?aAm+z-bq>$q&owdh`Ki$9g@|#s} zs-1fB<67asTnQhCppC6jXaBr^wNG&4(cAMQbFX)u&S<V>33Oe1=Ep{phNO>8?(J2I z=U#aJ+k2p#IZdY4Yew1i8A?nQj4`uUCfIwkR?E-gRo!v9R9`JZE-hu=7S<$(2aNmo zrr+(`ZnpfrjFQ#sw7K^bn)-`n{CC)_l=RGJELf?XaKJxu(YtM>3;#6FtCr4^6}vsP z`sM3wpM8HF%X2i1m+pI;pIdU|EANvl%SBg43hK!F|EQYFe*3I=wS-TBXuFI)!}^DB zr_Yc1C1v)5Un%KOlcdRo6AG$-JhJSb2&-t#TpPFC`1cpxv@iap1)@uT{ciJ4HJh;F z@>fll@~oi!Q@v8XG^ezvXhxL$-16Ubn)Rjt2Httw-ZqK8PxjyNF6Gxf-#I(a<y=mD zeErKzzI%@f_Wubxq;&G|Dh^*Ji^>1RQ!ky@<J3tzF?+tyJIf{OI7N&bS1tUpXf5m3 zBWgN7GGhK+wLbFa&*DvfMs?eKJvJN)^7(K~@}_H)eAf*3-sxK(zdg+MrDkJ}g>i^q zM8bhHjW<dU?)|<$znmemBDRe)(Q8Harepu!7>FLT3+tSF@@gqZ{iGjX?p}@+o%Ux@ z!}WGCqi{3Nm&M1Y$G=Y3bJWpr->5Qon*YIhd>T6)#Q5j&TufQG{!%*sw1+n*O<K9E zo1f>oK?mcL`Jt~mLdp^zMU|-(Ppf6Oc~$dB&{HqO|GLlfJ2$yvy3`!RZ%+Pn!ePCh zdG#v&`ftlKpBIW|oZQ2|_P_T;j>8A;>Uulul9kV%{$yiqa<aT}*&^{xYS*m4@#w^O zXi6$x?+~wjRBbX-X-l*F8=<d7)lMwyHf^p=jrupwZ2LI}uU*e=yw-I+yxpf4di!AR zlQ$}hJ)dOE@VI`Pr-{j1mpQ{~rGD|OE9W+Lb+FY;uyB2GgliLP+eXiKuTI7&yo$*Y zPkDc0eaOws&yzI&PRXw3d?lf5vPh6!=w`nG<KvAV%ic<S)M>pv^Eyu=rwGgX(+^(O zh1;o#UNYMMIqqJ@mLDzu{!gBHuB4#!<NvgRN7m=h-qQUSSrA(FhimgAv(HU#9iO-U zoUrZqN1J=k=I?bna`<MTrpxr){}*mgT(Yc@_4%FScOUM)UKw69^<A}Kw9t;Zk0xXu z-lCJS`%y82?yU*FD>WXie^=psDshgHUC-3h;+ub4W=(r8?v?d_`Rp?_b}Ng0+Qf?g zp6PS`TW1~2J@@4ItIu5jU6)r`^FDHabKBh10`XJZ4a9G+csF_5Y5lh*Yol62+k!qB z|8V43DVO2F-?Stop~lMBtYY7sh*`g8FG@IaeW8$@wP4lJ+b?F${qc<Jn!>sF6)PjN zubn%amauu>`)4^bbV_%{y*QrvLbN7un)=`U#~PL$*t$<X-${Diq(*UBwa<!TH?n4h zZoaUgP=zsVTKw09+gv>HDjnDB9<5KF{Ow;o^UYt8a@onzz58mWuYT=WR<@&J?viBP zd(AKQxBP#4Aob5>!?n9l*v)@G{p*V#Z~H~|dEF6->t5OQ`g^9`ALn;*ylbc3&c4Fy z#~*S&)ON|@DQiE!;nwMIUw>!kit|5Af3Aqw_(Zy!zx>0x-$vV`x$c}_v@LY~)_nKc zzt7EP&N&xVwl4j^v&zlkw|wo|UUhYff1N&K>-;yC6UwVa>(Aa<QDPz*?p~Oj^z?IE z?$_`MaXI$0YO8BYRn=65uI83cm}^nm8m{L3yZhJgzi%zQ#S-SUA1+TTQ<I+Kvh1YG ztd~{O(>M!@xJ6u9Rm@o16q>SbZtOnX^W~xHlzB#Rd%b&K`L^6%^4#6?&T>YV{lT&> z_cTr2U+(uj;m71V<&ftg&(5?jM}k>4)NyH4aW-0r1Z+?}^k8u(!*m{|8HNY-)S709 zvuubEI+)<i+UU*0S=1N4e%}4k+0V5n+~0n5)1l@S*?Q+X*F}4JGq6p1Ry%q2l6}** zyXyO$ubz84HYR9UWu<j6``XJ#%QvPuD@HlSeA~r!S)<~N29y56iru@7+_<^k=15NV zRAuDJShb09=hF>Rvkx`xtW11w{2;w$r&3kY%;kmB(t#_!adfU~a$~*3{Y~fOgWsDR zyEAnT@6C=dcr|0s-&Y4(Jfa>hDH2TxG7Ffr`i8^aY0aPi6lkxLWAS;lCHd2Ql}Vqa z)=y~oWD)=3YS0`v!&#}TtSXC+G`;e^oLF4Uw9B2Fy?tBv?j2%hPB_TCw=T`~Q7&J4 z>D29L=X-oXVev<7rllvUp63;tx%k^pNv&pEw)D*xM4lh7ubNqzUy<=)9)D;_>>1Iu zxvS5F?s|K{b3x2!*D_Vbj`y=XopTvImu%{B*Eu;^z_4pEgLPjRi_g)(b-7C>#z!++ zvzcA8d2(spg&l%Re0~+r{&Zqzze7i>l~}tos~PKQ&-}BV3nVU?>c(s-JYzcRgebQp z2ZxljN5rv-Jg+|$Y~)K*F-YLa&@s{3axG=KlxIZ3!l_Zry5AEVjdP?OV;8ikUEoRl zddH+YBZF!2gu`_i+{gC2r3rN2jGb_#aqE_(H5baxGO1-G#|uB$+cHJb=VIal+qX5B z7>xcK>Dd15n3Ku<RHKpiW~TPD`t#aiZj%-^m~o38*_G*d+9X|~{ETSX#NG@IpRgI+ zK}VJtgw0@G#;9_n)Yd21mt)f<+i%V948(u(`!8<^O7e_<qsUs;%_CxVp=op6{YKVp zN{e!{Yl2#`ey_2RHlDcG<>k(8^Z5(z$y!a^aKtOuRoE(6j<-6)V@HNZ2IC_I-_C#w z9SJrrjN%pZew{TC-*P!g(?NyVZ86`e6A=k!*ZbHRb##~C_<nE3=9)T{xyeroV-y!_ z)vtOixYPbn{*yyrULU{l%t_R1Tl(xRDO2m`YTgeFGgx)##bs-Mv$cP&R~cX5vH!oo z=C_v({oPJ)dc<uddvs@WM(C3#kuSd%xz5RCoSXFKR_Kh1KkS~mt3}K58vjiTPug~2 z$9LYa4D(}JRo5A-y94yMyxKZv9>Y=7@RsxE4Z7AQmwgb8RSUfTdU^%R!6%yzzc-P4 zshFDSSaCFSVaf6M+b6{~^wdnUTDB>k^+<!&eIb^J%+O=mOIX#KC094MnH%&y>^N>H zy3fPSvh8ac^WvK?mNZ>`BJsP!P4`xYuA#PU3uo4k8SYPb4KG~#S-f~v#+oy)LvQRh z)46m>&Sq*DTWr_jh;0*h-g37{R@iX$_hiAfbxA_DPxDV%eDgj1u<qrysH)(^((|{L zy|gj?_|Kb@<3x-EFPr>kD^H=LTas?XZ*6~`w4`~@y9FDrcE_#h+u6?gEOOGCb8&0* zKcv(c>?{7Y|0QS0ESADOYgp5yKU`fK6Ta*E$IZ$I8=9HUaBpObmeWt?x@<A|TH^aM z`^}CHF}tTFZmoGUU7+G@^uq-<OWt*DyevC!Q~Z@vcLXno&rEMCtLNn`)fD-~;l`^h zd8JI6Z}MtGdDn<EquBD!=E7|Iz4tu-{hwEM&!SxCdr6t?9j#B+v3EY^B-X$9m(!3Q zH6y2Z>x^Ie%Qn2<(m%h>>2_?1)AXZj`0~~yOC0W3_|o(~K|B9-ko}ZM28q;^#HlUk z`r1Pl9=t88xb*7Nm!CN&OE^|lWS!C%FBT3q>`>NtqqlqI{dXJ6)-Q3NaP~y0h+FLc z4j#X&b8jzhn0}v8*x(oQmAUIT_>`;FZ~CIX?0wgt)X<}qU+XhZJqQz+SRlSOH%fp0 z>XY|Q{AO7gS1expH1pDeqjz$0{QDn1RycK|LR{9b^uoq>_nKG}Z`3h8wCyurFlXCI z8{6|sn)8lC&8?VibDhPqyZ*bFm99�)MR|D4sTK}#QgD=~hs@5@QowuJqXYs4bb z_kC&BwYtX_F10oI#>V&a<oQAtL{HD1`TpQ5A=hP_;(EI_b1hGuKJmizdA^!m(OqBD zq`BXBADs|yG>=8{|NWCf3lak#TyNd=wM@ZV>g}da50dW&^tAj4TlDhvyNBY=hj;$Z zEaWY_ZaDeIq0oXyKjj{Nf1<S8?9JNA%Bxd*t_!Qqte(cYzOk^Sf3}y--nUC1f66-2 zT%GYm&7;|Q;_;}NvCVvP$G=sFEf<}optI@sx7i&QVhMRCANiTy<zR6=^;_+9Q+u9o z@RS7GeP>xBkNK?fpV}`U{95hC<2$x>OoBESk9kYn?mw=%VU@^=>62}B`yNel;;w!z zHtFMsMeT37{vA{f5B6pJdu)P0?>*x=u^GFoocI3WY2LB*<HEfY|Lb3Q9i(-#{it>M zoB3MV&!sMQd#+!i9mpeh<8oj*Bg2Oqi@JP1M;}VRks7e)^x~RbJ0n%aH`fY3-PgBW z>w4)a|3$^(>$4o)CZ4d~v94}X&JCNDOAY5;ZoWT%+JEtLA@li@pIKXpvL+axQ(w%# z#OiU$YrCVhO)fs-(YDuCciRi>wa(9r5mP%RE%!2GLCJ>}@t<X}l6eL5=kC?^_n&@& zb?v1yLcbj4SG|7myJAuLF1^V+-bXCxk9_+!Vfxv{65o1{WPP!2<<)(kcxT-k28N}| z%eY*o`YtLzd}o8q`<sV#SMFYtzT~Q#`IN3L&Sydvn+G@<#{SQrvg6qb5AIXpF>Rl{ zh26#EKAZlOK2WKwFScy^-e2#P`Q^@bON4c0Fa+*PTs3>`Y337?7k=lS^n0UJ>`Pmg zb=lYAS&eq>nQyT)WX6U^8wzJ0|C*!M6IXidaRNu@X%UfGC)hM^#~54m{g&)KBwAv7 zhUey<6W2ENUR?g~Xq%4GyPmzxM<bamjDxn`^{u@VIUz8%%jMwNw&%}^jchk<p3n4g zbHTr~n7^BzmrS^`QB3O4gGwc9*;#*<zc%jYR{zy(`(=N3mGs}74UZbqrsuFO&%2$m ePt-cATI1OAS82vViv0ido^%x~RG5+dYaIZR3uOQR literal 5556 zcmZ>Y%CIzaj8qGbJbov>ih--?KSA(7$R_$-%#P)`H`m>%t+8TYkmvjLW#Of_=W6fD zO?_UvYg^#Djs|n<mDamA7`ZsRn7A*Q=hmzFEBH&6@2jk;`72+VEnkwkRsF>Yk$cPh zgH26sSFZTPbLE)O{FN(T99wevi^=k>{=6prPBx}KSI)XsEpxl9RqeLo(>%{#8U8NE zmQQkg>-j3*<yNo%*^o0;%L2SKW(hkeE??O>+2tdz`j)ILo8XL-a<lw{FAFZ~e9~)c z;_trFDA!P`cjb#VH3eRNj|9QaR~cW~W=RLTwPi7!e97z|tiHl1(Zp6bNpM-CXz+gr z1~s)w9y28v4b-v{m>rniIw$*Zwj5-Wa%KPlwHa<Kw|tn=mN6yFnC-yUz;b|rQFDsR zyp>&M3o<UdDX`6(U~+-k*+1BUfx(d3r`d7w6$Z8j1_tJf5(*3#cp0i@GMGqZ*edW! z@p~At1!QHm968y*Xq3Qk<)8thS<3-61_t2^7g7xusLk-<Y+zvUnZfL6Fx!EFfx*Pb z+1ZEX$N`T<0=>e%rs`Ww`jt86Px->jRk_k;`I1lmTvh%Wb;}kf&8nKe<ks?)uc}q~ zgMC-N^;OQC%;C%a(tV1J$mJ_v9ADY4%J^h7Z`Qn7ro8q6{+i2IZslG1N^bF$uX0yS zJ}kSED>dKl^z%bb&*n4BFAu4nCo6Hp?^@H3{E}-M4qZRm+R@5&AV;diBg>O%YSxr4 zE{<hwJ~K{ac;p_{>vWzm+u76X!mT`(TLEp8Bqq$>Xs;Z0QhWcU8<l$>`g&&F-!5-; z?DO>gZT%fy-R|dK);8>1*S*c!V(q5ioF885z7pFbopbAj^v~O;^1jtiD)C+|y=ukJ z&M6E|^{d?k1vqbB<4G3o@_lv7fyHi$kca78;aQBTlS+C8*dz_om%aVMdr(C~+LKq! zaM=}=8MmEUW=XZQ@~TYsG(6<Rc8hJY=SDMA78m!UGe6m1UwY!7R$<6d$0<Fz43fLN zQia5p=^L{2IZa=Eq~yvacEMNsRy<lZfBN6g3?`kgE>A8yU+(+zuj)e9tGc(tnD_I} zzk7Y+*;5ZDxRoBOw0t3d-%fmE!1tu=H!IJ+wVbXHtG{EyqEFLTHZut@p4ekmF8fPJ z``4v;s?A^YBrmq?^Vy^;^VV*ARisnPQI5*_Wm7!3wqCn(Zede}@u@BIX0>@AN;;}L ztz}ae`}+4*qVeqd{b#d;oXTf}$A4=m@(nFAW|~k``E-u*MvJ+Ohwn&PbY!M*?(1qj ztkCw#jq{8wOFzH1$&>QR{Sk|KxfpK#?%lAOBZfD5-l<ota%x9XYW2mn)jAYn7gbKb z7hk!5$FY|Qztb$jV;+`N*Sn<$bQhVZ%l=gr3O9P{?;v*QSq^uQ`UH#BdN*s?v)6fB zPuiP%+n6z&b)u}eJBuc}aa_+?S<S-y74@1C!n@=Z76z~ReJqvZ>@!XG<J+q|Z||Kd zD#BjkVWf9X^XVq(kByBht}4s6J?>a|?tv2b`^EL*TNEX`)Xjg~J~jKy=F?BTTCBAg zCf;J(^u4MjMTqa)hss_4_4gyB81F8Bd|u)HqLVFed)@9nO!%y=EOyG_MM_6eT*uqC zruimw`6ep~y_>S>WWf1n#$P;_C<%X;nNhNS%{D<1eoYzASB$m^cXn|zx%-_zapy#^ zM}Xo2?zjFDf6h+RxaDnC;uop2S<X#9)9T-$-XAZ&O^@O{;UO)c_d9l~HE()%;S`r? z&mPCL#;pByHg@g4q6u^4*o{>u8p?(=1~&3ekjQz-Qop<0`8tasch#3iWyh4gSHzr> zzq0krPw!T{oAP=}4Zn9jbx%r_=;JFWjJVwpzvXG4bBO4z6A`JKcK%^?oy4&AY#$TD zlhwEH)m0S#`kPj}XnxkmEgLQUN;&=)TkK)$t~tWya_Vzp$=-x#AqAUzwq^56J-Obw z{%qSp&hX4s`HsuJCofA)QDb|5Z9(qR2;WXm@7b@L%QZAxr*7(5xv2Fx2M4=9Uv3^V zi&WsEuhtTZ+@kE#47_E=xdByACocN@`$FKEnl<V6oHtKC;uH#zeWjUmz*fcC`usJc z<=U@{X6BvRp%ob56|Q*5A|qz!Cb#BEj`~IuufO?~#v~`O(|OIg<(+#<tBqsBJcVaI zyi{4Ey7QQ^*xx1rmksyU{c6gr6g7z5WBNsAZFzD2lPrhYvup)6d`#gH+ZMRSa;2PH z>|?y&Z0C0;ql<ZZmxU|Y_y6B=i;HLK)}I|Wb+fId&GbLNbv?R_v1%#XqrYccnq6n! zxV!lC!Jc)ep2_{WYG61i`Qa4LGrD;{GIw~0D2d)rldPDbv`F)~=Z<7~i3-N72dYkO zX>WF&xoFmNbt?BEWp%;d|MyQm{^rWgl&<Ni54CviF4DQ#&#-dFj>rA~RvW%uyhY{e z(k?50pRzRnnf1(_3xW^Y$Q@s?U4ZMcxZb1>8@<ju)bp=Pk-S~IN6F6NO4G;x`hAOX zm6c8Y{B7B{eNGJD#BPbSQx{(D{;apx<Gb{(Gt$@pMBUu8=bXp7&JHF$u|83^*UP(# zx)(YJEet!Ge|z5ASetdzEQ__RIn9-yJpJTu_du|2b^N2b6+DeG$I6B8^f}4#@3Fa7 zIyazp*{#SNw%aPkGYZcAIT?J-eL?+gj{svXl`}o3zc4Ba_8s%%_MEIdH;pOnz-rS> zMS=4n%aV*^69054SGG@kyeLwx_)ChY$*Ihfk5*qh)FB|fd7GQ|36nL~_Do6^N(xzU z<=VyW3Hl|oj=f}-skz!yf8_X`JqAa1D823~QN7w4F4d$Kvcl!1pl8mXz$3dhN%))( zbxm9Oh{H06O`0(;W7B~}RvT>vR?bn(IOotQFMMh9IZx*>RbQD^bNGyv<Jh!s=q&jV z<ZzMAvQvt2vS-}Mt2d(lNG)wjb9WUp{g9aA&XKS==JZsrbp}4HPMllVrbYQJ6WyHY zn<8+m;lRS$tCp!j(<(wfW?l$4d$qSCHEi{!gV7JG@>ZS^onW$hnvipdNY}blKF<9d zM^BgtD{k)K+RCs(>rybE_No{|u2p3d--I?AIZj$}%wuQ4l4HIh5$<xAOfPNd<<9QU zUUZo;?esD=Q=PV+fMYC-EylVweANq<FiR>ekT94k+o~4q73TcBl9^4gwd7t_!Yso! zSFLN?GJEt|*017eauauRXmT@;&3-iNEvuf8^5e#~-ycfymI}J<X|HPf5g&QWk7?oi zi3?sVWsAPr^2Ra1jKS;V^VuAeS7kIU4moPHVk-ZUX&X(0;(`N1qVGrdI4w1;os(|Z zZQ8{ua;3vC!OUeb%iixhq8zj@W;R|kogm8W7Ru^j>fh}#MSv}-{K&>NcYZFIqV!TS z;DyUZ+04}(TbFPoGV{C_yR_W8r!n(|cJP%W6Q6XgUlq{2RpD{mCEb8vrS`eyC%>yG zTXS<sXf$g3l*kDCB<1AfZZo-+dDYNy)5!@r$r6`+d6yl#&343$x7l}Nk8h8(l(cZ> zwi&l143fpZsVzVJy*u?Zv+eT<aocCkG*V;xYA7m|EEKpW$9z`u?tN7!T{N;gma^VI z>T+$D^m~TOZce|R@G1OUwO`{=zv0ApLB)T)DyARrQm+$kS7DrJWVv+BuFbdEyh1eR zPD?sDX^GdRXG`s4)+;D4{*&0qZolQ=TbqM@bFcDEc#*Ti^7jF@wEPu!uE%rSW7skM zi<{n2%|%I)_H%NYzb{^`;U3fTK{`g5p=FjWKU+ajgy`<$+hZ4p#|S_73p3b%>ekUo ze-1sj`dz4d=33V(fpt+jT8B)h<OuTj?Yp0`E$?BMWN7>yCJ%Fd<FAqdHhWLV+H{}y ziOyfMYJ!4t-^;6ZXZ}2nN>gF3&zbpfB42%`d|vgJwU2u$F1bA~dePb`@n@CRh8``x z7awo2bEx)YyR+WwQK{V6zq*;x`uDB>`JUFcoG*^tdAPkaTfBA4@(zQCQ{Qiud0C<% zGN<v}l|}qD4&nLkZ?~r&pL{XOWLvcIv<Ua$wH*wMy!LbV&t5p|)b42(7JE7-ZhLr} z)&Iz;8_8Sj%Z}7GP0#!JcG=`gpT?+7>g<gnHV^$W3fws*zXX0-dGOvx2mOF1*@kCn zoX)CdB|mQqnqS*!bMQ15OSOcQecatOb8BawzV`kupKb@ok_$IhG$_jzu5)vepO!n{ zPEKU9Z{z<>=jOQ88@0Uj4_dLB=XEf*{6>Dp36k6so_Uv)ixli#k@BQn!8>bh{obd_ z8<$G#T<xO#<QY%H!=J(bjSgJ*N}c#2=KSpg@|&Hclv5jvR~EQfYA?P!k#YS+gFD^F z)>S$OZN8ta;6LTP>+S^i#SF%-^N$;Hu3K$*WO3e_(o=aa-ac{Pe7UVt=W9yc$|rGE z7q+ylT=!dhWm>`FE>S~4#shKhE-E?3KjdRtlUiMTB<%Nrov{lJna$2wXU^GMpB69v zI_&49AP2sa(r=BHZd~>Cm6K&z@$3sTRt7ou{0bBNyRWd>HkR{_2-}P;+qac6b=0%1 zVavSa<gd;&Bg*Ty77vT<299j=rSG2g7rtM#;-N%fXqf8M@1C8jaztLgI&N`(lDNon zs~(M=%W9G)F(|Jy-ryjco)<SY^l{z#xaU!|TIS|w%%^S>NG?dbrm_6|YLyy(Z{FAQ zcHOyq=v?l+&gK9&>kEpiZ!)|mywp(s*p>96sX>4*;;FZR_K{Dn?O6trLOop)%%K7a z2iby3FC~2BzjQD*O(nuz>i*aDzjD8NKaI<MQd+~f;^Qv19tWiYO{ew?B8QD1o5}fk zcC6<~p6MJ~=KRk!w$Xge>!(&8{w6HC)*PJ;CoV)DxZ$(<bc2h@`=sD|>_^{faxGAO z^Ik1_=YEN)4`bT><`l@9@wvAs?t9rP#KApV{`|jmZJRe7M>cN0(=*v=|HfDk#_Rnj zYh|DB=4p%57TRIO{o9#wuXKs5rFDY;{a{b=>|>SJ`lK1R_^xr;@$22=2Ft?5FWOZP zv>m#7@YW1#W9=gT(;_R~GECb-ryrly^F@H^ap}fMHev6V?D)U)=Y&tolzO{dKFRd@ zP2A0q(5TY4Q-0-(#|!pJ*1eSRGw<$OZyi(h$ndp{I_qBDIESPug<Cw`H&569=3B~8 zG3%{UYmHF}!@a|E)PqHP<tyY}*2WmKB(bs|Q8RpAmdN|ymt38)b(oez)Qmav*q<yF z@2+^B@Hh0~GNlv6*@9P-6PBH>XIy43JN@ib4o(FRiT_?*v#iTs9c$}2vp|7e*x#+W zS%$G}xpMsUschQE)Q_Byc-pO3qW*JN%cFz`3EjI6?2|7F`Ca-q;J~RX{-1jv?OU85 zwUaG7?%@0Ni3_(p=6f6N?tb`gNxi4T^2g_Am93q`x;0tu<d!LXOe>|-CE7%V^%p)8 zzNK@^al^gkMN_OzAMN7KjCuKDT3&r*P;1YcdseF2o}n?JzJ(D@3SR^m4?SF;`r)L_ zwvNe@avog%Fz3w?&6bed_JnYb=h2NvK4^2XRd%Gmzb+G}bnW2(lnpIDp?6Qm?t9mx ze`4zzb<vF)B@JJ#BoA$JSbF!7)2%C)vJ~f^&OESI`OevibA+uk9iAOhxXrS6mSgX^ z&z%gm=U2Vnwd96ks*T|0$v>o)U-*zwxn;A%^eq!lpIy#*^~FSnWHyD653gQT#udFj z-0C@7f7ON<p~EgdX-kgHcJFY~=rLM<B-L;(d!=6_>n#cYsOyet>hnK#xmd<0_MUo_ z)fIixcAe5pN15>TepyM|eN9<5`)uG*((JVkFcx%mEW0$%DoA(!xwqXr6{pq6@t(ah z{aCEAq&NTmB2Jm&$?J}`zU=>Hv)-=mU1}+Np-D2wx_&<19n&^nP&oZnRI$ucjA@TC zYsSe6R^EeiD!H2)^F*B%cyCMa_jtc_V|C!djfpchUbB{HdK0yFSpZY>OErau<pLYn z+Rt(*=$h?Z)YG)|-~=v17lFc@n~ZYYT&pnm6nkyJA#xjvJLexF^5sM33LV~A2 zV_bXbcGWj~@~_uyz7>6>CRA_nkN3CNXTP}j;bWZZku#>>!kLtOA_5sI3V$zP5~}am znsR>kTs5vqo^JXjM}?C!MOP%G&tksHp#42yUVYnruU(uv=Qs|g7;L><s`9M)kIQ@J zO0M7Oep-LbtrxgRiMSLzX4(JY(An-{jTVQfzy*?D9<=02am$o2C>)KrbYjcCvnfg3 zha-aL%I|PdXmu2w;P`lI0aM74-G|TfmG}m{Uz^T0O>iX}^L-74D?8hSR@@UP?&#B6 zChd}Oc)R87#w&juw~Mgl7ZeCAaGk1WvsB#niHptN%@@8Oi*(Wy%-V5AR){&JPw76B zpHYe6-?H@EZ1%$Qlias`33pMoy>Hp>tsEPCCibcQshO)T>*nY!5oGm9i+!Y^o9)}V zA<(erz}4w<>;1RRxMHlnyTK>gY2#YMT7_xX4{>NFbG!Nb>1!M=nzdoGp>0LEP;0@_ z1Ijm#YVSCbHp@NXTMj>i6z3Vw4WT-2k5)QFrA>O3($K`S<@(weg5Hl(zqz<7Yiw!O zFsTk&#VPN&kh|pchl?{aymu!)-6A|Q<fyhlpFmBp>Sd39(M}oB+4e3DJe5}*Mb3y9 zwe)$-U!yxywO#-6<gZcZCf(m$mHDpt_vxvpmU*~3IeRL0iq)%erbX!OoSn9@-{n%X zKxnVekEs*fnHU+&7|#4Sdfsj^pXl_-x6UZdJujslQFGnPX2XY`S8i+C9Q70!0!~*t zM@mF1v^@Dgo$qs)f#Eb>^B7LA2?y4B=4I_<wf)!;P(1lg%h%rK2I+@WJawntS2XO+ zzqw!`%SyKukt=15JG%B6U2F;Gn&Pz7sDD}yi>UK5ahKpvZO39xzA9a78MVmH^ODWq zySe@sZ~tU*Ol3)&_=xvtpXm{g-PWd6ZqXbw+{Gn$*Ew8IX8bSFq1*eXAX0xO(}jB5 zm6|?Nd_C(Mv>n%q<~sE+s5=|7tUz`}Lk7>w!k6dL6a^ES_OfkJQ<%i_fX6&8;`r|+ zuFqnu&CW`1e0h&?&1><Ft45Ybdt8?8n{axwawKbShWY7P4iguw_hsYb6mVrooRgyB zHg%c7Mdp`%mlh@Vh@?!g2z)c``VUXeJJZF>S%oV-V}txHHSe#|4%YYUx_0x{MHbec z$a`*yXTNJ|C3GC;$@%c<OQ`V7?aK_4TjKUz{Uh^G&D^2k?FLU9yZhX^ch<BEFZYhT zue~&HPXE~xrw;%8HsPjUylkN}v!a!?^CRu#SuT6;S3Y&mud80#&|rSCBd++?K7Qx^ zqko!L9A015wOKK0g^SU?Bj;ln#7^GScXcl8ujvnRjQGC&l-A$Z@^hwyv}|QBS-K`R z<gKZIW9Jna2kC!L)1vQxd0f)l@#~yw+M*-!uWq=kxj%E-#h0;f)$Msdt3~ZwRHxmV z*D>SYf@xBv*FtW-FR094_<NR@*a_uF+=^l`3ocpS_c^xn<Sm^eXY~)iy0+ojKOg7Y fA^ks!O@gMc;JC76-V*zd<to9goIJHhzb^m)fA=f8 -- GitLab From cd28b6b1e99f44a45bb9dd4e64726f19085abbf2 Mon Sep 17 00:00:00 2001 From: Eduardo Junior <edujrrib@gmail.com> Date: Sun, 23 Oct 2016 00:36:41 -0200 Subject: [PATCH 24/30] =?UTF-8?q?Adiciona=20dado=20faltante=20em=20s=C3=A9?= =?UTF-8?q?rie=20de=20produ=C3=A7=C3=A3o=20f=C3=ADsica=20industrial=20(PFI?= =?UTF-8?q?)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- R/PFI.R | 15 +++++++-------- data-raw/PFI.txt | 1 + data/PFI.rda | Bin 675 -> 661 bytes 3 files changed, 8 insertions(+), 8 deletions(-) diff --git a/R/PFI.R b/R/PFI.R index 430ee1be..63e7018b 100644 --- a/R/PFI.R +++ b/R/PFI.R @@ -1,16 +1,15 @@ #' @name PFI #' @title Produção Física Industrial do Brasil #' @description Dados sobre a produção física industrial (PFI), de -#' indústria geral, do Brasil. As observações são mensais e +#' indústria geral, do Brasil. As observações são mensais e #' referentes ao período de Janeiro de 1991 a Julho de 2000. -#' -#' @format Uma série temporal (classe \code{ts}), com 114 observações -#' mensais, de janeiro de 1991 a julho de 2000. +#' +#' @format Uma série temporal (classe \code{ts}), com 115 observações +#' mensais de Janeiro de 1991 a Julho de 2000. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A8 - Índices, mencionada em diversas -#' páginas) +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série +#' A8 - Índices, mencionada em diversas páginas) #' @examples #' #' data(PFI) @@ -22,7 +21,7 @@ #' #' # Médias mensais #' tapply(PFI, cycle(PFI), mean) -#' +#' #' # Visualização da série #' library(lattice) #' xyplot(PFI, type = c("o", "g"), pch = 19, col = "sienna") diff --git a/data-raw/PFI.txt b/data-raw/PFI.txt index 4740adf2..eb2cb198 100644 --- a/data-raw/PFI.txt +++ b/data-raw/PFI.txt @@ -1,4 +1,5 @@ x +96.03 77.87 89.99 101.29 diff --git a/data/PFI.rda b/data/PFI.rda index dcefee38eb9c69cc65cd304e14605319f0b31d17..c6d8a49b0c00e544802b70837e5206390f564a3b 100644 GIT binary patch literal 661 zcmZ>Y%CIzaj8qGb<QLtq&%p4f{{O$yH1-dv7Wd<SR{#Im`ghJD;bW8EFduM^xTbwu z!FTyw2gW<=p1m@-)a!AJMJmH2gRQ~DgxAD`fq{YHE3;d#L{GDtvT)MO6|TX5Jx=8s z`d_(dGl5yyt=ZQ|!r85jBSng_gMo430$zz(JhKwd2VC}LTgE8i?4zbOV^#u-Ns5H9 zo8U5KAC?3L4ynuq2`81L+IoZ?7cgX)NHIHHxWK?`!ochRvP?vvSpHRR%1OtW<#JIC zvdYUdWOUZZxOx6LF*&Be+JVDGa0OF?gGz(*DJ~wiRf-;(0xMY$8!g&paMtM~2hXJS z4xjrNITq}#Fz4a0yc~73^I08dTN!J}xo_(Q6qughdNYynbjNA|=bC^|LI>=ZUh3Mx zy2xzST(&6bwh6B!5<eK4R!>t&wd<_Qy|MV1^c{i8j6!ubj7o~ZTTL1kcnG`}usqA5 zQQ08je41G!g;j$oQDKsj+GD1SH6ev94o?%J8Z64hJ4G5#zdmoWl_68WpjBZee`w6C zjh>=g7bH1x_owXKoc+PDNBO|SEnT`E3}GJ8RYw<wcl>(c*P6h<!&P<dMOFaAcUzYx z8Aa*G_m?eT+QrZ?L0Ld}N8>WPg^bJ}SF69fy~|EtWxKo}ze33A+3VXk6ibIsyT<(> zrD5g~M)OvU+Yk8j^zS~swQdnZrorK<m5pNTLA%6N0=-*`mWfr#dF*FD7GNXbq@a>; z+$7k~kU=8QiBTk_Ox?)q5`$uD(3#5(eM>G2s9l=v#KJNqbRy3mhj5Ru*p|lnWUFbZ z4O}9!^Xp13cxj1v8asMCUC=orfLnZTtmbN~Di(&CT^Al)R8U`i>uUn5gJ#YVT}h6s N;zh0&0TV#U5CD!20KxzO literal 675 zcmZ>Y%CIzaj8qGbeDP&%H3P$s`v3n*)7U?xTHLSyS^fWK>)$ztgpW;rBYnU*;+pnt z1>fa!9T@Mdd-iHYrrU}t^@Ti*6POjGq!^?aF0eH)NC#Y8z#oud>(+4b(Yy{<lb&8f z+u)Nn6EgS%7;ZHfnWQkjVw}J@;j&MI6hoqfn}9&wvaGDCSyjsZ!GaSf3;WD8P&je2 z!{kJgp^=e^l#x-!$%#z~KEfQFDxGEvW>sara+??I@3~BEhOj_N!Ym0l2Ll#cw+5*M zHI9^9v#Ol^gMRDXzxd(AvVAMsIs=x<E<SW5eQx)Ij?0TUOCuCh8fPp>C@=_S*3a89 zC+XuHzNEdAXUy}Nm!V{FI7Lv(P4Kx43oB!JcBX_t?UZJ>_Sp-B40L6Vcf9<q#9;iS z>6!rlypIxs(nmbr>=C<W^tZpM>rQ2;)8t-Hap}b@Vo4{?|K2lk>gVZOU(dgwrl@)R z+AH_^7G@T^`GTzq9EXCE_bDq+mwLd)(ZY1$&~zQ1f(d>BEollWt;)jQlFv3VO=nzm z+s8SMZMj!rs~$63WwOebW5r^bn}j@+4sd%oTzJjawYrFP#l{1+=}V^UVc=-!-8F5= zZAIyzpesiN94xoIa!buR8D4p3LYJFcr+L-|;Ws=g!f#X;95JuG#Jv9L>A2b3tJqg= z{r3Ho<`d4t7W#tkd9~uN2Ay7B$8=nP<-J(#riH(*{?D*?`Q4y&#ZmS$v)^;x+xkn2 ze<r(^@P`X2ZWBM2@W8odcjm<|PL;=!&IU;gX0zTfs_b33R{kynL(0d?#Re>?&-S!x zrL1*i`?B-)u6HX%rwHYo6RgjBSFdl!@<q11WLC!h$xW};q+GRRaJi$$Y7{VS(vcPp lM#0IOn_C?ws<+83VAWEKHB?(U`=8#Eu7ZV%7hgtw0|4>)Cb$3q -- GitLab From 387df69379ac76a2e9fd7121becace4fa5f50677 Mon Sep 17 00:00:00 2001 From: Eduardo Junior <edujrrib@gmail.com> Date: Sun, 23 Oct 2016 09:58:05 -0200 Subject: [PATCH 25/30] =?UTF-8?q?Corrige=20dados=20das=20a=C3=A7=C3=B5es?= =?UTF-8?q?=20TAM=20SA?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Remove NA's que não fazem parte da série; - Corrige formato da série para 'zoo' para que as observações fiquem associadas com suas respectivas datas de coleta, uma vez que são coletados dados somente em dias utéis; - Complementa documentação e seção de exemplos. --- R/TAM.R | 28 ++++++++++++++++------------ data-raw/TAM.txt | 5 ----- data/TAM.rda | Bin 3385 -> 8194 bytes 3 files changed, 16 insertions(+), 17 deletions(-) diff --git a/R/TAM.R b/R/TAM.R index f4199bc2..d4b6767d 100644 --- a/R/TAM.R +++ b/R/TAM.R @@ -1,23 +1,27 @@ #' @name TAM -#' @title Ações da TAM -#' @description Dados sobre os valores diários das ações da TAM, -#' do dia 10 de Janeiro de 1995 a 27 de Dezembro de 2000. -#' -#' @format Uma série temporal (classe \code{ts}), com 1498 observações -#' diárias, de 10 de janeiro de 1995 a 27 de dezembro de 2000. -#' @keywords TS +#' @title Ações da TAM Linhas Aéreas SA +#' @description Dados sobre os valores diários das ações da TAM Linhas +#' Aéreas SA, contabilizando os valores nos dias utéis entre dia 10 +#' de Janeiro de 1995 e 27 de Dezembro de 2000. +#' +#' @format Uma série temporal irregularmente espaçada (classe +#' \code{zoo}), com 1493 observações dos dias utéis de 10 de Janeiro +#' de 1995 a 27 de Dezembro de 2000. +#' @keywords TS TSI #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A9 - Mercado Financeiro, mencionada em diversas -#' páginas) +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série +#' A9 - Mercado Financeiro, mencionada em diversas páginas) #' @examples #' #' data(TAM) #' str(TAM) +#' +#' library(zoo) #' TAM #' -#' # Médias anuais -#' aggregate(TAM, FUN = mean) +#' # Médias anuais e mensais +#' aggregate(TAM, by = format(time(TAM), "%Y"), FUN = mean) +#' aggregate(TAM, by = format(time(TAM), "%B"), FUN = mean) #' #' # Visualização da série #' library(lattice) diff --git a/data-raw/TAM.txt b/data-raw/TAM.txt index f3e620cc..7c4fa62c 100644 --- a/data-raw/TAM.txt +++ b/data-raw/TAM.txt @@ -1,9 +1,4 @@ x -NA -NA -NA -NA -NA 7.297728 7.297728 7.670061 diff --git a/data/TAM.rda b/data/TAM.rda index cac36e0d543bf39fa3278cd037b925601659c7e2..2fe9097b6778215bc09e8405198d143332746556 100644 GIT binary patch literal 8194 zcmZ>Y%CIzaj8qGbTw50YpFv*eKSA(7dS66M4FdxMM@>LrKqJ@kef#(r7#JA7tSZfA zG(7a6WGO4F^!4U@4x$X444NTQwnqLgQW<Ox43{049T+bA8dWv>vb8l%c6M{9QZ_Zo zd}$)*xoqC#D^*5WiBrz{J6x$$Upe{Y$`==AWZFtHi`<&mHaT;#&n%9nSyCWt5SZD4 z;Q|BWO9uY?vsAru9a5_1dA|6v_*BKbuF3`T)PheOVCGyHkQpSoL8ZaKp@D&+N3m=E zGLz*i9|u*mF-#WDsxmaV>}xP%R#v6vuMAH6kgw8N!GHZdzOY;t&YCBDLGuAG%UOSC zuL_nkoD(i{ES&QHtN+)~P+pVEYO@U5gw=$d)f6r^v<WVAb`$n-V`Mmyz$lg3WZ=ee zB;&F$qm)rn%4LTGGfhsm7%*ivrJP*s*dn;F<+8AknwrlHHDQKcsm#S0JsE0O4ya{L zFp+9DHDD0z>~)`T!Q{e>ugVM=muwbiFfbaJsAUKXF20nrtk<Anl7|nA=48#6TY^Py zrCb(vn`Lq-(N-wm<J0n2Ri?I5>Wk7={>sQOSw3sV<zPdTlPxD-`WicX)%BVjHJcIg z*WcH~q<ulwyyY)4{WDHnX7Tr#Wzd$XeC5lPufC;;9!CycdZU-TbWiZs-V<GcS}nJ~ z%HHY|ni#tIw(ir|#<k_Y1Jdp}t+Ksn_MCg4DnsIh3>%LBWfzhj+MJ2|;k8!syG~fe z++FWk`3w$Bd*+&TsYA9@Bm4H+hdQ>8F9g}gt=q+@Qu^RWD(lM|3%=a0c>4RRk;d9{ z$0GamPEDBkHF#p?%&9vk{8HbyYS+Z5nkipXj!K`j*YWv%?fOgIKUueYKF3detzzF1 z;8!`ddDroSmMRZl@N`+)EeU%T-Y#$|^ZB_q8+$gLy{!J6Me>T#E*nX<5}s9am~~Yy z)!cMYzj0J&ez2~j-BC@JUyU~Y8@nv+=K0M`mPyuZyE!#k{nE)rH6Pv8FLf@`TCS9N zMwD@vcJo}HQ!B3<Ehyz#HMdxs?csE8_d^$7?1-`xo9v#RzG(BsoB!v^hfQM9uVg%9 zAzk*I-{v9DhvycOYL^2pSM8sp=)9Vn<%I8(-p@~t+}&-=A@f9<QFgBUJBCR*Uk|Hu zuuL!c+{p3sTI<9q+hY{gO}>0#p;IdtQ!AGwmk3X@qEjoEh-QmM07y_oBVd`pLZ?=P zR<1;@W7@1-A{r@1A|Sa2urw=|XipfIh(<66OgUH>qP?f7l}kihVi{N)7f6>wz`_Y2 z^JakT0GZMX7DnP}wj6?(7ywf5)X)<+0c5fPLLu1t2@9RU?$ijJZ~|lw%ry`vBD<y~ zsg+AaSwzE4BL$=oZVnTO6*vJZm<V^rA&8e9!VDuc0v0;!t+)OrSFLjf1U8+v`llCi zdt&2h4kHIn)xb$C4ks-FY(Dfd@T{NyNAHk@0Eeg4(hqfYa@~tx=Otd%ywA9)RbFOp z+Kzc&cYay<oqflL*2RemEN7U~*b-JtGNgSMe)n#r=aKMr&o;~ExSVD_?)z$AgR#yD z&z8fSGU=AA(Uy}mzU=p9G!`z`UOVm4rQd>|V&3vE{JJ3i_M3<DQLQG=pNQYPX82r5 z>yeqU#21J7`S)59(!#^e&n;)*GT)HiV>OxY?<JL*zaRbxTol(mHMR0$>i^Eeb-(hZ z3M((%m|0b%lOo;v{@StWn{7=P5`NE7))!uI!6yB?SF!t^MhA}U(3h%rWY&J)z-k_9 zCiX#j%37u;F%!jZy_SnxU0cnyE9q-D{{*Mrug>QGChOh|6=cxawQE~t*2!ZZJ?bvR zEX#L^5SX_2ZPk7zrfvU~gs08&Xa3y3eU-AFwV>>U{j!U;EnF#}_|fj1Zf)K+jb{6r z7tDQkH*!z>e#qzuL&pN`B9DZvK~H{7Kj7SMdZ3HD?K?+Q)7?L}-hF7zHx6FM9dou{ za9Y_94M+D7AC{2Q!HXE482@-=9JhSy;iDoi1vpCQ?sZ_f>ZC83xZA5X=Y7<}&k2j7 zv@d=RRZr1vxO6Y~k!;SI6H3J{?bU}Q^Ij!Z_zTB{nOzYMpM3hyvp0g~PZzdd3^-K( zMJG$be8-K~9c!kCmj9~eyHzitBOANKLv=^YT4T23hZgCtzUuwqd{|yGXPmve+sfIQ zsn^fmRNPXgW8JB2Gi5nLyUoNMo(;CQdqrZVuK%gix@^-krz1^EtK1(k7c$(s|K<1I z58fBQ%E@HrhjKrEez<<C_YIp_3ioH8ss7`TI#22UCDn|D438zd1)`eGbWi8Hw_K>0 z^#7mA1=ZLiYZfW`_eT6#DrNbQ`@?>P#dg=T=W3?p&H1!S{cpBn|I5j@K5o>qSswX< zpJmpsrL*s?V(WRb{-w}2)k$yPFu!Hww>+!!?Bde|l};-LX67Rv_Pm#>qC)5A=Uabz zyZh~v`fmXq<{3)I-@bmprPwuZ@oQG+cOM;pOGW(M{AHgyOPTdd=QLI=u4&GzH-vnd z-TB4KFtzSv9LJ1Ev+qjxN~SzoSbKj`$X$op@M4QKEJ^&1VmrK@Q+au9jvbmWc2PiD zHstD#o_$*HnrybU1=)+pPW$kzQZhdD)En;^x55}SHwy3G$mhK6>eZ8Xd;jsq`AOXj zTb|}~<mHU*8<TENE_qZ}qWWORTOIEre+RZ+Q9UQN9JZPX+a|D8KDl!JL(!FK7n+w< zz79Em*)#K9H1oIRxfj-~X=c#9I+MYvk^d0CW%>S2wR6u>PFyK#*}hNU*TPA2j`G*W zUr}E;W!k4N!W*O|LT-F4YuP#L&I!(koc#+8zQo353N4a4=5u)c)yrXb<+i--C}MD5 zeRs2%c;h?fSH7Mdg5M(8bX#v5cYjfNqqbO^X;z5qEs=j5xz|7bvQfErC^o?J0q@y5 z{&{i-+0wMH=YMA9PJ8}C;G4ew#l!|3$ttcS`AgQpdcs@JEPAJuYti|<V9K4DU%Z{$ z58rnF@Zm3${v`hBb}chynU}nI&ir?jwzg#ZUFfpuwVSfLYnfx{;lmHF+N|2C?Y=+8 z!TVbN`kNPadvmI}Kjf5;a_o|0p2+{$b=iZGz`YLfuQvA{KRZM0`R|LpLid*K;QXp+ z-0JW3JVqw^Yu|$ns;^H^671dg?TUIzvPHD)r~2&uGv69$Pc6Qc_~PA+suvyIUhg%P zyi&!duw3VwYkXgO)9IU;OPViMF}<4bBj(grIm5tDYc^f_FIg88ZlHc5NYE{-Pt5ww z*@*M^BOff%e876YbaqzA-ou<$&!68j<S2Ub)+fGBHgb~k*7XnG9DTDo>J*dRV!e*~ z4WcGyPx{`97_&Z#j0=2YGHaz#?0$ubdjn^dd{{Jnj#uWJN3&Dj^ly3aR#N#v^X_Mk zO>7gF9{>L)<?7dJdn^A-YYpY6W!f)1S+nlkouIU(l51WcP`W?+W3<_V7K;sy7ccI7 zb?r)C-12L8=T<&Y%QZh-@Ya0Uy)zSQjVwwx#pf*(IDP9xMYHU|R!`;=LMM!RmIX36 ztYLl=<<ZY#Q@QF4{~Uu`ipT65Sgv$`%$YJ>%!TPmYJ!;S{&gB*7LPx@{G;7*L$k^_ zJhPv7yNj2~^quW19!X^>{cz*hV(t8ViH_Skt!ib<e(onl&9WP-7fk)<x43LWUS4$n z@A%pqKAjT_{;R)VYw_?LpGt^$XQ&qc5jly!>K!i^Ixg~AB5AJh{#b<N!3RZcQXHMJ zEKd$QC^Todv3JO^Ptk8!Hz6Q(afjRqc8_p&nIz^ujpiOj=1ZLp7E=T~rpE>~9gh@> z)a|yNv^Fy8+S1ipQ5$oNip83xlC~U|*m5(l>$P;!jpUxfn2^Gl<g8nZvu-`h`D!0* zojc>)Go3BBb+eB&K53pWo&VC&tA+i|>-I-&KjwEYsQ5MS@E^U95<jmzyQ5PocfAO{ zJ^gEu*0!lHuhi<QeExU*Y}L8a`kBuyK1ZD46}HTscZ=_Ty2FEO*}HDfzn+`>jz8!^ z$=RfWeAU<+Puo_8J^KH5VP5_;D}6rQBjOPXk>O?1XSkZq6rX%I_pGqfJ!QV6n%5KV zPSLN{Rpz?wc;@u}67^Mg*E>3__?vL?_FWOPy1SGA+&(M(zW7X}c)B%bjKR%shj*Xm zO`cZT%=5zb_<zNtof7Yy8vZ%Yc=lg;L&>CPWebf<_rEKtyz~0yck^JmKOSfH_U`+( zxxXUVYS|@=`1x<Mf|4|ruiSEl-EyTPUuc&=?vn%Gr-=9{ZVfo_``!8DY~Rl=n7}am z-l2Q;`Inh{mvSaI@i1@Wx4ZWD4!_+ttDf7(Uo>8kFZW&lT*LlZ&AElXM`oGZT-e6@ zcFKl=b(~ROZq&`HRM}8yedalDr10U#@6sf@f}$RVRcF5IpTGUN^2DWurS;+_KYp#a zrDVQt^SS&N=S!L-7QecA-cseoxm6mEno52xb}A6fHCHi`Z=N^F_{5|Q0h<DLuGL#} z)-FEs+2u`*lO{cQvTBC^#;y15BmU?_)>+-SqN~k*<J7m4XR{hl=1Q?$4%qTsXUnQn z*9BI+ojq$opPJR{yQNA#<}2QP`4e}bZHsZ6+#i8ZR>m0u_uhQhj$WdyqEvP9yhM)C zYVHuzw<QjqPEH^1UH-Ruibl|D_mj$7tnTyMeMnzWGqFjj{6);Re(7yq%d!hT{86=x z(`NZC^Lp(RjlgH~HcZ+q>{sKb-^e2<I3+cy<-)B=@=ULe2Fr9CTh461ESgckZ_~{8 zke}0b<;}{{_!pO=zgqGCF^FG$uZREFwAT}A<$R`wJ%5@Q{!^Cy07p!*qDqS~2&=Hl z=O}uA&H9^VKl@K$o0+G~)wB1dHC9;9P1=^uk~6h9xkk@d>~to}J%%T)w|6W$^zGRL z=A-;JwNJcmE$+P-?f!D(;mMBz?{Bevqjo&$$&|=>JD<wWS{rG8{_>3)r;3#?qP73@ z&HHE)@2BT~?N{$42JtONY(-S`pX_+frRH|b@X)!2OGfeWj6yc+cmLaX;=Hdd^X11s zJ?~HZeW#zxtbh95J)MST{v1)Zi>JhM@Ub4R7Q37<+2P57hcmWxWzS5VGg0-}qPZ6y zX2x@B1-1wVcFl>uv8Zk_OV9L(18J8;?mC}}e!Z_}xynjArc>wBc76Y7eUXoIPvHS> zM&&6vlJ-F%A6j;r{$3qt<;Xd)YV!Nt`+QC+tbFujw@7R9y|ApWKc$+kv07ft;a~is zQh(#BRon8@KIg5vs=~+c=)cnGgnd?TOFpVhnX&L>;!TyB^!$~TF~J(M`DYb)zGV92 zAJ-<jbJErg6Q3JxxN+u__pc1)nLkUJJ0mRkcPfQB8LnyHcxUoSwniQ<H4mQnnZ3Mw zEmyEvzuTMF{&Q7c_<rA0_Vp%TeJ{7hC$E{#Ci!>mDwRID_bxhX7fof^KQ&_IPpO3l zlk}&s)Xa2{k8cmWrj)ZSFDGj6<3KC#cfY!(#htm7S}|eK?E?8nW=GT)PTqL(mSp>l zNe_O!zLnyw;Pms*;R#ps9;jLH<-N{M-7s<Afujl5x>9ULK5c1<4VK>SUuWH(w)OOe zFLp`ml~*)e_VyI6G|v6u|EeIMfWJORF>;z+&cpAT<!&)&7Jq-BaU&+wx4wU&e?e6> z|HI91TSL!_lvV61f9@2!d*PG(HS-l*Y`>KC+C^P1IDP17GH>Pz?g*LahJyMzzjmd} z7Tst6C%hu+ZsB8&GwFXm%)TA1H?N-i?l&Lniad|qx`$61Ow)fm@7dC=4-)U5b(VHs zX!+H0PN6C1d48>`=bLhyBowQY%fIep5^kTl$o=XHcLR&5uXp}b`}ygH=11$7&nCz3 zK9nk;zAmb~wIFm2UyAGfAGZ8Q?ZR4fZ!h50HV(U)oy_yg^prR6w{w+xp1So;1)r+; zYPvozoUDK2WAPlN$5ZZyEy};bD7tKp(tRgsX5YSm1){+P*E13r1r+bIP1EFHm~%O} zxkL1H!Zs<+97RbPzJ{s!jk~vV@LA=hrfjYH`Mg6wY$D@<n-}lQWBWBtT43KllYcMI zi(JTH_<o5y>A?oCds3VW3!9Gii#$y|Sym|YYJ+za{|r`j<{2}+1(%pBN!&Og__g@< zA|d4)t8cWtYcE=AF(ZC~)<gXx?I)(VuiUjOYl8rTTr%Suq57Ce`DWpJ)88vTczJZo z<(<uI3nyi651o86H>zm2rjyS0<@eW3i@Sb5`1FmNs~-v5@fUwN6DyGaHqmh5x1|#6 zO%97^c+XwG;i2?HqZxCnB-Vc66|Z}frrvADFr9VE$Bo+4Z0CNm4suYK%2_gXc42eA zVeax;|5*1Yw)K6VuQtbj7I(K}%SiHlvevfa=Z=L-*d9c6I4TA0j_<DUZhdi&A&xyT z=FFy|2TCPNS7(~EIOyw_g@j+d8!Xcukodf8>&4aS0mbtsoNw5?De!P>1Z%SU_Qmh` zuS|SU<GXzIjeQ)p{NnO$ybLECvzHtweZX?hZZhi~rMgLS>R$qxuAkj|^3!UL{X4WB z-~O8`_?%-$MVPVBMHj&}M@lbq&s|csu47ZiWa;Nm*cQ0R{rn#8(EN8-MsoGmn``$n z-cHe6*4*L$ds1yt4_CfQt(N*(C!;-93fX@%|6Qn*y6bwQiGOvo-W`!SG2b(mz5lkO zuYhaPhd{S%(fc*i?e+KF`?RH{Z>Dj{^CAUCt34skoV#^(4hKAaZ$5uE=jp?5%V))f z|9NXtve$?G^pA*$nw_uH7q4lU>$)_-QhRN?qPO9)^1^o~!h0l^@uzw@G@mT5z8aeG zLEU}5+LyfSSxsVM4wJg{HXQ!Y7390V`e3*<%k<Ar|Eo@(JgL4u{BlR|GmSv~;2S4- z|ArJ>6w5x%I)6Xd?by1cRcjUtu?R2Uzeg@<QQB7ZH)}dK*PnE{S`_s4d(R3xv#%n@ z&YTLnG0*w$k|j~|l6pb}FMVV^6uV%T+eDd|R{yJ6TIOX<TG0!pO$-S3St2xvi9Ki* z`^$!=Ngj?3lPBI>EgH-io%F~sXw&(~lU>DZ9#%{%%$XA&b{%-k>F|iX@z_*NhN>Nv zQVyT2nv%Rj+^)(*X?5B%uecQ?a_|N}bA}1;f(se9j56*T<=j5|>AiHoO=0!6O=}rk zly93xh?I2MNCvK6+Ax8EIp?QLvWLuvbvJm^Km0Oih?t|4%WM54H@(ZOhF@%550^r? z+p1eVa=bN)C#Oxz=N1W<ll?m55ZA?^55kMXKJC0{JgfHEzXMFlDMgkSc+>ls9vpqs z9GNaK$HMH$QOz0mW~8n8Z1Lc8r2qFH!Fk@&{9=xq<L-Wm@nvNeVwAQp+_mIpR!5k6 z71PS_&4wMON4L)Tn02zRSUg0E`RqIUdEU~DO$<}lGEI#>`&g@W=^mkdv+69R<>&P4 zEEG_!>`s|iZ{Nq{-(t(45ocuaUU%I)SA#9@CpBL>x!C6Bo|N>1SH!;@i&HwW^XAu# zh&$r<*g5PER^~lnWDh?2iM@Na(Tj|bzMhnuYUY=O1rut*=Zf+z;#<Lc-19XXXXrCQ z)iTwx8rc^sLq6`-=F17Ki1{jIwIp`i<YzPIvmQ@(_h0;4Z%WG|bLp-o&huZ^EBnZ8 zXzhq;+Rtb)QzA?@(10!Zb%x;jZA>+cX1-UQR{5pw_x)LVVmJGWmtQXZQLVk|_44z3 zy(5e-H0&NI#=bT-K3Ts@FN3FRo?m~ZdHmx^cWNazez^bT&H;~(e@n%8ukwh`P%iOo zc^7&6^68e~K*QTkYKC?fT?O?SpU3RK)pqUO;(V4FM+BLY<3IRMR8qa1V);W+UdrH> z$&5oYx39h@zi`&RXPeA+g*7?bFluMMWVCadur|vj@Q=sp4G(%J=&|kQPo6KTEtB?m z$Gp?Bp4&d=fB#SxQn*Fx9M{)93o{<N=D&#V|LHyFf5GW6^;Zh(UTxVi#b0dt?`rp* zawp%*PX0TYi@D&|yt(4yrRUZynJ<$Qq2PCY(p@{&Rexm)y#Hl>dcAn}iaQf$EPF8F zMia|z_W(xEiF3k}Cp~wMw{j5(%$s?fA#l#Jq6gv{0%|oi+wa)g6*OCUW;bR#+x~s> zV8^5<!7_Q*l6x4Es+<cdZ&c_1*L);5V_EXC^aKA7*iGxXvc3DKvUu)0WmW0GVjHh7 z3{!8<D_*i<HpAM+OZHMJUpp#(Zm8$h<dmyxUC(gq+O4ls=X`l|uSA*WMoQ16>F>9e z&Dwlw{ppn(=hsb{s~S|VA+|7i^~%Q<ChO~sQfg)@IA4zDb@Se<%`sz_+pTNoRi5-d zQ7D*r{<($1)AXRpVzveUvKvJo@LmYL`cX`N=Ytu4mvwXnEqN1ib+7Zhpj9_so||<t z&b;fFMYnsWY1=!o>OP4{$#WtMoF;TG6#O4~>8&BtHRgNu{r|pxakuxLGUdeiRqhLF z>fSFZGce@|wLkU8+SrBh!uDsU3M|(v#eXiY*5EiKy{%#a+do#B$B%D$@jOs)n`-LT zD<sNOvSIpzIz|guts<7^VvJmq`c{^6{jHJ-zr#Iy_V3rV>Z>ot%j&&0?3moB9?ajg zX<ynsmc91kItLnCZau$pXPaH+zj=0tS(NvmRIcahnicVMRZPgHCsjtPj!!;i;_>X_ zKVId~Ud3;Mo}ntgvX*z2H{Z0ft)Ad%H``;%-HCF?cC;|3?RmC?X~j9S_f0E)^E3Ca zXbhWd%e3P966HOyQ`|%9uN(R|Og#H3_CWajeQR_@Unn&s)fPG_bWEK&v2B%Or03y> zihu5`+3Yx#BgH`HpMUG;dEAruN^Xm{Oen16UMcl#a?I1C{jVRzZ{u6PzFW>eBje}9 zFIsH1iNCgQ+O8JPefaV|x6*o^Cwg15nP2@?+HgF%Bk!L2<NQ5S85p>>XUE<>o!BPe zq7nK2OWd0>-aC#<)e{#4I0@{WG&L}$G|<fF??2Jye8%gYCHlXFZ7M39G{xiEwB-rY z@~%$${{7pu8QFd^)-ygRgf!<eO^MNw`Vp*_5fa0^O~{qQGq2fZ($ut#!M~zjb21(l zKk$jILuO(g|386)hwA>a^{O87SZy2hweaKhzb8W$Z3vZHu+q0MV#CeQZq>;%9z9y+ z8s*ietLnL`X_l*FBI6E|1y4B}?ua;^5p}#Qdhn`<<3&E^3M<})0kQ=b%$gl;@q$YD z11~nbvR)r~^M}Qqx63DADZhE{cwhap$h6{W+3E5t{#(D%`1It`E63cAvkwMtzx`MH zfL740Gj2+U4o6gET>iMSC~W6H-8$wY4$WV7*M<BI{%2d4B=za<hqY@JL^+b;51svP zlWw=n@t=6~*~hI4rBV*7KS*0GUAZ!4lh<0gwSC9qauSuLPrI$&Ej+hvQqJrApSvB7 zH9UIt`;F4l&q@rTzhd+v9J~(btG1T-Or6ZcF;jeEOLm02(jk!^hBUi!2CqY`uZ^5~ zC+K>m=(IT=Qcm!1ICbZQ_stZy6PA9qhgO_mjXM#0-tMXER5h0MofAYNxo0<ZA7UyK znmR#D!kj^PgTkjsPJvCVYp?y`SLwK^D8{2P!zo71HQ`X;CdL#gF$XQ4NlX9SsWLyF z#N%wKVDjpp1=lkt>unyPXH;+Xx;DgBbA-%bn#>WqmEDP1QE-#jCuZe4l1%5)?F64V z9dddV!8hsAL(LlwOOtubZXYesIFQEtj`5JI8_Q=Votp|aYndH9uDnXKW?;(=G0|#U z(iUoYeu7EA=SSHmiA(ryeP9-zd~9u<z!BF!N|%@H-WyW7Lm*l&Y1c~O@cL6R^RNG# zIIm_)zNp^o&W!z9p}(}^>ooiSZ{H{Vj@c?Ft>@#D<E)EwRUe2O-LZ5$e?aCbL#+MG zviaU6c>-rU)J*0{&s^EDxaP&PvX-2py<4j9lnN@{W1g)pZSw0=;-!B<Z_310)gN~A z?R+`Kz0T5jf^6?bHo<3hS6?i5+@$09I;nC+%U|;+&SJithqmmkt6(nT++BHqi-#>` z2mk8$WiQRxS8&IDoxf3{z=<(BWBUrnNA~(p+{+^}q%V}!@hxaMeeTrmCqnb5h|Ikq z^hU5c$vJ+K_~%;INA_R)*PVLNJ7bTS$SkL`6H2G-{iL>{OY%&4=B|yQ20iCm!nhKT zHM&P!Kf6)hw@G4x?6s#yPHi~&rb8h3X;*CVoQD_Ec~w?DV0krVRjT*$N8f&($&NV9 z^gqa~_R9UezXSOkLf9M2@}79KdmC`D9=1Pe9TUcyWmCkv-B`sZQ&Z(xv*V|Ri*hDk zXS!W!=k`8o%dT(7si$bN{&cF~MFyF#U#?$G{3N#TM%?OkGnHRDXMAUID6MEa*=$v? zz<g!#y@IYIa{FWiEZ^QWsh46tQRJI5+oXQxt0TW2Fm9i>?Ly%_4(IjKv2F6k)2dI$ zWNm+wr2Qnx<Ko(^^Q*T_aGkhs+lAS&6aJoM-PF6TC9E;ZZnviYPUfi>)1ENsrikg9 zRf|?Aq#hLH6Oia?zJ62i?A_v*l`C5&CMUi=*}P#g;{;D%dG1Y|<%NIbChvK%=d4Ox zD(5A^IehQmo}0Jp<U7Cb6PDV)+jK4B@?(yTSLe=KblvQKy<5~0UwxB_T+HPu^W!(i z%w$dqo}&D$Bjow<m-}~Lou~6I<sjFpKf6!J&s!%N9u%~v_Jd&Boll~51$FHfAGgj| zaN$k-dLaLKhf-Hf;~u~A&rkezXS=MtU#%$GBX7Olc%xvBP3`|RonD(4t?T8<kIxM# znwl}M@Fr7j%&BGJx;H&i|8(q&nkB^0T=&Z43w!q4chXt5-_Bf;;!d)+PzkBdaOdTi zywv@0$8%lhkhP8cJyW&KR_fU%KCO~n;y-1n`;@}zOn+Nere_Lp_%hkpX1~2#bmmcG z)Sv(BBGfPI%hXwN-t7_KTH&6yc;Y^l58ga=hR(|V7N7SqpUhqKI8-}O>KqH(>pydO z=GxiVM@9s>v0l}_zS{Q0-ifsgCHg0(I_^m27ThZ!aBYIel&nuZ+NBRt^EmcT`gxmk iY5nYzg7S{9l%E?~6<ND&+g$&!TqU@blk0kF{RaS_YgBsx literal 3385 zcmZ>Y%CIzaj8qGbwA^Fpz`!3+|DO<ez&)Swd&I(J@(gSpnIY57q*Kk*rfto+GMRzp z0D}($9v~F5<kl>?2~rsulDv!yKniW$u4KM4G0HGukTPQ6m10Qw%D~IO*6cQmfmy-i zLI&dkDaHjCn0y$785j*f>T%)BB^*~W+?KDDTfU@j<$^EmD__;EkXvwZOXGwSyu8eA zZ4L|<UokHD%D`}|ZB~W}o8y8EsSF0G6t+x5LuThI4E!EOOj@d3bxSUMWnXd2ahb5M zl-%+anJ=X(l^rq{d}Uu8xYyThmQ?0bW?w0}#qKLonAP0oE%-EV@r7Az%~vWNzS{a4 znPf-@zRI}lYwPTg#B1wp%H!awGUdoso7rwFAG@u5Rq1P#>(4S<Bv<gom5*vi`L7zz z@Lc(<)7E#(l`FS0S5&E;T$DCzW&@j7#pElWOl=l!%9Pgl>+7GP`Krq2%2&B%^A=n_ zYST8uXYz#^voFn<^X2_fmWme=nk;!wl`@y8_;>|zM7;ixXsOz2utr(rNLlQJV@gUa zsw!G6D}KyB*Qqxpr!_D$(NQyD=ZWn{PJXvu{9q=l!&WE%0~%|OF$%S@IWh#b$n;9j z-^*U|!C|%eQO2BxcO8Pu8XY7WBpN!nEt$5*sh%v<tGaexBHL#I&lV>g9s$k0QzmS2 zS?GHuL3(r9j*B;&-t(_pw{nu7k(+S<e_h=5OX{D(`L<=<+p=Qq6WzxfjxajRaQMoy z?bJ+W*%r3uSwb&_TOQ?X6W=h!%ISpr!If7Q#1u%jINB|_lD^Y%s>$cJWgf>IEL4=1 zbGo}INSuCTz|O<<=0>3~Z*)n=ywGp$k9-bZl{mC7aAH!%6YphJf3B_Yd*a)l`SWq{ zL%k)7jBYOZARKqlrtIaT_cC|b*S47D`+F|@(7Zix;_Y<#rw=Q86P;c)8n0>g`tV#; zDC4qT>Y?A>cVxFS{@u&}$CBa5P5<`Q>m^Oyd&4$!e305GyNr`(=gT`YKR?~`P0)Y- zlFg}Q!5YO$$qHH-4ZM%P2AngTb^Nh%x5C0TPD};yOKyB`RNmJx!=6E?zB}whQNZ%* zm)<k-pOhX?xy7>5Tr;isnErGFx&GR<PDwKqc@HjS^6vF|e01l>H+Rxsd@p+!E_w9B zoMHtfTb6~Noi{V*`Z7dS?0IGU&z~{<j>43-Q&V2gm%r%q_OohIh4^{-xX{4r|4Uc$ zHoE={+Z4e6;y%01gfgjqRkoZ>?*e^V>`&@7Pf2*s7SEDy`DD+HMb*|D)cH=FyY_d> zj?O5RFWmX64_{?-PS$fQGV6NUt(1AkxWMXJ!uuK_*9k!<uC<s>*zWS>+_A*(R(cmo zgeONBq;cr1Jh9J)F}H*%;fXA3wmhFGb6J0~b-vQ`56aT-b}4RBcyYq=+1^=i^GYQY zJG~ZpMa}#%W8$jLhiO53C+>SKX7jN;Imw1K;YD2V{#h~Cov&m}`5`%J;)LREwQZc) ztUBce4W7I?YMe36!dAB{wK+U0MHGHq2y@U;TXXHAGwbs|&y*Mg<gK}0m+#1U-JH^9 zDXrGnY<H^q(^4LxMg9k3MW(HL%aYc)?@G|jIVUH@*>xH2mG55m`jh1~tsY5<2`O4L z+!C5Tay?~!dFf?cFYlL|*>^vdEqJx)I*;ZbrVVB$SCZc?$Xm~P&d#TKwdKie>kn6c zTD)(=8n+~o6A8sBn!*`Z8DB0qx8q35zP+BlOb2S7vv0SF*tWpvrp|;jA8MNO-x!%r zJCe$FY<2m{Cf=Q|!cEw9R_>Z$QCgO`JK<l7!-Z|X^)5HYikz6X=Y^o{yBFqt?oL;- z<~zl6DDmgc?9p>eI6d=q;ty}Ov#)0ve$`Oclzh*%tb5@{f$wR_dtb^;5@`4~p*U*q zmUSm9{aqLs+IJs~`ZB9r<Li8@aBH4jX(l%-@{)rmACED}^9$cv@H6}O?a8mEewpI- zHX@-yEaqH!Vx7zCTOTVb7fV0toDu4{QkmH~WP-<HsSW<>e`j4>JoN-;Qo6>PJ2^l1 zTK)8C3JaT+cr#$u#S4>SJj1k<bQTM$Y_dwp3aB~2viDMmLxAbEi&M%zt`K4s;>!09 zdbpS)B9F^rk=vgYQ=ce%e6kX|lEd+C+v+<jnJpTZYwnm5obc4;XLq0H_x1J1&#P6f zX<WRk{&qs-3x(gdwW=!?9{+jijI8`7m8eH9!g&+6v3wNZsNcEf)f$&YN^arNJaM|3 zjfuPgw-lK4J8pj5vSl*+zCH~Tx2UI^+E^Q^{4zS39F61C%MMP{m}Wk68{2`PIR^uj zJr3xt`+nh;WKFM6s^-Qy*X!9mR7KPUety{C!pjh*w5K;`(vnHVtWqAF%bcSX)x>h$ zlCGD`|9qPNRb<1NLzxdN6S)()cK={E&GY?fUgZ>aKyHWQ5rtZzzeQ@B4<0F+#B$m8 zPM^fVV}08g9EwyTo#wx3yu`?m8zjB9kIU0Aw||`z=NTr(L(-+4OAdH+*iD=f?jLi! z@7P3<1BM-Hfo}iB+N84?q|@501r>~0w2Ws6)`_o~cvi6G#39btD;~aZzsz~^7)N}R z`G)K%3e3$h#rIO4M*n2mQ}kc0upz)f+p+aU!@|FgQ7e^JeeGloTA(0(Nk3rs4*BJk zJk#D4%?$jQva50VB_6KHoXt%7n{CgisqX!xsTo^n-qz)H=<(#~v;W*HS9+gW<5{7r zyYGF~_7;KALoO}?j3;h=^e_^hJonp<ryczko7uN~_OX1dHuYToJil)n@~*UHUCI&k zTP*c-PWBnShv)ZwG+}j^&9fj)YBDpI#mcghARX2@MUrb~x9D&m42b<EC^T)$noTDc zJbC%ZwAY2nz(>DvSF4L6*T1F9eUqoo3Hy?{bV}7?qp6A4>^ElrkDMdFe*@Q_nc))) zou068SMQpj;LjmtymeaaqS>*0Q)b;**)?hJPFtI}e$LwddjAt^c{vt7T4FT&xA>2H zZT>G7if(w|!1e7gqtXMnjZ0>)U^=wu^Qi^dHotC!`};>!Kf2Yhi7UFtNnhN%b$aP9 z%Y^mH>3R8oCA+nQUR`F{wf=``E>{~<&e?}6m&q<KDs&DOnr1G1W$L~{#=n~t=Sh7% zFlV0Gi<+y~`%?3&R=IqrE9cnMf59PY`Kj6WSf&>5x3Dalv|+<GCDGdxD#MSTJJk4I z?cuw_4|jgEyy(4Iuw4HUgV7=>g}op8x)eI!Ft;vv(Y|{5`V+5ZBQu$r87t07cf6du z@ad!430GV9lnUqfCmgssHBl<hZ>z<=F9*C>^dEj_dhVttbU}UXZUf)8doC3RTb5<L zV_e3g>fN=ha$2R^#qVnlC9|1LH_e$gCouK+y1kpZ7WJ~+-WhyrS;f-j%PuxveA_Jc z`OlU+_8j+)M<4g9-(VVJa_~22-S!!ab$1q(DKER^7}zM;bT;|<`XA@d%Z6^{+VD~G zgGE|g!2UeO2CufAZdZh!o}aJmvFp>P#nYnK3SXMMqWXkUY=8~JhdW6-7Wf-T6~6i) zX=8nP?s;v25@CTmx}hS9bIi7F-yyi^)`{(BWIgWL_($GYw#NN#@Pn+7NtLgg4m2I+ z@ZWXjl)aZkx4L%ibjB^sPx-XFe9Tv$`F1b1CBw3y;OMTb=Sytv*sCw!C!omXYW02Z zr!&qjKC9QW9o_qKdCSX9Z{Eq>HDBcX!^=2%yWSL=PnQ0U@qPbuW9~?%mk4i&(CuD% zJmzAOnctt=^1E(Z9$C($eky?Dm#y8F&oYM(G-XXTcRuaj6F76mluIwYy#D4tHsFvD z7Sz+c^+HKbo#jTc!erk`dYKkou9t3g6+KKlT9mi_r^oY(#4x9(Sntb)XI1{b>Q(=_ z`izw6<+Y(Nj>!2;s`os~)=&_oP`i0rM$qq!_17yp)Y^l-biJC*^jM;=Sn1<unWdhp zX{z>Ka_65ZAN+VNgy-?4FaG{pRyn_E6*VuFy5?Uju&O8H)B<S+Teg7XSK1sTHmI6$ zMy+Nzel<2rZ97}lf}6{1qc)U%emOr*sWQlxeM!;rFMN}hp6*pkc<LXqfmdy{i2c-6 zzkfA-R(jSnt7h8cyUN!ZQwyd!_886Y^)=@Ez^ib%*+Eos5wEDn?EI^K`7inM?|L7z z6m|4F${wd!o@KUp!92B>9Y<^rsXr2#ET@0^R=VT-JsF=oU2fLBVwN^f?0dy_cxs;S z!zYO%r#i~^>fI`OS$IVJK~K&syE_ll582Nah&UtVcyQUA3r!z7`cCKR9WV^n`>kGE zl^l20aDSoR^vd(h-li3gT>bax$h|GmVf8iVTl1rS=dBo*Q=NXIY`F)o%LUB4X%rXo zRlp)<X7!%qK2zPoeV;62@Ljj>))(!=bE?}Uw1l=TH2ib)f@FNivzNA>o9kcOh(;-= zt^LZRx3@yNQs&FM2Q`Wp{R0bm!yX*mRP%#lbLTN772p0ZHby2_6yImwW;eRde&OfW xgZ&F_n*P^Yu5Bz}PJV33`R`2XT*E6`uO=P-FlABy|L&bib2L0;?nx|Q001w{I>`V4 -- GitLab From 43b881548fbe90cca0bf2c0d2bb32b90ca6d9d9b Mon Sep 17 00:00:00 2001 From: Eduardo Junior <edujrrib@gmail.com> Date: Sun, 23 Oct 2016 12:12:34 -0200 Subject: [PATCH 26/30] =?UTF-8?q?Corrige=20s=C3=A9ries=20de=20temperatura?= =?UTF-8?q?=20e=20umidade=20no=20estado=20de=20SP?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - As séries foram agrupadas em único arquivo, pois são observações de um mesmo estudo realizadas em mesmo período e local, caracterizando uma série temporal multivariada. - Os arquivos das séries individuais foram removidos. --- R/Atmosfera.R | 37 ++++ R/Temperatura.R | 27 --- R/Umidade.R | 27 --- data-raw/Atmosfera.txt | 366 +++++++++++++++++++++++++++++++++++++++ data-raw/Temperatura.txt | 366 --------------------------------------- data-raw/Umidade.txt | 366 --------------------------------------- data/Atmosfera.rda | Bin 0 -> 2000 bytes data/Temperatura.rda | Bin 686 -> 0 bytes data/Umidade.rda | Bin 1360 -> 0 bytes 9 files changed, 403 insertions(+), 786 deletions(-) create mode 100644 R/Atmosfera.R delete mode 100644 R/Temperatura.R delete mode 100644 R/Umidade.R create mode 100644 data-raw/Atmosfera.txt delete mode 100644 data-raw/Temperatura.txt delete mode 100644 data-raw/Umidade.txt create mode 100644 data/Atmosfera.rda delete mode 100644 data/Temperatura.rda delete mode 100644 data/Umidade.rda diff --git a/R/Atmosfera.R b/R/Atmosfera.R new file mode 100644 index 00000000..d3fa1abc --- /dev/null +++ b/R/Atmosfera.R @@ -0,0 +1,37 @@ +#' @name Atmosfera +#' @title Temperatura e Umidade do Ar na Cidade de São Paulo +#' @description Dados atmosféricos sobre temperatura +#' (\code{Temperatura}) e umidade relativa do ar (\code{Umidade}), +#' mensuradas ao meio-dia, na cidade de São Paulo. Observações +#' diárias referentes a 1º de Janeiro a 31 de Dezembro de 1997. +#' @format Uma série temporal bivariada (classe \code{mts}), com 365 +#' observações diárias de 1º de Janeiro a 31 de Dezembro de 1997, +#' das seguintes medidas: +#' +#' \describe{ +#' +#' \item{\code{Temperatura}}{Temperaturas, mensuradas ao meio-dia em +#' [VER UNIDADE DE MEDIDA].} +#' +#' \item{\code{Umidade}}{Umidades relativa do ar, mensuradas ao meio-dia +#' em [VER UNIDADE DE MEDIDA].} +#' +#' } +#' @keywords TS MTS +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série +#' A7 - Atmosfera, mencionada em diversas páginas) +#' @examples +#' +#' data(Atmosfera) +#' str(Atmosfera) +#' Atmosfera +#' +#' # Estatísticas resumo das séries +#' apply(Atmosfera, 2, summary) +#' +#' # Visualização da série +#' library(lattice) +#' xyplot(Atmosfera, type = c("o", "g"), pch = 19, col = "turquoise") +#' +NULL diff --git a/R/Temperatura.R b/R/Temperatura.R deleted file mode 100644 index 8366afac..00000000 --- a/R/Temperatura.R +++ /dev/null @@ -1,27 +0,0 @@ -#' @name Temperatura -#' @title Temperaturas ao Meio Dia, em São Paulo -#' @description Dados sobre temperaturas ao meio dia, na cidade de -#' São Paulo. Observações diárias, referentes a 1º de Janeiro -#' a 31 de Dezembro de 1997. -#' -#' @format Uma série temporal (classe \code{ts}), com 365 observações -#' diárias, de 1º de janeiro a 31 de dezembro de 1997. -#' @keywords TS -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A7 - Atmosfera, mencionada em diversas -#' páginas) -#' @examples -#' -#' data(Temperatura) -#' str(Temperatura) -#' Temperatura -#' -#' # Média -#' mean(Temperatura) -#' -#' # Visualização da série -#' library(lattice) -#' xyplot(Temperatura, type = c("o", "g"), pch = 19, col = "turquoise") -#' -NULL diff --git a/R/Umidade.R b/R/Umidade.R deleted file mode 100644 index edd1b140..00000000 --- a/R/Umidade.R +++ /dev/null @@ -1,27 +0,0 @@ -#' @name Umidade -#' @title Umidade Relativa do Ar ao Meio Dia, em São Paulo -#' @description Dados sobre a umidade relativa do ar ao meio dia, na -#' cidade de São Paulo. Observações diárias, referentes a 1º de -#' Janeiro a 31 de Dezembro de 1997. -#' -#' @format Uma série temporal (classe \code{ts}), com 365 observações -#' diárias, de 1º de janeiro a 31 de dezembro de 1997. -#' @keywords TS -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A7 - Atmosfera, mencionada em diversas -#' páginas) -#' @examples -#' -#' data(Temperatura) -#' str(Temperatura) -#' Temperatura -#' -#' # Média -#' mean(Temperatura) -#' -#' # Visualização da série -#' library(lattice) -#' xyplot(Temperatura, type = c("o", "g"), pch = 19, col = "tan3") -#' -NULL diff --git a/data-raw/Atmosfera.txt b/data-raw/Atmosfera.txt new file mode 100644 index 00000000..d7c41a27 --- /dev/null +++ b/data-raw/Atmosfera.txt @@ -0,0 +1,366 @@ +Temperatura Umidade +18.4 78.58 +17.4 77.63 +17.1 78.56 +16.6 85.52 +15.8 83.36 +18.5 83.6 +17.3 79.85 +18.7 80.14 +19.6 80.9 +19.1 87.69 +18.9 86.85 +19.6 86 +19.5 83.76 +19.7 89.09 +20.8 88.92 +19.5 93.4 +18.5 84.54 +18.6 78.9 +17.8 77.38 +19.5 82.29 +19.4 87.36 +19.7 83.46 +19.4 86.51 +18.9 85.95 +18.9 86.38 +19 92.48 +18.6 94.45 +18.8 87.75 +19.6 81.21 +19.5 77.47 +19.5 76.79 +20 71.88 +19.4 80.4 +18.9 80.98 +18.2 78.05 +19 74.75 +17.3 79.38 +18.7 80.65 +18.1 77.52 +18.5 79.02 +17.1 81.86 +17.4 79.74 +18 85.22 +17 81.98 +18.1 78.24 +19 86.21 +18.6 89.86 +17.2 82.98 +19.2 83.43 +18.3 71.75 +21.1 70.63 +19.1 87.81 +20.1 81.47 +19 85.07 +19.3 86.91 +19 83.89 +17.3 79.88 +18.4 80.9 +17.3 85.37 +17.1 80.27 +15.4 80.61 +17.4 85.91 +16.1 84.09 +18.2 85.37 +18.2 83.63 +18.9 79.66 +18 81.97 +19.3 82.3 +17.8 80.65 +18.8 80.66 +18.3 71.64 +18.4 77.24 +18.4 83.28 +18.3 89.95 +17.5 88.57 +16.8 82.27 +15.6 83.4 +16 78.75 +17.3 81.99 +16.9 80.96 +14 80.24 +14.4 83.51 +15.6 81.12 +16.9 79.88 +17.2 80.21 +16.1 76.59 +13.6 77.97 +14.6 74.61 +13 81.62 +16.3 86.79 +17.6 86.16 +18 79.6 +18.1 74.37 +17.6 70.21 +14.8 83.69 +14.9 83.39 +14.4 84.05 +14.2 84.47 +15 81.89 +11.8 79.26 +12.2 79.87 +14.3 78.17 +13.2 74.79 +14.4 75.47 +13.3 79.23 +14.4 82.87 +17.6 84.63 +17 81.83 +16 75.35 +16.2 84.37 +16.3 89.58 +16.4 83.62 +15.2 84.07 +15.7 81.49 +14.3 71.58 +14.6 82.96 +13.3 85.66 +15.8 64.43 +11.8 63.88 +14.3 75.06 +14.4 74.41 +14.4 71.72 +14.4 78.2 +16.8 85.5 +15.4 82.1 +13.8 83.85 +11.2 82.51 +14.6 81.12 +13.3 84.9 +14.8 82.27 +14 82.7 +13.7 79.16 +12.6 83.28 +13 83.53 +12.6 78.72 +12.3 82.12 +13.1 82.21 +13 80.18 +13.5 77.14 +12.8 72.47 +13.3 66.43 +15 76.07 +11.8 84.41 +13.8 91.48 +11.2 93.66 +10.6 88.38 +11.4 82.93 +12.3 92.75 +11 83.53 +10.6 93.76 +10.8 89.74 +8.6 87.93 +6.5 85.07 +8.2 88.29 +12.4 89.33 +14.4 94.8 +14.1 83.59 +11.5 67.23 +5.6 60.36 +7.2 75.11 +9.5 83.02 +7.9 71.93 +14.5 79.89 +11.6 78.99 +14.4 88.19 +14.5 89.59 +12 68.11 +10.9 73.99 +10.2 86.45 +13.2 77.2 +12.4 95.31 +13.1 79.76 +14.6 74.54 +13.8 70.38 +14.7 69.92 +12.7 72 +14.7 64.8 +13.3 80.02 +12.6 94.88 +13.5 95.11 +12.1 95.5 +11.8 95.48 +13 77.92 +15.4 66.34 +14.6 71.08 +12 86.3 +13.2 78.48 +14.9 83.21 +14.8 80.78 +13.2 77.51 +12.2 74.37 +11.5 75.01 +12.8 88.97 +13.9 75.05 +12 71.21 +10.4 73.24 +11.8 72.28 +13.4 86.92 +12.6 91.51 +14.8 72.66 +12.6 80.08 +12.8 90.29 +11.8 79.24 +12.8 81.73 +13 85.51 +12.5 82 +10.2 81.25 +11.6 79.79 +8.6 75.05 +9.3 70.84 +10 66.34 +13.2 58.46 +11.5 64.16 +11.6 70.7 +13.4 61.7 +15.1 76.67 +11.9 94.87 +12.8 86.6 +14.2 73.86 +10.4 93.46 +9.4 88.26 +6.6 83.4 +8.3 80.34 +7.8 74.79 +9.6 82.8 +11 78.83 +10.6 69.1 +11.6 60.38 +11 62.11 +11.4 63.67 +12.6 57.02 +12.4 61.18 +9.5 88.23 +14.8 85.77 +15.5 92.28 +14.3 89.11 +11.8 80.56 +11.2 81.11 +12.4 78.78 +10.4 69.36 +11 74.83 +11.6 82.31 +12.2 71.9 +10.6 62.99 +11.3 57.89 +12.2 56.47 +14.4 61.58 +16.8 82.25 +13.9 82.67 +14.5 80.51 +13.4 64.19 +15.9 53.34 +14 91.15 +12.3 90.51 +10.8 84.46 +14.2 70.23 +18.2 79.39 +13.6 95.48 +12.8 83.16 +13.2 77.52 +11.8 85.64 +13.5 83.17 +15 95.33 +15 87.29 +13.6 92.23 +13.2 87.41 +14.8 73.61 +14.5 88.55 +14.3 95.04 +14 90.89 +15.5 81.73 +13.9 92.22 +17 89.41 +17.9 93.84 +14 74.43 +12.4 87.17 +12.5 78.8 +15.6 68.98 +14.8 92.97 +14.5 91.49 +15.1 92.36 +15.6 83.86 +16.4 73.6 +18 78.7 +16.1 79.08 +17.1 76.94 +18.3 83.98 +18.1 77.31 +15.1 91.12 +13.4 91.59 +13 85.02 +13.4 85.31 +15.4 94.03 +15.8 95.79 +15.2 88.52 +15.7 87.88 +16.3 75.99 +16.9 85.64 +15.9 88.25 +15.9 82.37 +16.9 74.24 +18.9 72.74 +19 89.33 +18.8 85.8 +18.2 81.63 +18.2 75.91 +19.6 80.58 +18 89.97 +18.9 90.18 +19 81.97 +19.7 86.81 +18.7 83.98 +16.9 72.96 +18.1 81.23 +20.1 70.34 +20.2 73.6 +20.8 79.52 +16.3 90.09 +16.1 93.37 +17.2 93.43 +19 92.83 +16.2 94.42 +16.1 93.81 +15.8 89.25 +18 79.98 +19 84.09 +19.8 87.86 +18.7 85.8 +18.6 87.73 +18.4 85.59 +20.1 85.59 +15.1 90.74 +13.5 83.5 +16.1 83.44 +17.7 87.22 +18 88.49 +16.6 77.86 +17.4 91.9 +16.2 76.72 +16.6 78.89 +18.8 83.08 +18.5 86.93 +16.2 80.81 +15.4 77.76 +16 83.11 +18.2 86.19 +19.7 87.2 +19.4 79.73 +20 80.95 +16.2 84.79 +16.2 83.72 +16.5 90.38 +17.9 77 +18.6 71.04 +20.1 77.29 +19.1 69.47 +21.1 64.53 +21.1 82.92 +20.8 83.12 +20.7 77.15 +21.2 69.42 +20.3 78.35 +19.2 75.47 +21.6 71.41 +19.8 79.94 diff --git a/data-raw/Temperatura.txt b/data-raw/Temperatura.txt deleted file mode 100644 index b34dbe79..00000000 --- a/data-raw/Temperatura.txt +++ /dev/null @@ -1,366 +0,0 @@ -x -18.4 -17.4 -17.1 -16.6 -15.8 -18.5 -17.3 -18.7 -19.6 -19.1 -18.9 -19.6 -19.5 -19.7 -20.8 -19.5 -18.5 -18.6 -17.8 -19.5 -19.4 -19.7 -19.4 -18.9 -18.9 -19 -18.6 -18.8 -19.6 -19.5 -19.5 -20 -19.4 -18.9 -18.2 -19 -17.3 -18.7 -18.1 -18.5 -17.1 -17.4 -18 -17 -18.1 -19 -18.6 -17.2 -19.2 -18.3 -21.1 -19.1 -20.1 -19 -19.3 -19 -17.3 -18.4 -17.3 -17.1 -15.4 -17.4 -16.1 -18.2 -18.2 -18.9 -18 -19.3 -17.8 -18.8 -18.3 -18.4 -18.4 -18.3 -17.5 -16.8 -15.6 -16 -17.3 -16.9 -14 -14.4 -15.6 -16.9 -17.2 -16.1 -13.6 -14.6 -13 -16.3 -17.6 -18 -18.1 -17.6 -14.8 -14.9 -14.4 -14.2 -15 -11.8 -12.2 -14.3 -13.2 -14.4 -13.3 -14.4 -17.6 -17 -16 -16.2 -16.3 -16.4 -15.2 -15.7 -14.3 -14.6 -13.3 -15.8 -11.8 -14.3 -14.4 -14.4 -14.4 -16.8 -15.4 -13.8 -11.2 -14.6 -13.3 -14.8 -14 -13.7 -12.6 -13 -12.6 -12.3 -13.1 -13 -13.5 -12.8 -13.3 -15 -11.8 -13.8 -11.2 -10.6 -11.4 -12.3 -11 -10.6 -10.8 -8.6 -6.5 -8.2 -12.4 -14.4 -14.1 -11.5 -5.6 -7.2 -9.5 -7.9 -14.5 -11.6 -14.4 -14.5 -12 -10.9 -10.2 -13.2 -12.4 -13.1 -14.6 -13.8 -14.7 -12.7 -14.7 -13.3 -12.6 -13.5 -12.1 -11.8 -13 -15.4 -14.6 -12 -13.2 -14.9 -14.8 -13.2 -12.2 -11.5 -12.8 -13.9 -12 -10.4 -11.8 -13.4 -12.6 -14.8 -12.6 -12.8 -11.8 -12.8 -13 -12.5 -10.2 -11.6 -8.6 -9.3 -10 -13.2 -11.5 -11.6 -13.4 -15.1 -11.9 -12.8 -14.2 -10.4 -9.4 -6.6 -8.3 -7.8 -9.6 -11 -10.6 -11.6 -11 -11.4 -12.6 -12.4 -9.5 -14.8 -15.5 -14.3 -11.8 -11.2 -12.4 -10.4 -11 -11.6 -12.2 -10.6 -11.3 -12.2 -14.4 -16.8 -13.9 -14.5 -13.4 -15.9 -14 -12.3 -10.8 -14.2 -18.2 -13.6 -12.8 -13.2 -11.8 -13.5 -15 -15 -13.6 -13.2 -14.8 -14.5 -14.3 -14 -15.5 -13.9 -17 -17.9 -14 -12.4 -12.5 -15.6 -14.8 -14.5 -15.1 -15.6 -16.4 -18 -16.1 -17.1 -18.3 -18.1 -15.1 -13.4 -13 -13.4 -15.4 -15.8 -15.2 -15.7 -16.3 -16.9 -15.9 -15.9 -16.9 -18.9 -19 -18.8 -18.2 -18.2 -19.6 -18 -18.9 -19 -19.7 -18.7 -16.9 -18.1 -20.1 -20.2 -20.8 -16.3 -16.1 -17.2 -19 -16.2 -16.1 -15.8 -18 -19 -19.8 -18.7 -18.6 -18.4 -20.1 -15.1 -13.5 -16.1 -17.7 -18 -16.6 -17.4 -16.2 -16.6 -18.8 -18.5 -16.2 -15.4 -16 -18.2 -19.7 -19.4 -20 -16.2 -16.2 -16.5 -17.9 -18.6 -20.1 -19.1 -21.1 -21.1 -20.8 -20.7 -21.2 -20.3 -19.2 -21.6 -19.8 diff --git a/data-raw/Umidade.txt b/data-raw/Umidade.txt deleted file mode 100644 index 820b43c6..00000000 --- a/data-raw/Umidade.txt +++ /dev/null @@ -1,366 +0,0 @@ -x -78.58 -77.63 -78.56 -85.52 -83.36 -83.6 -79.85 -80.14 -80.9 -87.69 -86.85 -86 -83.76 -89.09 -88.92 -93.4 -84.54 -78.9 -77.38 -82.29 -87.36 -83.46 -86.51 -85.95 -86.38 -92.48 -94.45 -87.75 -81.21 -77.47 -76.79 -71.88 -80.4 -80.98 -78.05 -74.75 -79.38 -80.65 -77.52 -79.02 -81.86 -79.74 -85.22 -81.98 -78.24 -86.21 -89.86 -82.98 -83.43 -71.75 -70.63 -87.81 -81.47 -85.07 -86.91 -83.89 -79.88 -80.9 -85.37 -80.27 -80.61 -85.91 -84.09 -85.37 -83.63 -79.66 -81.97 -82.3 -80.65 -80.66 -71.64 -77.24 -83.28 -89.95 -88.57 -82.27 -83.4 -78.75 -81.99 -80.96 -80.24 -83.51 -81.12 -79.88 -80.21 -76.59 -77.97 -74.61 -81.62 -86.79 -86.16 -79.6 -74.37 -70.21 -83.69 -83.39 -84.05 -84.47 -81.89 -79.26 -79.87 -78.17 -74.79 -75.47 -79.23 -82.87 -84.63 -81.83 -75.35 -84.37 -89.58 -83.62 -84.07 -81.49 -71.58 -82.96 -85.66 -64.43 -63.88 -75.06 -74.41 -71.72 -78.2 -85.5 -82.1 -83.85 -82.51 -81.12 -84.9 -82.27 -82.7 -79.16 -83.28 -83.53 -78.72 -82.12 -82.21 -80.18 -77.14 -72.47 -66.43 -76.07 -84.41 -91.48 -93.66 -88.38 -82.93 -92.75 -83.53 -93.76 -89.74 -87.93 -85.07 -88.29 -89.33 -94.8 -83.59 -67.23 -60.36 -75.11 -83.02 -71.93 -79.89 -78.99 -88.19 -89.59 -68.11 -73.99 -86.45 -77.2 -95.31 -79.76 -74.54 -70.38 -69.92 -72 -64.8 -80.02 -94.88 -95.11 -95.5 -95.48 -77.92 -66.34 -71.08 -86.3 -78.48 -83.21 -80.78 -77.51 -74.37 -75.01 -88.97 -75.05 -71.21 -73.24 -72.28 -86.92 -91.51 -72.66 -80.08 -90.29 -79.24 -81.73 -85.51 -82 -81.25 -79.79 -75.05 -70.84 -66.34 -58.46 -64.16 -70.7 -61.7 -76.67 -94.87 -86.6 -73.86 -93.46 -88.26 -83.4 -80.34 -74.79 -82.8 -78.83 -69.1 -60.38 -62.11 -63.67 -57.02 -61.18 -88.23 -85.77 -92.28 -89.11 -80.56 -81.11 -78.78 -69.36 -74.83 -82.31 -71.9 -62.99 -57.89 -56.47 -61.58 -82.25 -82.67 -80.51 -64.19 -53.34 -91.15 -90.51 -84.46 -70.23 -79.39 -95.48 -83.16 -77.52 -85.64 -83.17 -95.33 -87.29 -92.23 -87.41 -73.61 -88.55 -95.04 -90.89 -81.73 -92.22 -89.41 -93.84 -74.43 -87.17 -78.8 -68.98 -92.97 -91.49 -92.36 -83.86 -73.6 -78.7 -79.08 -76.94 -83.98 -77.31 -91.12 -91.59 -85.02 -85.31 -94.03 -95.79 -88.52 -87.88 -75.99 -85.64 -88.25 -82.37 -74.24 -72.74 -89.33 -85.8 -81.63 -75.91 -80.58 -89.97 -90.18 -81.97 -86.81 -83.98 -72.96 -81.23 -70.34 -73.6 -79.52 -90.09 -93.37 -93.43 -92.83 -94.42 -93.81 -89.25 -79.98 -84.09 -87.86 -85.8 -87.73 -85.59 -85.59 -90.74 -83.5 -83.44 -87.22 -88.49 -77.86 -91.9 -76.72 -78.89 -83.08 -86.93 -80.81 -77.76 -83.11 -86.19 -87.2 -79.73 -80.95 -84.79 -83.72 -90.38 -77 -71.04 -77.29 -69.47 -64.53 -82.92 -83.12 -77.15 -69.42 -78.35 -75.47 -71.41 -79.94 diff --git a/data/Atmosfera.rda b/data/Atmosfera.rda new file mode 100644 index 0000000000000000000000000000000000000000..25a3cdf4afb86e075eae664985efd1ce6947f191 GIT binary patch literal 2000 zcmZ>Y%CIzaj8qGb>`vtFW?<9$4+a0Wr+@$d|NZy>cYn|S{rCRe-@kut|NZ~*-QWKo zu(O|M6U$~iQ1*s3<8%}+i&Dz$;Naj&_mzen7ZN64`D$ycrg4GI-}4FQE1P9)J&v!^ zX3b(?oM6J%ka6)P`-;q0xemPiY9;|+O->kP+*Iqo%C)L~GH1)li7OQtZ~!I-#sv%+ z7Z{k`e5DL|85kHRNJ%&@$dF`U0Esd%@bWS+Fr;KKNL6~Z`Z83_n*cILZUF<c1A`QZ ziG<mjh%`&cQ>}AFTHpc`W?v(d45$fg4Ge4zP&R+y1O^870vC%tPoFK&7LV0FdVGCR zWLW6))!EsOGjeWyD9%1w;dZvR&wSn`HkC5B<k`Hf-D_54%+GLR*IYGe;+A8p-<_Rs zR*>mpNX+GDQ4?5p&o%foHPLbAzo(qfQePx6pJ`+<Gt`mDNq(=$mDtiy%q4yCjg@fw zeWoRflWsKhooIPFNvp8L=Z(igiG=|U5l0*n1Uq!NyxbHery7QahG|V&t+%o?qR=4I z!;zD5;e-&zh$V^=hg!qj7&!zvRxxmMu{4WyOj)o&p^>3QV#CsIh6SNL0Uh$@XSTlK zVBktD{h-x+eMYd7G>;SO;u9Nhme#(!r_T8C(*DKiOSe^MALwZH2{DXWH81R$x9^Gz znIT70Unm%FFS|eQadOH%Bh%Xv=l9e|2$}G)xQZ>(ijrk*+089#%(g<%gzem(tAS33 zdDv%|oSr|0LCE}f|GuvkljAdvy?MK2o24Kpn~PJF$Yee<=}Bi;RaMqTO!d_AVVOEH z$Y<Nn<8_I*Yby+0SQI3Loh3Y1^f~z5RGG4QPDAAcPa{^w2L9J9VqSYrh-maVg%mPL z8YsAjDhpKYyEWf!&ZX$wHT_!`CkvFa7slt^F4}HgrrEZ2<r%}?;&s~bUe_nj$jE$_ zruypBCr_n`r;5CM+k+H@LnT*Qh(A%Ac5Sc2<6ryiejc3m*Wi5lt}_<%HXBXyI(Du& z_qF-G=Vy|q2rd**Rd8Llib2I?#X+rxz@(rRO&hpeI2|3dmW3T;dZ8@1utnhr#~Ox4 zF@pdHhc2hnjgCT#0=$)Vx^5<x2~OO-k%KwG<nDslZK3xTrF^hpO5DV<%eyy5=-2~Y zvCzwUW)T-6dRnKKx$|4DJ^Mf8LCaPr`GW4y>I(DTE)^!G9B-G{yLn3&w<$C-`pYEr z?6vPnU3o&)wI*shGb>k@8n3hAv|u(5w+m+K4967tzRNCmSyU9OI7ieV$aLf0>?y~r zW4<sXONvZ)<%&wMGqHK%(DJ3_Y~w0pcg{qIODDaKF+Asyl2~APVWrqcNk@^Cs6NlO z*-Bx1j`r}xv^8jFr8OnF6g37gv1|(yU<ui%C%EEV#1fqYXYEoZ&1myxX5@N!;(>0F zLy}6s2A+wV4n1t}jGiuX+{(c8UGKZdpiW2SD;e>ci`pX2D4bZL`Egp(Z6i_B7mOms zb8@5>buK&cY4N8skpYLp4Y!8pI(oZ%Oya1E_T80#<-6yFU6WiG9TXye_C|d<!PB0d zqdc)<qt7&J&qy2IIP0L*7v9$&{kyJ?b=~vz?~Z$^aFt9rDY;!$;SfW{I#1<@lL|^a zF6>1qE(}YI6r@Z#T(oL4&eT3xbMNl5uHPMJe6P8Dzqjw<>-ud?3PDPf=Lk)Be@O9u z{QaMKx8koy{1)77B0b+s%tgY*f$zvcK?X~P?%J*y>S=c8?76<L+BJL6jb$I1=KXs0 zcG;WX6W>O4+{#^Xx&8bS9=8>j8>*5Pi~L;Z?q$Lq{N<JA`z)FLVfR+qGzLs%uPv<H zcHpML<*!c)#PxL#G%$7f&nOAeXl(YHH2=D)*tw|FmG5R2U9sHRGjX#*^sUWX_&>j8 zXtZLp6FSRc`IfV*mP>-SSABQ83WJ?bPj=>?n2>bA8G#)Pkr6E+TpgRP{CLnX<xa}O zQ%?)y4nEZOm2P;`tkC4>lF^ghv9au9e1^cnQh}CcpT_#db#uRNw=w>>T;fmG_sZUY zYkB9c$$Fd4x|_A-zMD;ta;S&Ix?Kekk}*eGg?7$-VjgicjqUZ064`T0*1JqqWN2Vf zbZKGgGG=p2W90gk7P!`IN^pAA+eW66zId)OgClXq@<#$EeP(0`aPJQl=at&r$S}jT zx$R{9&QF^nDt4UTxx|5UqC1;Laphr=CF#$1YcikuE3|cU1H*@nI@^`SdG}<VH~;ly z|BmtpLhLIzIyg&QzEvGo_t<&=A<Mt|N578s_E*gO9w~qIVE*Kt6CZReR*+KhSZ@+G zpVzZl>B}RBPB$TzBnEr?GPP&_E=c~K=Kj2RQhMvWrGDqGT)TYya+F5uDv@;U^O9S; zK7|`-pNU**uJdt~&S|GrlQmcr8MqV~n1n<GR5Nz5@hoe#FKnE7u+(>w!;Cxi+uVQm z+qX&|nIO>7D8nAqWEXresKZk<F;MoYfb*XnU)*N@Jtt6eY5j4PrV^LTCv!F}Gq#*_ zQ1C1383y(L=MxIj&#`U3&*I={$RXskY{ir_vo=ddaPZXF=y~3Mz<IgnJ`0DlgQBxV bkCxB5#nE<K=5f9M6MItRp_7wti=GYuvz$=G literal 0 HcmV?d00001 diff --git a/data/Temperatura.rda b/data/Temperatura.rda deleted file mode 100644 index 47ad514e77853a32e08bfd319c2ff1aa79f2cb74..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 686 zcmZ>Y%CIzaj8qGb^f<BM2Ltoe|L^}<I-30d|F6M?MZ`gyEuO)Ffx)1Ifq~6|fsuiM zIe=MxN7*}>#MQheN{YTKm%sFVDlITM*H+Wy*yJl_S9)!hPm!w9nz!Oa2CtM91G57I z1H+V0O9j~)F1|8hU|?WiT=0y6b20;G%Rz%Sh8_l$DObR17#J9M1X=G+`LlZ629LJ6 z4ll2mvbN2<r<S?fdHunUHi?sW$K<`-Rl!;)rgP#%g1fA!s)A~Z0z*WJZc1IPyF~+s zPYc^MJ0sTINes1(4^j&xD;)MQxEt~>Q+J&-r7K1<O400DTG|C;^UaZ)bIgL2HFSG; zy|#*UOyn~Sa9X6P8M11N#U{gu$y2syoa*X0$`|M)!n<u&c~PuOs9|{D?0~m>+isL5 zD4E=S#CEKBUcrk52Kkwa--LuGG^897kaw|FDSLP0mFeuK8lEaCZ(I~v&%Eb2_A5Oq zQlz<4V&&z#m(CpSJs`L9PQ{&|W2rt<wRH}LdCpOsb2M{N(aLEHV`c`6i>{jYZd!Q6 z65k#rL#+_4u0UR$H7h+{Uf8kZQYuqZ7Uy;jA*M`Ag@X(a_~!I*%4qp6e)f0=*9C{A zM(Tk)%^lK<L^W5;QFzg7xWvgrJ@56ps^>Zvo<@gua!*~l`)xZP``7o|4>E8x&u}?h zcY6DGy{|m=)%uOS7bBM(7A+FvJXi3VO^l%;^YOlaK6l#Wgu?c#1=(4KG&V3YFu!V0 zt*&@3_DgE@n`+&y3(~`9#&R1yF6(>IcI=DQlhB1Pg0{GJuU5aC>mbY|z{IIADNx2y z^tec2jJebkwQu_CU$L<rVQ45~U|$~pYn3<8-JIf(sM)(#CVbUO>h?7>D4Us49R1t$ r@SK0L-@_gl+*#4F>XFi_4*S<>VGf3!^^x`6JC){Wc&MaA)Gz=5Cg>hR diff --git a/data/Umidade.rda b/data/Umidade.rda deleted file mode 100644 index a0fe1b5d3a83fe288892916ee42f8facc6bcf07c..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1360 zcmZ>Y%CIzaj8qGbG_jeb%fK|R{{O%K-+ur5_-}jq_y7Oje}8}X_x#^~@8A9X``7m0 z{~zD|{r>_Bzg`DV+E&K4j;3ILpA*ZcTy`+wWp-;{!C=I`B7?1$S#g1h39~~+RRdc? zRpW$82PtO3SGf*03%<%NPUUgo<z--8xPX_Z%|XgYlHuZl6FdSujmsJsPF%Ra%fPsR z*@2gV!GwXW;gIHJ&dI*&9f1rGzzd-eBnz=79aQpYIdDbf@)fBRkm<Y(42%mH7?>Rx z7qB%j@G@jBYxeDYHBVS`u|w4?xn-BCW?xmdskajLn)7<?^F#kO8Ti+7Z&y3O@aFEE zT{1JSygEARfI!57g~kgqy#7v|;b3r!abA*lh!QuC)m#>{2e}iR3z@T|+F8sT&+UA< zB6#xAs}@mWQ!Fmr^;D|mG|*5K(Ciei<;zdWzxXUe&SY-z<TWv>1uo7yhqF|SUUg1& z37q1*V&Xpu8%FPAw{3pu@V?kDIOWC>hr)6p6O{v>&+BOgy<(|zG|F#atb6wQa?p&; zxuOCu48Le?WpR;AxDm){Jj-N{0&Djz`;&8BT*X*iq(rtXJ##U~chY*X+*Tz8n}SyN zKy{1mPbQzvR{KbYbY)hhiBviCUVd^Z)TQk&SH$s<@ZzVY>t{7E8olg%E;2nj{M(ds zbuZ%09<`^ge$R0!J|z5@z;&@1yLaui=45eV>5{W#D%@2sdF;}Ttgdfcb$=XZ>ajSn zNanTSkrx~XQhb@`EOlAyEHIPpM%3diUOjoq=Eb^2b6zB;P2g}6(}>xjn0Y8oEk#sW z=0eAt+AeEO#s!{=eZlS$icIy^!q1&To~}s`Xt!7$#BEbPSy|O`IZJloeW9B?Kl&mj zBm_VBqch2<F;vC7q02hVTq@E3wDA&4f1ae8WtlP;qVD`W&GDc|xmcxf3FDz{>ojNG zJa97FDs0V#Wez2)Y=ll!ESOYyOkGoJTH&&2wML(*3ZaS|Dk&j>Q(Qt$?VA<3>gw*A zKflkMxm`T-#)jVfmG_R#^7oX})p^^sq>;Nw!*|kVE~%|1nvpH4E4~#g87)cKt1kH@ z>s4+i)2a!VtUJ6;3otKYX<5^&@OG95@5&{@l0Q7|)LKmrS=N2sKcsVpU`XrHiD?%r z1g+$^Itr+ry*Y#LLR$LmW>>Z!OE$#hHz;WBohG`xTQ1_i=B5G}Q%UF2hZR$st-NNQ zTi3U#(%Jpep|v_2HYhOY#s)U5c)DQ6)?Xj)@_c@|phE6;(a{9vD_sm9Y*K_6WJ?kz ziiTvLWZ*DTJh-_xu2pGebcO<>(H--tUINoKEgm!!tTAzU@qcmf!Rub-!ViLOm?&&o zYwh!aOXK5;xo7?6&Eym}o&P4a%t-Fq{(DJ2YnYT~7EL=@Y$CHGG;0&f*3{bcRRU}M zAG%FFDHI+cz#6u<=I+`Oe;q@XL>=zpwEg8XryCzWy3(tp;Z|<Aq)X&dP2a5G^Er$U zUVYDd@q5Ga>$jKNf8V%rvbRXrmNzO*-@feLog7##Sm0P&+d8$gvr}36+tK;Emwf&B zK7u8{gn4ULr<Lr3&r{Z?PMA39NN?Z489)9%IlpAr1-8zvcYE%*PS!l*TT$};W=61o z?~3F9w@x?G+Y;vC$$7OpM)bX6q=s?IBBdKm%VH$OJ{B8xMN|r3@nj7;y*^H4VMEN# z^sQE_rybXx%F?v%JV#)ZU!Zi!?K$h8U+FO1P@rc!{Z{n0yN(=d6V~$HN?G)8n$h&X Vk<87{{&(+Gnxo+%CFd*F003&0SS|nn -- GitLab From 3fbff3a1a1427ae424f35ba29ecae58c8d49a841 Mon Sep 17 00:00:00 2001 From: Eduardo Junior <edujrrib@gmail.com> Date: Sun, 23 Oct 2016 13:00:53 -0200 Subject: [PATCH 27/30] =?UTF-8?q?Corrige=20s=C3=A9ries=20de=20temperaturas?= =?UTF-8?q?=20em=20Canan=C3=A9ia=20e=20Ubatuba,=20S=C3=A3o=20Paulo?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - As séries foram agrupadas em único arquivo, pois são observações de um mesmo estudo realizadas em mesmo período e local, caracterizando uma série temporal multivariada. - Os arquivos das séries individuais foram removidos. --- R/Cananeia.R | 39 ------------- R/Temperatura.R | 28 +++++++++ R/Ubatuba.R | 34 ----------- data-raw/Cananeia.txt | 121 --------------------------------------- data-raw/Temperatura.txt | 121 +++++++++++++++++++++++++++++++++++++++ data-raw/Ubatuba.txt | 121 --------------------------------------- data/Cananeia.rda | Bin 373 -> 0 bytes data/Temperatura.rda | Bin 0 -> 584 bytes data/Ubatuba.rda | Bin 384 -> 0 bytes 9 files changed, 149 insertions(+), 315 deletions(-) delete mode 100644 R/Cananeia.R create mode 100644 R/Temperatura.R delete mode 100644 R/Ubatuba.R delete mode 100644 data-raw/Cananeia.txt create mode 100644 data-raw/Temperatura.txt delete mode 100644 data-raw/Ubatuba.txt delete mode 100644 data/Cananeia.rda create mode 100644 data/Temperatura.rda delete mode 100644 data/Ubatuba.rda diff --git a/R/Cananeia.R b/R/Cananeia.R deleted file mode 100644 index ce190d76..00000000 --- a/R/Cananeia.R +++ /dev/null @@ -1,39 +0,0 @@ -#' @name Cananeia -#' @title Temperaturas em Cananéia, São Paulo -#' @description Dados sobre temperaturas médias mensais, em graus -#' centígrados, da cidade de Cananéia, em São Paulo. A série é -#' referente ao período de Janeiro de 1976 a Dezembro de 1985. -#' -#' @format Uma série temporal (classe \code{ts}), com 120 observações -#' mensais de Janeiro de 1976 a Dezembro de 1985. -#' @keywords TS -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A1 - Temperatura, mencionada em diversas -#' páginas) -#' @examples -#' -#' data(Cananeia) -#' str(Cananeia) -#' Cananeia -#' -#' # Médias anuais -#' aggregate(Cananeia, FUN = mean) -#' -#' # Médias mensais -#' tapply(Cananeia, cycle(Cananeia), mean) -#' -#' # Visualização da série -#' library(lattice) -#' xyplot(Cananeia, type = c("o", "g"), pch = 19, col = "purple") -#' -#' # Gráfico da decomposição sazonal -#' library(latticeExtra) -#' xyplot(stl(Cananeia, s.window = 12), col = "green") -#' -#' # Visualizando as temperaturas em Cananeia e Ubatuba no mesmo período -#' # help(Ubatuba) -#' series <- ts.union(Cananeia, Ubatuba) -#' xyplot(series, type = c("o", "g"), pch = 20, superpose = TRUE) -#' -NULL diff --git a/R/Temperatura.R b/R/Temperatura.R new file mode 100644 index 00000000..4950084d --- /dev/null +++ b/R/Temperatura.R @@ -0,0 +1,28 @@ +#' @name Temperatura +#' @title Temperaturas em Cananéia e Ubatuba, São Paulo +#' @description Dados sobre temperaturas médias mensais, em graus +#' centígrados, nas cidades de Cananéia e Ubatuba, em São Paulo. A +#' série é referente ao período de Janeiro de 1976 a Dezembro de +#' 1985. +#' @format Uma série temporal bivariada (classe \code{mts}), com 120 +#' observações mensais de Janeiro de 1976 a Dezembro de 1985, das +#' temperaturas em \code{Cananeia} e \code{Ubatuba}. +#' @keywords TS MTS +#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard +#' Blucher. (Série A1 - Temperatura, mencionada em diversas +#' páginas) +#' @examples +#' +#' data(Temperatura) +#' str(Temperatura) +#' Temperatura +#' +#' # Médias anuais +#' aggregate(Temperatura, FUN = mean) +#' +#' # Visualização da série +#' library(lattice) +#' xyplot(Temperatura, type = c("o", "g"), pch = 20, superpose = TRUE) +#' +NULL diff --git a/R/Ubatuba.R b/R/Ubatuba.R deleted file mode 100644 index c0423013..00000000 --- a/R/Ubatuba.R +++ /dev/null @@ -1,34 +0,0 @@ -#' @name Ubatuba -#' @title Temperaturas em Ubatuba, São Paulo -#' @description Dados sobre temperaturas médias mensais, em graus -#' centígrados, da cidade de Ubatuba, em São Paulo. A tabela é -#' referente ao período de Janeiro de 1976 a Dezembro de 1985. -#' -#' @format Uma série temporal (classe \code{ts}), com 120 observações -#' mensais, de janeiro de 1976 a dezembro de 1985. -#' @keywords TS -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A1 - Temperatura, mencionada em diversas -#' páginas) -#' @examples -#' -#' data(Ubatuba) -#' str(Ubatuba) -#' Ubatuba -#' -#' # Médias anuais -#' aggregate(Ubatuba, FUN = mean) -#' -#' # Médias mensais -#' tapply(Ubatuba, cycle(Ubatuba), mean) -#' -#' # Visualização da série -#' library(lattice) -#' xyplot(Ubatuba, type = c("o", "g"), pch = 19, col = "purple") -#' -#' # Gráfico da decomposição sazonal -#' library(latticeExtra) -#' xyplot(stl(Ubatuba, s.window = 12), col = "green") -#' -NULL diff --git a/data-raw/Cananeia.txt b/data-raw/Cananeia.txt deleted file mode 100644 index e527c582..00000000 --- a/data-raw/Cananeia.txt +++ /dev/null @@ -1,121 +0,0 @@ -x -25.2 -24.3 -24.3 -21.4 -19.8 -17 -17.2 -17.6 -20.2 -21.6 -22.5 -24 -25.3 -26.4 -24.9 -21.8 -21 -19.3 -20.8 -19.6 -20.2 -21.6 -22.5 -24 -24.8 -25.2 -24.3 -21.6 -19.2 -17.4 -18.9 -17.5 -19.7 -21.6 -22.9 -23.9 -22.9 -24.5 -23.2 -21.8 -19.3 -16.6 -16.5 -18.8 -18.1 -22 -21.7 -24.1 -24.4 -25 -26.4 -23.6 -21.7 -18.2 -17.6 -17.8 -17.3 -20.2 -22.2 -24.6 -25 -26.2 -24.3 -22.3 -21.9 -18.2 -17.1 -18 -19.5 -19.4 -23.2 -23.6 -23.8 -25 -23.9 -21.6 -19.9 -20.3 -18.8 -18.7 -19.7 -20.6 -22.4 -23.8 -25.9 -25.9 -24.1 -22.6 -20.9 -16.9 -17.2 -17.9 -17.1 -20.4 -23.5 -24.5 -26.2 -26.6 -24.7 -22.2 -21.8 -19.5 -18.3 -16.2 -18.3 -21.4 -22.3 -23 -24 -25.5 -25.3 -23.8 -20.1 -18 -18 -19.1 -19.2 -21.6 -22.6 -24 diff --git a/data-raw/Temperatura.txt b/data-raw/Temperatura.txt new file mode 100644 index 00000000..8aad0a96 --- /dev/null +++ b/data-raw/Temperatura.txt @@ -0,0 +1,121 @@ +Cananeia Ubatuba +25.2 27.1 +24.3 25.3 +24.3 25.8 +21.4 23.7 +19.8 21.6 +17 20 +17.2 19.3 +17.6 20.2 +20.2 20.2 +21.6 21.3 +22.5 23.7 +24 25.5 +25.3 26.4 +26.4 27.4 +24.9 26.3 +21.8 23.8 +21 22.3 +19.3 20.8 +20.8 22.6 +19.6 21.6 +20.2 21.6 +21.6 22.5 +22.5 23.3 +24 24.1 +24.8 25.9 +25.2 25.8 +24.3 25.5 +21.6 22.9 +19.2 21.5 +17.4 19.8 +18.9 21.4 +17.5 20.8 +19.7 21.8 +21.6 22.3 +22.9 23.7 +23.9 24.7 +22.9 24 +24.5 25.3 +23.2 24.2 +21.8 23.2 +19.3 22.3 +16.6 19.6 +16.5 19.2 +18.8 21.7 +18.1 20.5 +22 22.5 +21.7 22.5 +24.1 24.5 +24.4 26.1 +25 26.6 +26.4 27.7 +23.6 24.4 +21.7 23 +18.2 20.5 +17.6 20.1 +17.8 20.3 +17.3 19.7 +20.2 21.5 +22.2 22.6 +24.6 25.6 +25 25.9 +26.2 27 +24.3 24.7 +22.3 22.9 +21.9 22.3 +18.2 19.9 +17.1 19 +18 20.2 +19.5 21.4 +19.4 20.7 +23.2 23.4 +23.6 23.8 +23.8 24.3 +25 25.9 +23.9 23.7 +21.6 22.1 +19.9 20.1 +20.3 20.3 +18.8 20.3 +18.7 20.8 +19.7 20.8 +20.6 21.5 +22.4 24.3 +23.8 23.8 +25.9 26.4 +25.9 26.6 +24.1 23.5 +22.6 18.9 +20.9 18 +16.9 15.3 +17.2 14.7 +17.9 14.4 +17.1 16.2 +20.4 19.9 +23.5 22.6 +24.5 23.3 +26.2 25.6 +26.6 25.6 +24.7 23.3 +22.2 19.1 +21.8 19.4 +19.5 20.1 +18.3 19 +16.2 19 +18.3 18.3 +21.4 22 +22.3 22.5 +23 23.1 +24 23.8 +25.5 26.2 +25.3 25.1 +23.8 24.5 +20.1 21.6 +18 19.8 +18 19.8 +19.1 20.1 +19.2 20.2 +21.6 22.2 +22.6 22.9 +24 23.9 diff --git a/data-raw/Ubatuba.txt b/data-raw/Ubatuba.txt deleted file mode 100644 index 9c142a68..00000000 --- a/data-raw/Ubatuba.txt +++ /dev/null @@ -1,121 +0,0 @@ -x -27.1 -25.3 -25.8 -23.7 -21.6 -20 -19.3 -20.2 -20.2 -21.3 -23.7 -25.5 -26.4 -27.4 -26.3 -23.8 -22.3 -20.8 -22.6 -21.6 -21.6 -22.5 -23.3 -24.1 -25.9 -25.8 -25.5 -22.9 -21.5 -19.8 -21.4 -20.8 -21.8 -22.3 -23.7 -24.7 -24 -25.3 -24.2 -23.2 -22.3 -19.6 -19.2 -21.7 -20.5 -22.5 -22.5 -24.5 -26.1 -26.6 -27.7 -24.4 -23 -20.5 -20.1 -20.3 -19.7 -21.5 -22.6 -25.6 -25.9 -27 -24.7 -22.9 -22.3 -19.9 -19 -20.2 -21.4 -20.7 -23.4 -23.8 -24.3 -25.9 -23.7 -22.1 -20.1 -20.3 -20.3 -20.8 -20.8 -21.5 -24.3 -23.8 -26.4 -26.6 -23.5 -18.9 -18 -15.3 -14.7 -14.4 -16.2 -19.9 -22.6 -23.3 -25.6 -25.6 -23.3 -19.1 -19.4 -20.1 -19 -19 -18.3 -22 -22.5 -23.1 -23.8 -26.2 -25.1 -24.5 -21.6 -19.8 -19.8 -20.1 -20.2 -22.2 -22.9 -23.9 diff --git a/data/Cananeia.rda b/data/Cananeia.rda deleted file mode 100644 index d05f0e012e24eadf91cbad956638e3102b95fa18..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 373 zcmZ>Y%CIzaj8qGb3_Z<i%)l7-|L?z#4hjqo^&fm#1RS(geH<JZ7z`UEI2ah%92poG z4H$EbO;k-)ZQZx@`tA)Da9?3kHPdEs7VpYey#7K97#MgN7#Ns*y?kaV`!YK_Fe{j_ zFG(<*{8}g4{N23^Vy887b&h7Xtvm8b!1n#rbd59D71dfMYimdpF`IdQZ&Yndu}!=k zm^C#ja9OKfLzJ-0hOJ4r0~gJ7*b-o(=;u=sp|ZvKWBamMJ3qYKyM4wLfxV3xf(~jd zTXtNnym~$K`r4zBDJllHo0nen4i^^iG<b4J!(g(<g4qgNf)vygohP-;*74kQz?WTV zLY{9+N2dOSgP9^rC;f?AReI>$QZIkj$FI+SmYZwX&e&j_xV2cbI@T^SE}>pv+dZqi zs4W4p_th8-QqG#Ex+F?m)o}7!{vbeGBx1p`&G!<!)$5Xen+ZAG^6a)fx~%5QnMDDd eOhSxC=hvn8r1!jh?d|wa?@3p|LWR}SxY7U-cbGo_ diff --git a/data/Temperatura.rda b/data/Temperatura.rda new file mode 100644 index 0000000000000000000000000000000000000000..169f9d25e767746987ffc4627b56300556b614a6 GIT binary patch literal 584 zcmZ>Y%CIzaj8qGbj5+<|6$8_P|9}7g_E2DOum9o0BIaPP9_Qe|z+l)Q!NI`5=E&f{ z=)lyM(k#8Yt=Gx(6<hC=s(D753)oj=zRIYYWn$|ee1&bES5V_#4+gdd1_lNO#+AQT zneaH6fY`hY3?4xmUrsbIWLyCA9a#R%D_x+gud{05u}b5H0~<~?moj+Xf9oRC(KMN3 zOIFjHcmF;bM7&#dz_Y~Q+SH32AsHeW$CsX&dfjQGgp0{u7J2yuR^~%DI&>oz_j)o$ z2qd@`7P`827#?_-mX>#B=HZiR8FwU@QUsDEg_Tw$xEZ9VaNL=Auj0*01FjqUBJ}Q7 zY@Bs;(;GuqpB#&M$28BLYfMNAXL6R{lur=v_G|iOc0cL8^>3-PFOyZy-#7kJuT*lX z`E1UGm8+*|ER8Nm&Q;>wlCgAcpJ``~9;<+Ai_vM*?4nm0sRuiA3$<p3u1R$$y5!cJ zsTf&wB${W%q-*wXW2JN#H1)2Q*tDkH*nM4Q`S(pzQ+l+{T+~$QR++eQ!=!NAZQo+s zc7OODV`8O~f8|&5e!ufs3NHRnT;xM9M=fRB;k4*A$8kY3{rwk?9@Ta|`tEP0#)H>J z1}2$((W%D1=3HmaZMy2F=e9-nM1#UFfx6h-*RzT)O}i_Y8#VQ0-72f%HB)ZqnwhjT zD)=yR2(VrGZESLHl2eIn;ITDZ<|lB<FJON=bJ{eqtI1O)ELDr;UK0LkHk;uF7DEOG nCPs!yLJ|sp*`)I=W*6EDr`=t{Y&Q9y-jl9^g$g^Tf4l+!r&0Tt literal 0 HcmV?d00001 diff --git a/data/Ubatuba.rda b/data/Ubatuba.rda deleted file mode 100644 index 0ce741ba58a4bc1fc10b1e0304dcedb7f93f458b..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 384 zcmZ>Y%CIzaj8qGbbn3fd$G{l)|L?zz4hjtJ@jqNxgd8kc{2Uw@7z`UEI2ah%92poG z4Hzq=4Kl7Qe8nH|#jSC%TZ4&--0~Ho_M(hN8Ilr>3nxgL@G`0`TDE-IM4QD2eJ(NB zDlThQpHx1n=;oF?U%&pg$h-YwZjf&e@9g-{i{E}f`1!!oV%akxO<tY_iF+h}P5Ai4 zVe{u@O;gP;dxmIwT)4C}U@yxIPs3?x&RiLbnr1~UTRhDqE#)A;iuI3h=fiTR=Gg7s zyQjMI%3+13Mm`toEo^;rHl63>JRSe@`AzTA(p>J`+u^0DUaK=gGJ?*Q#U(CWb2TGk zMS~!(N-#46i-JUu3KKV{!<2l_WABRBuRdX{U!$LMYFXdx*I!wCv~M*i)p6K9o{&&$ z)N#eGZ%dZW<DzfVb>7Tr+9nyK;Goc<tnC~UWhAt0x>koulGaBX^}}X0Tct{^-+Y+B sd8YBau&BZLsI|VfhGE(wLdwGDemuWsaVe?(=$(mvA}RulxA8Xs0EeZdKL7v# -- GitLab From b3712343ba7a7a0779d479cbaac42018c6afce4d Mon Sep 17 00:00:00 2001 From: Eduardo Junior <edujrrib@gmail.com> Date: Sun, 23 Oct 2016 17:14:52 -0200 Subject: [PATCH 28/30] =?UTF-8?q?Pequenas=20corre=C3=A7=C3=B5es=20textuais?= =?UTF-8?q?=20e=20modifica=C3=A7=C3=B5es=20em=20exemplos?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- R/Consumo.R | 16 ++++++++-------- R/Energia.R | 14 +++++++------- R/Fortaleza.R | 14 +++++++------- R/ICV.R | 13 ++++++------- R/IPI.R | 13 +++++++------ R/Lavras.R | 21 ++++++++++----------- R/Manchas.R | 14 +++++++------- R/MorettinTb4.10.R | 12 ++++++------ R/MorettinTb4.12.R | 25 +++++++++++++------------ R/MorettinTb4.13.R | 30 +++++++++++++++--------------- R/Ozonio.R | 14 +++++++------- R/PIB.R | 17 ++++++++--------- R/SP.R | 20 +++++++++++--------- 13 files changed, 112 insertions(+), 111 deletions(-) diff --git a/R/Consumo.R b/R/Consumo.R index 46257bea..084b2b84 100644 --- a/R/Consumo.R +++ b/R/Consumo.R @@ -1,16 +1,16 @@ #' @name Consumo -#' @title Vendas Físicas na RM de São Paulo -#' @description Dados sobre a quantidade de vendas físicas na -#' região metropolitana de São Paulo. A tabela tem observações -#' mensais, referentes ao período de Janeiro de 1984 a Outubro de -#' 1996. -#' +#' @title Vendas Físicas na Região Metropolitana de São Paulo +#' @description Dados sobre a quantidade de vendas físicas na +#' região metropolitana de São Paulo. A série tem observações +#' mensais referentes ao período de Janeiro de 1984 a Outubro de +#' 1996. +#' #' @format Uma série temporal (classe \code{ts}), com 154 observações -#' mensais, de janeiro de 1984 a outubro de 1996. +#' mensais, de Janeiro de 1984 a Outubro de 1996. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries #' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A11 - Consumo, mencionada em diversas +#' Blucher. (Série A11 - Consumo, mencionada em diversas #' páginas) #' @examples #' diff --git a/R/Energia.R b/R/Energia.R index b9f8535d..f619746a 100644 --- a/R/Energia.R +++ b/R/Energia.R @@ -1,15 +1,15 @@ #' @name Energia -#' @title Valores Mensais de Energia Elétrica no Espírito Santo -#' @description Dados sobre valores mensais de energia elétrica -#' no estado do Espírito Santo. A tabela é referente ao período de -#' Janeiro de 1968 a Setembro de 1979. -#' +#' @title Consumo de Energia Elétrica no Espírito Santo +#' @description Dados sobre o consumo de energia elétrica no estado do +#' Espírito Santo. A série é referente a valores mensais de consumo +#' no período de Janeiro de 1968 a Setembro de 1979. +#' #' @format Uma série temporal (classe \code{ts}), com 141 observações -#' mensais, de janeiro de 1968 a setembro de 1979. +#' mensais de Janeiro de 1968 a Setembro de 1979. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries #' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A5 - Energia, mencionada em diversas +#' Blucher. (Série A5 - Energia, mencionada em diversas #' páginas) #' @examples #' diff --git a/R/Fortaleza.R b/R/Fortaleza.R index 28b5ee99..e15799be 100644 --- a/R/Fortaleza.R +++ b/R/Fortaleza.R @@ -1,14 +1,14 @@ #' @name Fortaleza #' @title Precipitação Atmosférica em Fortaleza, Ceará -#' @description Dados sobre precipitação atmosférica, em Fortaleza, -#' no Ceará. A tabela é referente ao período de 1849 a 1997. -#' +#' @description Dados sobre precipitação atmosférica, em Fortaleza, +#' no Ceará. A série é referente ao período de 1849 a 1997. +#' #' @format Uma série temporal (classe \code{ts}), com 149 observações #' anuais, de 1849 a 1997. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries #' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A3 - Chuva, mencionada em diversas +#' Blucher. (Série A3 - Chuva, mencionada em diversas #' páginas) #' @examples #' @@ -16,11 +16,11 @@ #' str(Fortaleza) #' Fortaleza #' -#' # Média -#' tapply(Fortaleza, cycle(Fortaleza), mean) +#' # Resumos da série +#' summary(Fortaleza) #' #' # Visualização da série #' library(lattice) -#' xyplot(Fortaleza, type = c("o", "g"), pch = 19, col = "orange") +#' xyplot(Fortaleza, type = c("o", "g"), pch = 20, col = "orange") #' NULL diff --git a/R/ICV.R b/R/ICV.R index 2756ca7f..bcea15b9 100644 --- a/R/ICV.R +++ b/R/ICV.R @@ -1,16 +1,15 @@ #' @name ICV #' @title Índice de Custo de Vida em São Paulo #' @description Dados sobre o índice de custo de vida (ICV), na cidade -#' de São Paulo. A tabela é referente ao período de Janeiro de 1970 -#' a Outubro de 1980. -#' +#' de São Paulo. A série é referente ao período de Janeiro de 1970 +#' a Outubro de 1980. +#' #' @format Uma série temporal (classe \code{ts}), com 126 observações -#' mensais, de janeiro de 1970 a outubro de 1980. +#' mensais de Janeiro de 1970 a Outubro de 1980. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A10 - M-ICV, mencionada em diversas -#' páginas) +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série +#' A10 - M-ICV, mencionada em diversas páginas) #' @examples #' #' data(ICV) diff --git a/R/IPI.R b/R/IPI.R index 40db7a6c..7978da84 100644 --- a/R/IPI.R +++ b/R/IPI.R @@ -1,15 +1,15 @@ #' @name IPI #' @title Imposto Sobre Produtos Industrializados do Brasil -#' @description Dados de imposto sobre produtos industrializados (IPI), -#' de produtos alimentares, do Brasil. As observações são mensais e +#' @description Dados de imposto sobre produtos industrializados (IPI), +#' de produtos alimentares, do Brasil. As observações são mensais e #' referentes ao período de Janeiro de 1985 a Julho de 2000. -#' +#' #' @format Uma série temporal (classe \code{ts}), com 187 observações -#' mensais, de janeiro de 1985 a julho de 2000. +#' mensais de Janeiro de 1985 a Julho de 2000. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries #' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A8 - Índices, mencionada em diversas +#' Blucher. (Série A8 - Índices, mencionada em diversas #' páginas) #' @examples #' @@ -22,7 +22,7 @@ #' #' # Médias mensais #' tapply(IPI, cycle(IPI), mean) -#' +#' #' # Visualização da série #' library(lattice) #' xyplot(IPI, type = c("o", "g"), pch = 19, col = "sienna") @@ -30,4 +30,5 @@ #' # Gráfico da decomposição sazonal #' library(latticeExtra) #' xyplot(stl(IPI, s.window = 12), col = "navyblue") +#' NULL diff --git a/R/Lavras.R b/R/Lavras.R index a9833e5b..52e95ec3 100644 --- a/R/Lavras.R +++ b/R/Lavras.R @@ -1,32 +1,31 @@ #' @name Lavras #' @title Precipitação Atmosférica em Lavras, Minas Gerais -#' @description Dados sobre precipitação atmosférica, em Lavras, -#' no Ceará. A tabela é referente ao período de janeiro de 1966 -#' a Dezembro de 1997. -#' +#' @description Dados sobre precipitação atmosférica, em Lavras, no +#' estado de Minas Gerais. A série é referente ao período de Janeiro +#' de 1966 a Dezembro de 1997. +#' #' @format Uma série temporal (classe \code{ts}), com 384 observações -#' mensais, de janeiro de 1966 a dezembro de 1997. +#' mensais de Janeiro de 1966 a Dezembro de 1997. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A3 - Chuva, mencionada em diversas -#' páginas) +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série +#' A3 - Chuva, mencionada em diversas páginas) #' @examples #' #' data(Lavras) #' str(Lavras) #' Lavras -#' +#' #' # Médias anuais #' aggregate(Lavras, FUN = mean) -#' +#' #' # Médias Mensais #' tapply(Lavras, cycle(Lavras), mean) #' #' # Visualização da série #' library(lattice) #' xyplot(Lavras, type = c("o", "g"), pch = 19, col = "orange") -#' +#' #' # Gráfico da decomposição sazonal #' library(latticeExtra) #' xyplot(stl(Lavras, s.window = 12), col = "green") diff --git a/R/Manchas.R b/R/Manchas.R index fe467430..24db8fd9 100644 --- a/R/Manchas.R +++ b/R/Manchas.R @@ -1,14 +1,14 @@ #' @name Manchas #' @title Número de Manchas Solares de Wölfer -#' @description Dados sobre o número de manchas solares de Wölfer. O -#' período de referência é de 1749 a 1924. -#' +#' @description Dados anuais sobre o número de manchas solares de +#' Wölfer. Os dados referem-se ao período de 1749 a 1924. +#' #' @format Uma série temporal (classe \code{ts}), com 176 observações -#' anuais, de 1749 a 1924. +#' anuais de 1749 a 1924. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries #' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A2 - Manchas, mencionada em diversas +#' Blucher. (Série A2 - Manchas, mencionada em diversas #' páginas) #' @examples #' @@ -16,8 +16,8 @@ #' str(Manchas) #' Manchas #' -#' # Média -#' tapply(Manchas, cycle(Manchas), mean) +#' # Medidas resumo da série +#' summary(Manchas) #' #' # Visualização da série #' library(lattice) diff --git a/R/MorettinTb4.10.R b/R/MorettinTb4.10.R index 57992278..e5c2f7ec 100644 --- a/R/MorettinTb4.10.R +++ b/R/MorettinTb4.10.R @@ -1,11 +1,11 @@ #' @name MorettinTb4.10 -#' @title Preço Médio Mensal de Café no Estado de São Paulo -#' @description Dados sobre o preço médio mensal (corrente), -#' recebido pelos produtos de café, no Estado de São Paulo -#' durante o período de 1970 a 1979. Referente aos meses de janeiro -#' de 1970 a junho de 1979. +#' @title Preço Médio de Café no Estado de São Paulo +#' @description Dados sobre o preço médio mensal (corrente) recebido +#' pelos produtos de café [PRODUTOS DE CAFÉ RECEBEM PREÇOS?] no +#' Estado de São Paulo durante o período de Janeiro de 1970 a Junho +#' de 1979. #' @format Uma série temporal (classe \code{ts}), com 144 observações -#' mensais, de janeiro de 1970 a junho de 1979. +#' mensais de Janeiro de 1970 a Junho de 1979. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries #' Temporais (2nd ed.). São Paulo, SP: Editora Egard diff --git a/R/MorettinTb4.12.R b/R/MorettinTb4.12.R index b6e181bc..82456ad0 100644 --- a/R/MorettinTb4.12.R +++ b/R/MorettinTb4.12.R @@ -1,19 +1,20 @@ #' @name MorettinTb4.12 -#' @title Vendas de Óleo Lubrificante -#' @description Dados de uma série de quantidade de vendas de óleo -#' lubrificante. A tabela é referente aos meses de Janeiro de 1975 a -#' Dezembro de 1978. -#' @format Uma série temporal (classe \code{ts}), com 48 observações, +#' @title Vendas de Óleo Lubrificante +#' @description Dados das quantidades de vendas de óleo lubrificante +#' [ONDE? BRASIL, SP?]. A série é referente aos meses de Janeiro de +#' 1975 a Dezembro de 1978. +#' @format Uma série temporal (classe \code{ts}), com 48 observações, #' mensais, de janeiro de 1975 a dezembro de 1978. #' @keywords TS -#' @source MORETTIN, TOLOI (2006), Tabela 4.12, pág. 101. +#' @source MORETTIN, TOLOI (2006), Tabela 4.12, pág. 101. #' @examples #' #' data(MorettinTb4.12) -#' +#' #' library(lattice) #' str(MorettinTb4.12) -#' +#' MorettinTb4.12 +#' #' # Médias anuais #' aggregate(MorettinTb4.12, FUN = mean) #' @@ -22,10 +23,10 @@ #' #' # Visualização da série temporal #' xyplot(MorettinTb4.12, type = c("o", "g"), pch = 19, -#' strip = strip.custom(bg = "white"), col = "palegreen2", -#' lwd = 2, scales = list(y = list(rot = 0))) -#' +#' col = "palegreen2", lwd = 2, scales = list(rot = 0)) +#' #' # Gráfico da decomposição sazonal #' library(latticeExtra) #' xyplot(stl(MorettinTb4.13, s.window = 12), col = "violetred") -NULL \ No newline at end of file +#' +NULL diff --git a/R/MorettinTb4.13.R b/R/MorettinTb4.13.R index f46f1930..67d798aa 100644 --- a/R/MorettinTb4.13.R +++ b/R/MorettinTb4.13.R @@ -1,20 +1,21 @@ #' @name MorettinTb4.13 -#' @title Vendas de Refrigerante -#' @description Dados de uma série de quantidade de vendas de refrigerante. -#' A tabela é referente aos meses de Janeiro de 1970 a Dezembro de -#' 1973. -#' @format Uma série temporal (classe \code{ts}), com 48 observações -#' mensais, de janeiro de 1970 a dezembro de 1973. -#' -#' @keywords TS temporais +#' @title Vendas de Refrigerante [ONDE?] +#' @description Dados sobre as quantidades de vendas de refrigerantes +#' [ONDE? BRASIL? SP?]. A série é referente aos meses de Janeiro de +#' 1970 a Dezembro de 1973. +#' @format Uma série temporal (classe \code{ts}), com 48 observações +#' mensais de Janeiro de 1970 a Dezembro de 1973. +#' +#' @keywords TS #' @source MORETTIN, TOLOI (2006), Tabela 4.13, pág. 102. #' @examples #' #' data(MorettinTb4.13) -#' +#' #' library(lattice) #' str(MorettinTb4.13) -#' +#' MorettinTb4.13 +#' #' # Médias anuais #' aggregate(MorettinTb4.13, FUN = mean) #' @@ -22,11 +23,10 @@ #' tapply(MorettinTb4.13, cycle(MorettinTb4.13), mean) #' #' xyplot(MorettinTb4.13, type = c("o", "g"), pch = 19, -#' strip = strip.custom(bg = "white"), -#' scales = list(y = list(rot = 0)), -#' col = "tomato") -#' +#' scales = list(rot = 0), col = "tomato") +#' #' # Gráfico da decomposição sazonal #' library(latticeExtra) #' xyplot(stl(MorettinTb4.10, s.window = 12), col = "turquoise") -NULL \ No newline at end of file +#' +NULL diff --git a/R/Ozonio.R b/R/Ozonio.R index 64ba9b88..3847e00c 100644 --- a/R/Ozonio.R +++ b/R/Ozonio.R @@ -1,15 +1,15 @@ #' @name Ozonio -#' @title Concentração de Ozonio em Azuza, Califórnia -#' @description Dados sobre a concentração de Ozônio em Azuza, -#' no estado da Califórnia, EUA. A tabela é referente ao período -#' de Janeiro de 1956 a Dezembro de 1970. -#' +#' @title Concentração de Ozônio em Azuza, Califórnia +#' @description Dados sobre a concentração de Ozônio em Azuza, no estado +#' da Califórnia, EUA. A série é referente à concentrações mensais +#' no período de Janeiro de 1956 a Dezembro de 1970. +#' #' @format Uma série temporal (classe \code{ts}), com 180 observações -#' mensais, de janeiro de 1956 a dezembro de 1970. +#' mensais de Janeiro de 1956 a Dezembro de 1970. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries #' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A4 - Ozônio, mencionada em diversas +#' Blucher. (Série A4 - Ozônio, mencionada em diversas #' páginas) #' @examples #' diff --git a/R/PIB.R b/R/PIB.R index 67c8adb8..13af8c63 100644 --- a/R/PIB.R +++ b/R/PIB.R @@ -1,25 +1,24 @@ #' @name PIB #' @title Produto Interno Bruto do Brasil #' @description Dados sobre o produto interno bruto (PIB) do Brasil. -#' As observações são anuais e referentes ao período de 1861 a +#' As observações são anuais e referentes ao período de 1861 a #' 1986. -#' +#' #' @format Uma série temporal (classe \code{ts}), com 126 observações -#' anuais, de 1861 a 1986. +#' anuais de 1861 a 1986. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A8 - Índices, mencionada em diversas -#' páginas) +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série +#' A8 - Índices, mencionada em diversas páginas) #' @examples #' #' data(PIB) #' str(PIB) #' PIB #' -#' # Médias -#' mean(PIB) -#' +#' # Resumos da série +#' summary(PIB) +#' #' # Visualização da série #' library(lattice) #' xyplot(PIB, type = c("o", "g"), pch = 19, col = "violet") diff --git a/R/SP.R b/R/SP.R index 98100858..f77e5161 100644 --- a/R/SP.R +++ b/R/SP.R @@ -1,16 +1,18 @@ #' @name SP -#' @title SP de São Paulo -#' @description Dados sobre o Índice mensal do S&P 500 ("Standard and -#' Poor's Five Hundred"), índice de ações norte-americano, de -#' Julho de 1994 a Agosto de 2001. -#' +#' @title Índice Standard & Poor's 500 +#' @description Dados sobre o Índice Standard & Poor's 500 - S&P 500. +#' Índice do mercado acionário norte-americano baseado em 500 ativos +#' de empresas com ações listadas nas bolsas de NYSE ou +#' NASDAQ. Série de valores mensais no período de Julho de 1994 a +#' Agosto de 2001 [VERIFICAR PERIODO, O OBJETO R DIZ UMA COISA E A +#' DESCRICAO OUTRA]. #' @format Uma série temporal (classe \code{ts}), com 87 observações -#' mensais, de Julho de 1994 a Agosto de 2001. +#' mensais, de Julho de 1994 a Agosto de 2001 [VERIFICAR PERIODO, O +#' OBJETO R DIZ UMA COISA E A DESCRICAO OUTRA]. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A9 - Mercado Financeiro, mencionada em diversas -#' páginas) +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série +#' A9 - Mercado Financeiro, mencionada em diversas páginas) #' @examples #' #' data(SP) -- GitLab From 066a380ad38a539e7cba6fc85d44a9888cce0cf0 Mon Sep 17 00:00:00 2001 From: Eduardo Junior <edujrrib@gmail.com> Date: Sun, 23 Oct 2016 22:49:06 -0200 Subject: [PATCH 29/30] =?UTF-8?q?Realiza=20adequa=C3=A7=C3=B5es,=20indica?= =?UTF-8?q?=20corre=C3=A7=C3=B5es=20e=20adiciona=20Rd's?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- R/Atmosfera.R | 6 ++++ R/Banespa.R | 25 ++++++++++----- R/{Bebidas.R => Bebida.R} | 8 ++--- R/Cemig.R | 30 +++++++++++------- R/Consumo.R | 13 +++----- R/Fortaleza.R | 12 +++---- R/Globo.R | 15 ++++++--- R/IBV.R | 30 +++++++++++------- R/IBVSP.R | 10 +++--- R/ICV.R | 5 ++- R/IPI.R | 8 ++--- R/Lavras.R | 1 - R/Manchas.R | 10 +++--- R/MorettinTb4.10.R | 6 ++-- R/MorettinTb4.12.R | 5 ++- R/MorettinTb4.13.R | 4 +-- R/Ozonio.R | 6 ++-- R/PFI.R | 4 +-- R/PIB.R | 6 ++-- R/Petro.R | 14 ++++++-- R/{poluentes.R => Poluentes.R} | 0 R/TAM.R | 19 +++++++---- man/Atmosfera.Rd | 54 +++++++++++++++++++++++++++++++ man/Banespa.Rd | 52 ++++++++++++++++++++++++++++++ man/Bebida.Rd | 41 ++++++++++++++++++++++++ man/Cemig.Rd | 51 ++++++++++++++++++++++++++++++ man/Consumo.Rd | 40 +++++++++++++++++++++++ man/Energia.Rd | 41 ++++++++++++++++++++++++ man/Fortaleza.Rd | 32 +++++++++++++++++++ man/Globo.Rd | 48 ++++++++++++++++++++++++++++ man/IBV.Rd | 49 ++++++++++++++++++++++++++++ man/IBVSP.Rd | 39 +++++++++++++++++++++++ man/ICV.Rd | 40 +++++++++++++++++++++++ man/IPI.Rd | 40 +++++++++++++++++++++++ man/Lavras.Rd | 40 +++++++++++++++++++++++ man/Manchas.Rd | 32 +++++++++++++++++++ man/MorettinTb4.10.Rd | 12 +++---- man/MorettinTb4.12.Rd | 39 +++++++++++++++++++++++ man/MorettinTb4.13.Rd | 38 ++++++++++++++++++++++ man/Ozonio.Rd | 40 +++++++++++++++++++++++ man/PFI.Rd | 40 +++++++++++++++++++++++ man/PIB.Rd | 32 +++++++++++++++++++ man/Petro.Rd | 49 ++++++++++++++++++++++++++++ man/Poluentes.Rd | 58 ++++++++++++++++++++++++++++++++++ man/SP.Rd | 40 +++++++++++++++++++++++ man/TAM.Rd | 48 ++++++++++++++++++++++++++++ man/Temperatura.Rd | 37 ++++++++++++++++++++++ 47 files changed, 1160 insertions(+), 109 deletions(-) rename R/{Bebidas.R => Bebida.R} (82%) rename R/{poluentes.R => Poluentes.R} (100%) create mode 100644 man/Atmosfera.Rd create mode 100644 man/Banespa.Rd create mode 100644 man/Bebida.Rd create mode 100644 man/Cemig.Rd create mode 100644 man/Consumo.Rd create mode 100644 man/Energia.Rd create mode 100644 man/Fortaleza.Rd create mode 100644 man/Globo.Rd create mode 100644 man/IBV.Rd create mode 100644 man/IBVSP.Rd create mode 100644 man/ICV.Rd create mode 100644 man/IPI.Rd create mode 100644 man/Lavras.Rd create mode 100644 man/Manchas.Rd create mode 100644 man/MorettinTb4.12.Rd create mode 100644 man/MorettinTb4.13.Rd create mode 100644 man/Ozonio.Rd create mode 100644 man/PFI.Rd create mode 100644 man/PIB.Rd create mode 100644 man/Petro.Rd create mode 100644 man/Poluentes.Rd create mode 100644 man/SP.Rd create mode 100644 man/TAM.Rd create mode 100644 man/Temperatura.Rd diff --git a/R/Atmosfera.R b/R/Atmosfera.R index d3fa1abc..5a6edc66 100644 --- a/R/Atmosfera.R +++ b/R/Atmosfera.R @@ -17,6 +17,7 @@ #' em [VER UNIDADE DE MEDIDA].} #' #' } +#' @seealso \code{\link{Poluentes}}. #' @keywords TS MTS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries #' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série @@ -34,4 +35,9 @@ #' library(lattice) #' xyplot(Atmosfera, type = c("o", "g"), pch = 19, col = "turquoise") #' +#' # Mesclando com as séries dos agentes poluentes no mesmo período +#' # help(Poluentes) +#' series <- ts.union(Atmosfera, Poluentes) +#' xyplot(series, type = c("o", "g"), pch = 20, col = "black") +#' NULL diff --git a/R/Banespa.R b/R/Banespa.R index 5935db10..07931e8a 100644 --- a/R/Banespa.R +++ b/R/Banespa.R @@ -1,12 +1,14 @@ #' @name Banespa -#' @title Ações Preferenciais do Banco do Estado de São Paulo +#' @title Ações Preferenciais do Banco do Estado de São Paulo - Banespa #' @description Dados sobre os valores dos preços diários das ações #' preferenciais do banco do Estado de São Paulo - Banespa PN. Os -#' dados são referentes ao período do dia três de janeiro de 1995 -#' até 27 de dezembro de 2000, contabilizando somente os dias utéis. +#' dados são referentes ao período do dia 3 de Janeiro de 1995 até +#' 27 de Dezembro de 2000, contabilizando somente os dias utéis. #' @format Uma série temporal irregularmente espaçada (classe -#' \code{zoo}), com 1498 observações dos dias utéis de 3 de janeiro -#' de 1995 a 27 de dezembro de 2000. +#' \code{\link[zoo]{zoo}}), com 1498 observações dos dias utéis de 3 +#' de Janeiro de 1995 a 27 de Dezembro de 2000. +#' @seealso \code{\link{Cemig}}, \code{\link{Globo}}, \code{\link{IBV}}, +#' \code{\link{Petro}} e \code{\link{TAM}}. #' @keywords TS TSI #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries #' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série @@ -14,19 +16,26 @@ #' @examples #' #' data(Banespa) -#' str(Banespa) #' #' library(zoo) +#' str(Banespa) #' Banespa #' -#' # Médias anuais +#' # Médias anuais e mensais #' aggregate(Banespa, by = format(time(Banespa), "%Y"), FUN = mean) +#' aggregate(Banespa, by = format(time(Banespa), "%B"), FUN = mean) #' -#' # Série regularmente espaçada com médias mensais +#' # Série temporal regularmente espaçada de médias mensais #' aggregate(Banespa, by = as.yearmon, FUN = mean) #' #' # Visualização da série #' library(lattice) #' xyplot(Banespa, type = c("o", "g"), pch = 19, col = "seashell3") #' +#' # Visualizando os dados diários sobre o mercado financeiro presentes +#' # em MORETTIN (2006) +#' # sapply(c("Cemig", "Globo", "IBV", "Petro", "TAM"), help) +#' series <- merge(Banespa, Cemig, Globo, IBV, Petro, TAM) +#' xyplot(series, grid = TRUE, col = "black") +#' NULL diff --git a/R/Bebidas.R b/R/Bebida.R similarity index 82% rename from R/Bebidas.R rename to R/Bebida.R index 029685ac..de9bf2f6 100644 --- a/R/Bebidas.R +++ b/R/Bebida.R @@ -3,15 +3,13 @@ #' @description Dados sobre a produção física industrial (PFI), de #' alimentação e bebidas elaboradas, do Brasil. As observações são #' mensais e referem-se ao período de Janeiro de 1985 a Julho de -#' 2000. -#' +#' 2000. [DE QUE SE REFERE ESSA DESCRIÇÃO? CORRIGIR?] #' @format Uma série temporal (classe \code{ts}), com 187 observações #' mensais de Janeiro de 1985 a Julho de 2000. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A8 - Índices, mencionada em diversas -#' páginas) +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série +#' A8 - Índices, mencionada em diversas páginas) #' @examples #' #' data(Bebida) diff --git a/R/Cemig.R b/R/Cemig.R index b750046f..405a51cb 100644 --- a/R/Cemig.R +++ b/R/Cemig.R @@ -1,21 +1,23 @@ #' @name Cemig -#' @title Ações da CEMIG -#' @description Dados sobre os preçoes diários das ações da CEMIG, -#' de três de Janeiro de 1995 a 27 de Dezembro de 2000. -#' -#' @format Uma série temporal (classe \code{ts}), com 1498 observações -#' diárias, de 3 de janeiro de 1995 a 27 de dezembro de 2000. -#' @keywords TS +#' @title Ações da Companhia Energética de Minas Gerais - CEMIG +#' @description Dados sobre os preços diários das ações da Companhia +#' Energética de Minas Gerais - CEMIG de 3 de Janeiro de 1995 a 27 +#' de Dezembro de 2000, contabilizados somente nos dias utéis. +#' @format Uma série temporal irregularmente espaçada (classe +#' \code{\link[zoo]{zoo}}), com 1498 observações diárias, de 3 de +#' janeiro de 1995 a 27 de dezembro de 2000. +#' @seealso \code{\link{Banespa}}, \code{\link{Globo}}, +#' \code{\link{IBV}}, \code{\link{Petro}} e \code{\link{TAM}}. +#' @keywords TS TSI #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A9 - Mercado Financeiro, mencionada em diversas -#' páginas) +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série +#' A9 - Mercado Financeiro, mencionada em diversas páginas) #' @examples #' #' data(Cemig) -#' str(Cemig) #' #' library(zoo) +#' str(Cemig) #' Cemig #' #' # Médias anuais e em cada mês @@ -29,4 +31,10 @@ #' library(lattice) #' xyplot(Cemig, type = c("o", "g"), pch = 19, col = "brown") #' +#' # Visualizando os dados diários sobre o mercado financeiro presentes +#' # em MORETTIN (2006) +#' # sapply(c("Banespa", "Globo", "IBV", "Petro", "TAM"), help) +#' series <- merge(Cemig, Banespa, Globo, IBV, Petro, TAM) +#' xyplot(series, grid = TRUE, col = "black") +#' NULL diff --git a/R/Consumo.R b/R/Consumo.R index 084b2b84..33a1a2c3 100644 --- a/R/Consumo.R +++ b/R/Consumo.R @@ -1,17 +1,14 @@ #' @name Consumo #' @title Vendas Físicas na Região Metropolitana de São Paulo -#' @description Dados sobre a quantidade de vendas físicas na -#' região metropolitana de São Paulo. A série tem observações -#' mensais referentes ao período de Janeiro de 1984 a Outubro de -#' 1996. -#' +#' @description Dados sobre a quantidade de vendas físicas na região +#' metropolitana de São Paulo. A série tem observações mensais +#' referentes ao período de Janeiro de 1984 a Outubro de 1996. #' @format Uma série temporal (classe \code{ts}), com 154 observações #' mensais, de Janeiro de 1984 a Outubro de 1996. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A11 - Consumo, mencionada em diversas -#' páginas) +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série +#' A11 - Consumo, mencionada em diversas páginas) #' @examples #' #' data(Consumo) diff --git a/R/Fortaleza.R b/R/Fortaleza.R index e15799be..bc11b4d3 100644 --- a/R/Fortaleza.R +++ b/R/Fortaleza.R @@ -1,15 +1,13 @@ #' @name Fortaleza #' @title Precipitação Atmosférica em Fortaleza, Ceará -#' @description Dados sobre precipitação atmosférica, em Fortaleza, -#' no Ceará. A série é referente ao período de 1849 a 1997. -#' +#' @description Dados sobre precipitação atmosférica em Fortaleza, no +#' Ceará. A série é referente ao período de 1849 a 1997. #' @format Uma série temporal (classe \code{ts}), com 149 observações -#' anuais, de 1849 a 1997. +#' anuais de 1849 a 1997. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A3 - Chuva, mencionada em diversas -#' páginas) +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série +#' A3 - Chuva, mencionada em diversas páginas) #' @examples #' #' data(Fortaleza) diff --git a/R/Globo.R b/R/Globo.R index 15a847dd..5b20a376 100644 --- a/R/Globo.R +++ b/R/Globo.R @@ -3,10 +3,11 @@ #' @description Dados sobre os preços diários das ações da Globo Cabo de #' 06 de Novembro de 1996 a 27 de Dezembro de 2000. Os dados foram #' registrados apenas nos dias utéis dentre o período indicado. -#' #' @format Uma série temporal irregularmente espaçada (classe -#' \code{zoo}), com 1037 observações dos dias utéis de 06 de -#' Novembro de 1996 a 27 de Dezembro de 2000. +#' \code{\link[zoo]{zoo}}), com 1037 observações dos dias utéis de +#' 06 de Novembro de 1996 a 27 de Dezembro de 2000. +#' @seealso \code{\link{Banespa}}, \code{\link{Cemig}}, \code{\link{IBV}}, +#' \code{\link{Petro}} e \code{\link{TAM}}. #' @keywords TS TSI #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries #' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série @@ -14,9 +15,9 @@ #' @examples #' #' data(Globo) -#' str(Globo) #' #' library(zoo) +#' str(Globo) #' Globo #' #' # Médias anuais e mensais @@ -27,4 +28,10 @@ #' library(lattice) #' xyplot(Globo, type = c("o", "g"), pch = 19, col = "violet") #' +#' # Visualizando os dados diários sobre o mercado financeiro presentes +#' # em MORETTIN (2006) +#' # sapply(c("Banespa", "Cemig", "IBV", "Petro", "TAM"), help) +#' series <- merge(Globo, Banespa, Cemig, IBV, Petro, TAM) +#' xyplot(series, grid = TRUE, col = "black") +#' NULL diff --git a/R/IBV.R b/R/IBV.R index dda52358..fcc97c59 100644 --- a/R/IBV.R +++ b/R/IBV.R @@ -1,22 +1,24 @@ #' @name IBV #' @title Índice da Bolsa de Valores de São Paulo -#' @description Dados sobre o Índice da Bolsa de Valores (IBV) de São -#' Paulo. Os dados são referentes ao período de 03 de Janeiro de -#' 1995 até 27 de Dezembro de 2000. -#' -#' @format Uma série temporal (classe \code{ts}), com 1498 observações -#' diárias, de 3 de janeiro de 1995 a 27 de dezembro de 2000. -#' @keywords TS +#' @description Dados sobre o índice da bolsa de valores (IBV) de São +#' Paulo. Os dados são referentes a observações diárias, apenas dias +#' utéis, no período de 03 de Janeiro de 1995 até 27 de Dezembro de +#' 2000. +#' @format Uma série temporal irregularmente espaçada (classe +#' \code{\link[zoo]{zoo}}), com 1498 observações diárias, de 3 de +#' janeiro de 1995 a 27 de dezembro de 2000. +#' @seealso \code{\link{Banespa}}, \code{\link{Cemig}}, +#' \code{\link{Globo}}, \code{\link{Petro}} e \code{\link{TAM}}. +#' @keywords TS TSI #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A9 - Mercado Financeiro, mencionada em diversas -#' páginas) +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série +#' A9 - Mercado Financeiro, mencionada em diversas páginas) #' @examples #' #' data(IBV) -#' str(IBV) #' #' library(zoo) +#' str(IBV) #' IBV #' #' # Médias anuais @@ -27,4 +29,10 @@ #' library(lattice) #' xyplot(IBV, type = c("o", "g"), pch = 19, col = "salmon") #' +#' # Visualizando os dados diários sobre o mercado financeiro presentes +#' # em MORETTIN (2006) +#' # sapply(c("Banespa", "Cemig", "Globo", "Petro", "TAM"), help) +#' series <- merge(IBV, Banespa, Cemig, Globo, Petro, TAM) +#' xyplot(series, grid = TRUE, col = "black") +#' NULL diff --git a/R/IBVSP.R b/R/IBVSP.R index 20913cc3..15ada899 100644 --- a/R/IBVSP.R +++ b/R/IBVSP.R @@ -1,15 +1,13 @@ #' @name IBVSP #' @title Índice da Bolsa de Valores de São Paulo (1994-2001) -#' @description Dados mensais sobre o Índice da Bolsa de Valores de São -#' Paulo (IBVSP) de Junho de 1994 a Agosto de 2001. -#' +#' @description Dados mensais sobre o índice da bolsa de valores (IBV) +#' de São Paulo de Junho de 1994 a Agosto de 2001. #' @format Uma série temporal (classe \code{ts}), com 87 observações #' mensais de Junho de 1994 a Agosto de 2001. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A9 - Mercado Financeiro, mencionada em diversas -#' páginas) +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série +#' A9 - Mercado Financeiro, mencionada em diversas páginas) #' @examples #' #' data(IBVSP) diff --git a/R/ICV.R b/R/ICV.R index bcea15b9..03caadaa 100644 --- a/R/ICV.R +++ b/R/ICV.R @@ -1,9 +1,8 @@ #' @name ICV #' @title Índice de Custo de Vida em São Paulo #' @description Dados sobre o índice de custo de vida (ICV), na cidade -#' de São Paulo. A série é referente ao período de Janeiro de 1970 -#' a Outubro de 1980. -#' +#' de São Paulo. A série é referente a observações mensais no +#' período de Janeiro de 1970 a Outubro de 1980. #' @format Uma série temporal (classe \code{ts}), com 126 observações #' mensais de Janeiro de 1970 a Outubro de 1980. #' @keywords TS diff --git a/R/IPI.R b/R/IPI.R index 7978da84..4184f5c6 100644 --- a/R/IPI.R +++ b/R/IPI.R @@ -1,16 +1,14 @@ #' @name IPI #' @title Imposto Sobre Produtos Industrializados do Brasil #' @description Dados de imposto sobre produtos industrializados (IPI), -#' de produtos alimentares, do Brasil. As observações são mensais e +#' de produtos alimentares do Brasil. As observações são mensais e #' referentes ao período de Janeiro de 1985 a Julho de 2000. -#' #' @format Uma série temporal (classe \code{ts}), com 187 observações #' mensais de Janeiro de 1985 a Julho de 2000. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A8 - Índices, mencionada em diversas -#' páginas) +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série +#' A8 - Índices, mencionada em diversas páginas) #' @examples #' #' data(IPI) diff --git a/R/Lavras.R b/R/Lavras.R index 52e95ec3..3f076d09 100644 --- a/R/Lavras.R +++ b/R/Lavras.R @@ -3,7 +3,6 @@ #' @description Dados sobre precipitação atmosférica, em Lavras, no #' estado de Minas Gerais. A série é referente ao período de Janeiro #' de 1966 a Dezembro de 1997. -#' #' @format Uma série temporal (classe \code{ts}), com 384 observações #' mensais de Janeiro de 1966 a Dezembro de 1997. #' @keywords TS diff --git a/R/Manchas.R b/R/Manchas.R index 24db8fd9..44b5e03a 100644 --- a/R/Manchas.R +++ b/R/Manchas.R @@ -1,15 +1,13 @@ #' @name Manchas #' @title Número de Manchas Solares de Wölfer -#' @description Dados anuais sobre o número de manchas solares de -#' Wölfer. Os dados referem-se ao período de 1749 a 1924. -#' +#' @description Dados anuais sobre o número de manchas solares de Wölfer +#' referentes ao período de 1749 a 1924. #' @format Uma série temporal (classe \code{ts}), com 176 observações #' anuais de 1749 a 1924. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A2 - Manchas, mencionada em diversas -#' páginas) +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série +#' A2 - Manchas, mencionada em diversas páginas) #' @examples #' #' data(Manchas) diff --git a/R/MorettinTb4.10.R b/R/MorettinTb4.10.R index e5c2f7ec..5d0ee366 100644 --- a/R/MorettinTb4.10.R +++ b/R/MorettinTb4.10.R @@ -1,9 +1,9 @@ #' @name MorettinTb4.10 #' @title Preço Médio de Café no Estado de São Paulo #' @description Dados sobre o preço médio mensal (corrente) recebido -#' pelos produtos de café [PRODUTOS DE CAFÉ RECEBEM PREÇOS?] no -#' Estado de São Paulo durante o período de Janeiro de 1970 a Junho -#' de 1979. +#' pelos produtos de café [PREÇO MÉDIO DOS PRODUTOS? QUAL A UNIDADE +#' DE MEDIDA?] no Estado de São Paulo durante o período de Janeiro +#' de 1970 a Junho de 1979. #' @format Uma série temporal (classe \code{ts}), com 144 observações #' mensais de Janeiro de 1970 a Junho de 1979. #' @keywords TS diff --git a/R/MorettinTb4.12.R b/R/MorettinTb4.12.R index 82456ad0..8a86aee2 100644 --- a/R/MorettinTb4.12.R +++ b/R/MorettinTb4.12.R @@ -4,14 +4,12 @@ #' [ONDE? BRASIL, SP?]. A série é referente aos meses de Janeiro de #' 1975 a Dezembro de 1978. #' @format Uma série temporal (classe \code{ts}), com 48 observações, -#' mensais, de janeiro de 1975 a dezembro de 1978. +#' mensais de Janeiro de 1975 a Dezembro de 1978. #' @keywords TS #' @source MORETTIN, TOLOI (2006), Tabela 4.12, pág. 101. #' @examples #' #' data(MorettinTb4.12) -#' -#' library(lattice) #' str(MorettinTb4.12) #' MorettinTb4.12 #' @@ -22,6 +20,7 @@ #' tapply(MorettinTb4.12, cycle(MorettinTb4.12), mean) #' #' # Visualização da série temporal +#' library(lattice) #' xyplot(MorettinTb4.12, type = c("o", "g"), pch = 19, #' col = "palegreen2", lwd = 2, scales = list(rot = 0)) #' diff --git a/R/MorettinTb4.13.R b/R/MorettinTb4.13.R index 67d798aa..14216d10 100644 --- a/R/MorettinTb4.13.R +++ b/R/MorettinTb4.13.R @@ -5,14 +5,11 @@ #' 1970 a Dezembro de 1973. #' @format Uma série temporal (classe \code{ts}), com 48 observações #' mensais de Janeiro de 1970 a Dezembro de 1973. -#' #' @keywords TS #' @source MORETTIN, TOLOI (2006), Tabela 4.13, pág. 102. #' @examples #' #' data(MorettinTb4.13) -#' -#' library(lattice) #' str(MorettinTb4.13) #' MorettinTb4.13 #' @@ -22,6 +19,7 @@ #' # Médias mensais #' tapply(MorettinTb4.13, cycle(MorettinTb4.13), mean) #' +#' library(lattice) #' xyplot(MorettinTb4.13, type = c("o", "g"), pch = 19, #' scales = list(rot = 0), col = "tomato") #' diff --git a/R/Ozonio.R b/R/Ozonio.R index 3847e00c..bf1f7de7 100644 --- a/R/Ozonio.R +++ b/R/Ozonio.R @@ -3,14 +3,12 @@ #' @description Dados sobre a concentração de Ozônio em Azuza, no estado #' da Califórnia, EUA. A série é referente à concentrações mensais #' no período de Janeiro de 1956 a Dezembro de 1970. -#' #' @format Uma série temporal (classe \code{ts}), com 180 observações #' mensais de Janeiro de 1956 a Dezembro de 1970. #' @keywords TS #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A4 - Ozônio, mencionada em diversas -#' páginas) +#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série +#' A4 - Ozônio, mencionada em diversas páginas) #' @examples #' #' data(Ozonio) diff --git a/R/PFI.R b/R/PFI.R index 63e7018b..c664bec6 100644 --- a/R/PFI.R +++ b/R/PFI.R @@ -1,9 +1,8 @@ #' @name PFI #' @title Produção Física Industrial do Brasil -#' @description Dados sobre a produção física industrial (PFI), de +#' @description Dados sobre a produção física industrial (PFI), da #' indústria geral, do Brasil. As observações são mensais e #' referentes ao período de Janeiro de 1991 a Julho de 2000. -#' #' @format Uma série temporal (classe \code{ts}), com 115 observações #' mensais de Janeiro de 1991 a Julho de 2000. #' @keywords TS @@ -29,4 +28,5 @@ #' # Gráfico da decomposição sazonal #' library(latticeExtra) #' xyplot(stl(PFI, s.window = 12), col = "navyblue") +#' NULL diff --git a/R/PIB.R b/R/PIB.R index 13af8c63..51717239 100644 --- a/R/PIB.R +++ b/R/PIB.R @@ -1,9 +1,7 @@ #' @name PIB #' @title Produto Interno Bruto do Brasil -#' @description Dados sobre o produto interno bruto (PIB) do Brasil. -#' As observações são anuais e referentes ao período de 1861 a -#' 1986. -#' +#' @description Dados sobre o produto interno bruto (PIB) do Brasil. As +#' observações são anuais e referentes ao período de 1861 a 1986. #' @format Uma série temporal (classe \code{ts}), com 126 observações #' anuais de 1861 a 1986. #' @keywords TS diff --git a/R/Petro.R b/R/Petro.R index 03c68841..1b25404d 100644 --- a/R/Petro.R +++ b/R/Petro.R @@ -5,8 +5,10 @@ #' do dia 03 de Janeiro de 1995 até 27 de Dezembro de 2000, #' contabilizados somente nos dias utéis. #' @format Uma série temporal irregularmente espaçada (classe -#' \code{zoo}), com 1498 observações dos dias utéis de 03 de janeiro -#' de 1995 a 27 de dezembro de 2000. +#' \code{\link[zoo]{zoo}}), com 1498 observações dos dias utéis de +#' 03 de janeiro de 1995 a 27 de dezembro de 2000. +#' @seealso \code{\link{Banespa}}, \code{\link{Cemig}}, +#' \code{\link{Globo}}, \code{\link{IBV}} e \code{\link{TAM}}. #' @keywords TS TSI #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries #' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série @@ -14,9 +16,9 @@ #' @examples #' #' data(Petro) -#' str(Petro) #' #' library(zoo) +#' str(Petro) #' Petro #' #' # Médias anuais e mensais @@ -27,4 +29,10 @@ #' library(lattice) #' xyplot(Petro, type = c("o", "g"), pch = 19, col = "violetred3") #' +#' # Visualizando os dados diários sobre o mercado financeiro presentes +#' # em MORETTIN (2006) +#' # sapply(c("Banespa", "Cemig", "Globo", "IBV", "TAM"), help) +#' series <- merge(Petro, Banespa, Cemig, Globo, IBV, TAM) +#' xyplot(series, grid = TRUE, col = "black") +#' NULL diff --git a/R/poluentes.R b/R/Poluentes.R similarity index 100% rename from R/poluentes.R rename to R/Poluentes.R diff --git a/R/TAM.R b/R/TAM.R index d4b6767d..8ffa9208 100644 --- a/R/TAM.R +++ b/R/TAM.R @@ -1,12 +1,13 @@ #' @name TAM #' @title Ações da TAM Linhas Aéreas SA #' @description Dados sobre os valores diários das ações da TAM Linhas -#' Aéreas SA, contabilizando os valores nos dias utéis entre dia 10 -#' de Janeiro de 1995 e 27 de Dezembro de 2000. -#' +#' Aéreas SA, contabilizados nos dias utéis entre dia 10 de Janeiro +#' de 1995 e 27 de Dezembro de 2000. #' @format Uma série temporal irregularmente espaçada (classe -#' \code{zoo}), com 1493 observações dos dias utéis de 10 de Janeiro -#' de 1995 a 27 de Dezembro de 2000. +#' \code{\link[zoo]{zoo}}), com 1493 observações dos dias utéis de +#' 10 de Janeiro de 1995 a 27 de Dezembro de 2000. +#' @seealso \code{\link{Banespa}}, \code{\link{Cemig}}, +#' \code{\link{Globo}}, \code{\link{IBV}} e \code{\link{Petro}}. #' @keywords TS TSI #' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries #' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série @@ -14,9 +15,9 @@ #' @examples #' #' data(TAM) -#' str(TAM) #' #' library(zoo) +#' str(TAM) #' TAM #' #' # Médias anuais e mensais @@ -27,4 +28,10 @@ #' library(lattice) #' xyplot(TAM, type = c("o", "g"), pch = 19, col = "red3") #' +#' # Visualizando os dados diários sobre o mercado financeiro presentes +#' # em MORETTIN (2006) +#' # sapply(c( "Banespa", "Cemig", "Globo", "IBV", "Petro"), help) +#' series <- merge(TAM, Banespa, Cemig, Globo, IBV, Petro) +#' xyplot(series, grid = TRUE, col = "black") +#' NULL diff --git a/man/Atmosfera.Rd b/man/Atmosfera.Rd new file mode 100644 index 00000000..eec32462 --- /dev/null +++ b/man/Atmosfera.Rd @@ -0,0 +1,54 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/Atmosfera.R +\name{Atmosfera} +\alias{Atmosfera} +\title{Temperatura e Umidade do Ar na Cidade de São Paulo} +\format{Uma série temporal bivariada (classe \code{mts}), com 365 + observações diárias de 1º de Janeiro a 31 de Dezembro de 1997, + das seguintes medidas: + +\describe{ + +\item{\code{Temperatura}}{Temperaturas, mensuradas ao meio-dia em + [VER UNIDADE DE MEDIDA].} + +\item{\code{Umidade}}{Umidades relativa do ar, mensuradas ao meio-dia + em [VER UNIDADE DE MEDIDA].} + +}} +\source{ +Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries + Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série + A7 - Atmosfera, mencionada em diversas páginas) +} +\description{ +Dados atmosféricos sobre temperatura + (\code{Temperatura}) e umidade relativa do ar (\code{Umidade}), + mensuradas ao meio-dia, na cidade de São Paulo. Observações + diárias referentes a 1º de Janeiro a 31 de Dezembro de 1997. +} +\examples{ + +data(Atmosfera) +str(Atmosfera) +Atmosfera + +# Estatísticas resumo das séries +apply(Atmosfera, 2, summary) + +# Visualização da série +library(lattice) +xyplot(Atmosfera, type = c("o", "g"), pch = 19, col = "turquoise") + +# Mesclando com as séries dos agentes poluentes no mesmo período +# help(Poluentes) +series <- ts.union(Atmosfera, Poluentes) +xyplot(series, type = c("o", "g"), pch = 20, col = "black") + +} +\seealso{ +\code{\link{Poluentes}}. +} +\keyword{MTS} +\keyword{TS} + diff --git a/man/Banespa.Rd b/man/Banespa.Rd new file mode 100644 index 00000000..cf6dcb85 --- /dev/null +++ b/man/Banespa.Rd @@ -0,0 +1,52 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/Banespa.R +\name{Banespa} +\alias{Banespa} +\title{Ações Preferenciais do Banco do Estado de São Paulo - Banespa} +\format{Uma série temporal irregularmente espaçada (classe + \code{\link[zoo]{zoo}}), com 1498 observações dos dias utéis de 3 + de Janeiro de 1995 a 27 de Dezembro de 2000.} +\source{ +Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries + Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série + A9 - Mercado Financeiro, mencionada em diversas páginas) +} +\description{ +Dados sobre os valores dos preços diários das ações + preferenciais do banco do Estado de São Paulo - Banespa PN. Os + dados são referentes ao período do dia 3 de Janeiro de 1995 até + 27 de Dezembro de 2000, contabilizando somente os dias utéis. +} +\examples{ + +data(Banespa) + +library(zoo) +str(Banespa) +Banespa + +# Médias anuais e mensais +aggregate(Banespa, by = format(time(Banespa), "\%Y"), FUN = mean) +aggregate(Banespa, by = format(time(Banespa), "\%B"), FUN = mean) + +# Série temporal regularmente espaçada de médias mensais +aggregate(Banespa, by = as.yearmon, FUN = mean) + +# Visualização da série +library(lattice) +xyplot(Banespa, type = c("o", "g"), pch = 19, col = "seashell3") + +# Visualizando os dados diários sobre o mercado financeiro presentes +# em MORETTIN (2006) +# sapply(c("Cemig", "Globo", "IBV", "Petro", "TAM"), help) +series <- merge(Banespa, Cemig, Globo, IBV, Petro, TAM) +xyplot(series, grid = TRUE, col = "black") + +} +\seealso{ +\code{\link{Cemig}}, \code{\link{Globo}}, \code{\link{IBV}}, + \code{\link{Petro}} e \code{\link{TAM}}. +} +\keyword{TS} +\keyword{TSI} + diff --git a/man/Bebida.Rd b/man/Bebida.Rd new file mode 100644 index 00000000..b508c90b --- /dev/null +++ b/man/Bebida.Rd @@ -0,0 +1,41 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/Bebida.R +\name{Bebida} +\alias{Bebida} +\title{Imposto em Bebidas} +\format{Uma série temporal (classe \code{ts}), com 187 observações + mensais de Janeiro de 1985 a Julho de 2000.} +\source{ +Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries + Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série + A8 - Índices, mencionada em diversas páginas) +} +\description{ +Dados sobre a produção física industrial (PFI), de + alimentação e bebidas elaboradas, do Brasil. As observações são + mensais e referem-se ao período de Janeiro de 1985 a Julho de + 2000. [DE QUE SE REFERE ESSA DESCRIÇÃO? CORRIGIR?] +} +\examples{ + +data(Bebida) +str(Bebida) +Bebida + +# Médias anuais +aggregate(Bebida, FUN = mean) + +# Médias mensais +tapply(Bebida, cycle(Bebida), mean) + +# Visualização da série +library(lattice) +xyplot(Bebida, type = c("o", "g"), pch = 19, col = "rosybrown") + +# Gráfico da decomposição sazonal +library(latticeExtra) +xyplot(stl(Bebida, s.window = 12), col = "red3") + +} +\keyword{TS} + diff --git a/man/Cemig.Rd b/man/Cemig.Rd new file mode 100644 index 00000000..f1567683 --- /dev/null +++ b/man/Cemig.Rd @@ -0,0 +1,51 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/Cemig.R +\name{Cemig} +\alias{Cemig} +\title{Ações da Companhia Energética de Minas Gerais - CEMIG} +\format{Uma série temporal irregularmente espaçada (classe + \code{\link[zoo]{zoo}}), com 1498 observações diárias, de 3 de + janeiro de 1995 a 27 de dezembro de 2000.} +\source{ +Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries + Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série + A9 - Mercado Financeiro, mencionada em diversas páginas) +} +\description{ +Dados sobre os preços diários das ações da Companhia + Energética de Minas Gerais - CEMIG de 3 de Janeiro de 1995 a 27 + de Dezembro de 2000, contabilizados somente nos dias utéis. +} +\examples{ + +data(Cemig) + +library(zoo) +str(Cemig) +Cemig + +# Médias anuais e em cada mês +aggregate(Cemig, by = format(time(Cemig), "\%Y"), FUN = mean) +aggregate(Cemig, by = format(time(Cemig), "\%B"), FUN = mean) + +# Série regularmente espaçada com médias mensais +aggregate(Cemig, by = as.yearmon, FUN = mean) + +# Visualização da série +library(lattice) +xyplot(Cemig, type = c("o", "g"), pch = 19, col = "brown") + +# Visualizando os dados diários sobre o mercado financeiro presentes +# em MORETTIN (2006) +# sapply(c("Banespa", "Globo", "IBV", "Petro", "TAM"), help) +series <- merge(Cemig, Banespa, Globo, IBV, Petro, TAM) +xyplot(series, grid = TRUE, col = "black") + +} +\seealso{ +\code{\link{Banespa}}, \code{\link{Globo}}, + \code{\link{IBV}}, \code{\link{Petro}} e \code{\link{TAM}}. +} +\keyword{TS} +\keyword{TSI} + diff --git a/man/Consumo.Rd b/man/Consumo.Rd new file mode 100644 index 00000000..04d9ac83 --- /dev/null +++ b/man/Consumo.Rd @@ -0,0 +1,40 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/Consumo.R +\name{Consumo} +\alias{Consumo} +\title{Vendas Físicas na Região Metropolitana de São Paulo} +\format{Uma série temporal (classe \code{ts}), com 154 observações + mensais, de Janeiro de 1984 a Outubro de 1996.} +\source{ +Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries + Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série + A11 - Consumo, mencionada em diversas páginas) +} +\description{ +Dados sobre a quantidade de vendas físicas na região + metropolitana de São Paulo. A série tem observações mensais + referentes ao período de Janeiro de 1984 a Outubro de 1996. +} +\examples{ + +data(Consumo) +str(Consumo) +Consumo + +# Médias anuais +aggregate(Consumo, FUN = mean) + +# Médias mensais +tapply(Consumo, cycle(Consumo), mean) + +# Visualização da série +library(lattice) +xyplot(Consumo, type = c("o", "g"), pch = 19, col = "springgreen") + +# Gráfico da decomposição sazonal +library(latticeExtra) +xyplot(stl(Consumo, s.window = 12), col = "yellow3") + +} +\keyword{TS} + diff --git a/man/Energia.Rd b/man/Energia.Rd new file mode 100644 index 00000000..dc29cd5a --- /dev/null +++ b/man/Energia.Rd @@ -0,0 +1,41 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/Energia.R +\name{Energia} +\alias{Energia} +\title{Consumo de Energia Elétrica no Espírito Santo} +\format{Uma série temporal (classe \code{ts}), com 141 observações + mensais de Janeiro de 1968 a Setembro de 1979.} +\source{ +Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries + Temporais (2nd ed.). São Paulo, SP: Editora Egard + Blucher. (Série A5 - Energia, mencionada em diversas + páginas) +} +\description{ +Dados sobre o consumo de energia elétrica no estado do + Espírito Santo. A série é referente a valores mensais de consumo + no período de Janeiro de 1968 a Setembro de 1979. +} +\examples{ + +data(Energia) +str(Energia) +Energia + +# Médias anuais +aggregate(Energia, FUN = mean) + +# Médias mensais +tapply(Energia, cycle(Energia), mean) + +# Visualização da série +library(lattice) +xyplot(Energia, type = c("o", "g"), pch = 19, col = "lightblue") + +# Gráfico da decomposição sazonal +library(latticeExtra) +xyplot(stl(Energia, s.window = 12), col = "yellowgreen") + +} +\keyword{TS} + diff --git a/man/Fortaleza.Rd b/man/Fortaleza.Rd new file mode 100644 index 00000000..95fef7a5 --- /dev/null +++ b/man/Fortaleza.Rd @@ -0,0 +1,32 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/Fortaleza.R +\name{Fortaleza} +\alias{Fortaleza} +\title{Precipitação Atmosférica em Fortaleza, Ceará} +\format{Uma série temporal (classe \code{ts}), com 149 observações + anuais de 1849 a 1997.} +\source{ +Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries + Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série + A3 - Chuva, mencionada em diversas páginas) +} +\description{ +Dados sobre precipitação atmosférica em Fortaleza, no + Ceará. A série é referente ao período de 1849 a 1997. +} +\examples{ + +data(Fortaleza) +str(Fortaleza) +Fortaleza + +# Resumos da série +summary(Fortaleza) + +# Visualização da série +library(lattice) +xyplot(Fortaleza, type = c("o", "g"), pch = 20, col = "orange") + +} +\keyword{TS} + diff --git a/man/Globo.Rd b/man/Globo.Rd new file mode 100644 index 00000000..73622781 --- /dev/null +++ b/man/Globo.Rd @@ -0,0 +1,48 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/Globo.R +\name{Globo} +\alias{Globo} +\title{Ações da Globo Cabo} +\format{Uma série temporal irregularmente espaçada (classe + \code{\link[zoo]{zoo}}), com 1037 observações dos dias utéis de + 06 de Novembro de 1996 a 27 de Dezembro de 2000.} +\source{ +Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries + Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série + A9 - Mercado Financeiro, mencionada em diversas páginas) +} +\description{ +Dados sobre os preços diários das ações da Globo Cabo de + 06 de Novembro de 1996 a 27 de Dezembro de 2000. Os dados foram + registrados apenas nos dias utéis dentre o período indicado. +} +\examples{ + +data(Globo) + +library(zoo) +str(Globo) +Globo + +# Médias anuais e mensais +aggregate(Globo, by = format(time(Globo), "\%Y"), FUN = mean) +aggregate(Globo, by = format(time(Globo), "\%B"), FUN = mean) + +# Visualização da série +library(lattice) +xyplot(Globo, type = c("o", "g"), pch = 19, col = "violet") + +# Visualizando os dados diários sobre o mercado financeiro presentes +# em MORETTIN (2006) +# sapply(c("Banespa", "Cemig", "IBV", "Petro", "TAM"), help) +series <- merge(Globo, Banespa, Cemig, IBV, Petro, TAM) +xyplot(series, grid = TRUE, col = "black") + +} +\seealso{ +\code{\link{Banespa}}, \code{\link{Cemig}}, \code{\link{IBV}}, + \code{\link{Petro}} e \code{\link{TAM}}. +} +\keyword{TS} +\keyword{TSI} + diff --git a/man/IBV.Rd b/man/IBV.Rd new file mode 100644 index 00000000..45c99825 --- /dev/null +++ b/man/IBV.Rd @@ -0,0 +1,49 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/IBV.R +\name{IBV} +\alias{IBV} +\title{Índice da Bolsa de Valores de São Paulo} +\format{Uma série temporal irregularmente espaçada (classe + \code{\link[zoo]{zoo}}), com 1498 observações diárias, de 3 de + janeiro de 1995 a 27 de dezembro de 2000.} +\source{ +Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries + Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série + A9 - Mercado Financeiro, mencionada em diversas páginas) +} +\description{ +Dados sobre o índice da bolsa de valores (IBV) de São + Paulo. Os dados são referentes a observações diárias, apenas dias + utéis, no período de 03 de Janeiro de 1995 até 27 de Dezembro de + 2000. +} +\examples{ + +data(IBV) + +library(zoo) +str(IBV) +IBV + +# Médias anuais +aggregate(IBV, by = format(time(IBV), "\%Y"), FUN = mean) +aggregate(IBV, by = format(time(IBV), "\%B"), FUN = mean) + +# Visualização da série +library(lattice) +xyplot(IBV, type = c("o", "g"), pch = 19, col = "salmon") + +# Visualizando os dados diários sobre o mercado financeiro presentes +# em MORETTIN (2006) +# sapply(c("Banespa", "Cemig", "Globo", "Petro", "TAM"), help) +series <- merge(IBV, Banespa, Cemig, Globo, Petro, TAM) +xyplot(series, grid = TRUE, col = "black") + +} +\seealso{ +\code{\link{Banespa}}, \code{\link{Cemig}}, + \code{\link{Globo}}, \code{\link{Petro}} e \code{\link{TAM}}. +} +\keyword{TS} +\keyword{TSI} + diff --git a/man/IBVSP.Rd b/man/IBVSP.Rd new file mode 100644 index 00000000..5868a994 --- /dev/null +++ b/man/IBVSP.Rd @@ -0,0 +1,39 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/IBVSP.R +\name{IBVSP} +\alias{IBVSP} +\title{Índice da Bolsa de Valores de São Paulo (1994-2001)} +\format{Uma série temporal (classe \code{ts}), com 87 observações + mensais de Junho de 1994 a Agosto de 2001.} +\source{ +Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries + Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série + A9 - Mercado Financeiro, mencionada em diversas páginas) +} +\description{ +Dados mensais sobre o índice da bolsa de valores (IBV) + de São Paulo de Junho de 1994 a Agosto de 2001. +} +\examples{ + +data(IBVSP) +str(IBVSP) +IBVSP + +# Médias anuais +aggregate(IBVSP, FUN = mean) + +# Médias mensais +tapply(IBVSP, cycle(IBVSP), mean) + +# Visualização da série +library(lattice) +xyplot(IBVSP, type = c("o", "g"), pch = 19, col = "royalblue") + +# Gráfico da decomposição sazonal +library(latticeExtra) +xyplot(stl(IBVSP, s.window = 12), col = "khaki3") + +} +\keyword{TS} + diff --git a/man/ICV.Rd b/man/ICV.Rd new file mode 100644 index 00000000..abfc1fab --- /dev/null +++ b/man/ICV.Rd @@ -0,0 +1,40 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/ICV.R +\name{ICV} +\alias{ICV} +\title{Índice de Custo de Vida em São Paulo} +\format{Uma série temporal (classe \code{ts}), com 126 observações + mensais de Janeiro de 1970 a Outubro de 1980.} +\source{ +Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries + Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série + A10 - M-ICV, mencionada em diversas páginas) +} +\description{ +Dados sobre o índice de custo de vida (ICV), na cidade + de São Paulo. A série é referente a observações mensais no + período de Janeiro de 1970 a Outubro de 1980. +} +\examples{ + +data(ICV) +str(ICV) +ICV + +# Médias anuais +aggregate(ICV, FUN = mean) + +# Médias mensais +tapply(ICV, cycle(ICV), mean) + +# Visualização da série +library(lattice) +xyplot(ICV, type = c("o", "g"), pch = 19, col = "peachpuff") + +# Gráfico da decomposição sazonal +library(latticeExtra) +xyplot(stl(ICV, s.window = 12), col = "peru") + +} +\keyword{TS} + diff --git a/man/IPI.Rd b/man/IPI.Rd new file mode 100644 index 00000000..07653cde --- /dev/null +++ b/man/IPI.Rd @@ -0,0 +1,40 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/IPI.R +\name{IPI} +\alias{IPI} +\title{Imposto Sobre Produtos Industrializados do Brasil} +\format{Uma série temporal (classe \code{ts}), com 187 observações + mensais de Janeiro de 1985 a Julho de 2000.} +\source{ +Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries + Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série + A8 - Índices, mencionada em diversas páginas) +} +\description{ +Dados de imposto sobre produtos industrializados (IPI), + de produtos alimentares do Brasil. As observações são mensais e + referentes ao período de Janeiro de 1985 a Julho de 2000. +} +\examples{ + +data(IPI) +str(IPI) +IPI + +# Médias anuais +aggregate(IPI, FUN = mean) + +# Médias mensais +tapply(IPI, cycle(IPI), mean) + +# Visualização da série +library(lattice) +xyplot(IPI, type = c("o", "g"), pch = 19, col = "sienna") + +# Gráfico da decomposição sazonal +library(latticeExtra) +xyplot(stl(IPI, s.window = 12), col = "navyblue") + +} +\keyword{TS} + diff --git a/man/Lavras.Rd b/man/Lavras.Rd new file mode 100644 index 00000000..d3b843a1 --- /dev/null +++ b/man/Lavras.Rd @@ -0,0 +1,40 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/Lavras.R +\name{Lavras} +\alias{Lavras} +\title{Precipitação Atmosférica em Lavras, Minas Gerais} +\format{Uma série temporal (classe \code{ts}), com 384 observações + mensais de Janeiro de 1966 a Dezembro de 1997.} +\source{ +Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries + Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série + A3 - Chuva, mencionada em diversas páginas) +} +\description{ +Dados sobre precipitação atmosférica, em Lavras, no + estado de Minas Gerais. A série é referente ao período de Janeiro + de 1966 a Dezembro de 1997. +} +\examples{ + +data(Lavras) +str(Lavras) +Lavras + +# Médias anuais +aggregate(Lavras, FUN = mean) + +# Médias Mensais +tapply(Lavras, cycle(Lavras), mean) + +# Visualização da série +library(lattice) +xyplot(Lavras, type = c("o", "g"), pch = 19, col = "orange") + +# Gráfico da decomposição sazonal +library(latticeExtra) +xyplot(stl(Lavras, s.window = 12), col = "green") + +} +\keyword{TS} + diff --git a/man/Manchas.Rd b/man/Manchas.Rd new file mode 100644 index 00000000..032f82bd --- /dev/null +++ b/man/Manchas.Rd @@ -0,0 +1,32 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/Manchas.R +\name{Manchas} +\alias{Manchas} +\title{Número de Manchas Solares de Wölfer} +\format{Uma série temporal (classe \code{ts}), com 176 observações + anuais de 1749 a 1924.} +\source{ +Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries + Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série + A2 - Manchas, mencionada em diversas páginas) +} +\description{ +Dados anuais sobre o número de manchas solares de Wölfer + referentes ao período de 1749 a 1924. +} +\examples{ + +data(Manchas) +str(Manchas) +Manchas + +# Medidas resumo da série +summary(Manchas) + +# Visualização da série +library(lattice) +xyplot(Manchas, type = c("o", "g"), pch = 19, col = "wheat4") + +} +\keyword{TS} + diff --git a/man/MorettinTb4.10.Rd b/man/MorettinTb4.10.Rd index 7da930d7..1b79920c 100644 --- a/man/MorettinTb4.10.Rd +++ b/man/MorettinTb4.10.Rd @@ -2,19 +2,19 @@ % Please edit documentation in R/MorettinTb4.10.R \name{MorettinTb4.10} \alias{MorettinTb4.10} -\title{Preço Médio Mensal de Café no Estado de São Paulo} +\title{Preço Médio de Café no Estado de São Paulo} \format{Uma série temporal (classe \code{ts}), com 144 observações - mensais, de janeiro de 1970 a junho de 1979.} + mensais de Janeiro de 1970 a Junho de 1979.} \source{ Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Tabela 4.10 pág. 100) } \description{ -Dados sobre o preço médio mensal (corrente), MENSURADO - EM ???, recebido pelos produtos de café, no Estado de São Paulo - durante o período de 1970 a 1979. referente aos meses de janeiro - de 1970 a junho de 1979. +Dados sobre o preço médio mensal (corrente) recebido + pelos produtos de café [PREÇO MÉDIO DOS PRODUTOS? QUAL A UNIDADE + DE MEDIDA?] no Estado de São Paulo durante o período de Janeiro + de 1970 a Junho de 1979. } \examples{ diff --git a/man/MorettinTb4.12.Rd b/man/MorettinTb4.12.Rd new file mode 100644 index 00000000..cfc92068 --- /dev/null +++ b/man/MorettinTb4.12.Rd @@ -0,0 +1,39 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/MorettinTb4.12.R +\name{MorettinTb4.12} +\alias{MorettinTb4.12} +\title{Vendas de Óleo Lubrificante} +\format{Uma série temporal (classe \code{ts}), com 48 observações, + mensais de Janeiro de 1975 a Dezembro de 1978.} +\source{ +MORETTIN, TOLOI (2006), Tabela 4.12, pág. 101. +} +\description{ +Dados das quantidades de vendas de óleo lubrificante + [ONDE? BRASIL, SP?]. A série é referente aos meses de Janeiro de + 1975 a Dezembro de 1978. +} +\examples{ + +data(MorettinTb4.12) +str(MorettinTb4.12) +MorettinTb4.12 + +# Médias anuais +aggregate(MorettinTb4.12, FUN = mean) + +# Médias mensais +tapply(MorettinTb4.12, cycle(MorettinTb4.12), mean) + +# Visualização da série temporal +library(lattice) +xyplot(MorettinTb4.12, type = c("o", "g"), pch = 19, + col = "palegreen2", lwd = 2, scales = list(rot = 0)) + +# Gráfico da decomposição sazonal +library(latticeExtra) +xyplot(stl(MorettinTb4.13, s.window = 12), col = "violetred") + +} +\keyword{TS} + diff --git a/man/MorettinTb4.13.Rd b/man/MorettinTb4.13.Rd new file mode 100644 index 00000000..847e07bf --- /dev/null +++ b/man/MorettinTb4.13.Rd @@ -0,0 +1,38 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/MorettinTb4.13.R +\name{MorettinTb4.13} +\alias{MorettinTb4.13} +\title{Vendas de Refrigerante [ONDE?]} +\format{Uma série temporal (classe \code{ts}), com 48 observações + mensais de Janeiro de 1970 a Dezembro de 1973.} +\source{ +MORETTIN, TOLOI (2006), Tabela 4.13, pág. 102. +} +\description{ +Dados sobre as quantidades de vendas de refrigerantes + [ONDE? BRASIL? SP?]. A série é referente aos meses de Janeiro de + 1970 a Dezembro de 1973. +} +\examples{ + +data(MorettinTb4.13) +str(MorettinTb4.13) +MorettinTb4.13 + +# Médias anuais +aggregate(MorettinTb4.13, FUN = mean) + +# Médias mensais +tapply(MorettinTb4.13, cycle(MorettinTb4.13), mean) + +library(lattice) +xyplot(MorettinTb4.13, type = c("o", "g"), pch = 19, + scales = list(rot = 0), col = "tomato") + +# Gráfico da decomposição sazonal +library(latticeExtra) +xyplot(stl(MorettinTb4.10, s.window = 12), col = "turquoise") + +} +\keyword{TS} + diff --git a/man/Ozonio.Rd b/man/Ozonio.Rd new file mode 100644 index 00000000..821c0919 --- /dev/null +++ b/man/Ozonio.Rd @@ -0,0 +1,40 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/Ozonio.R +\name{Ozonio} +\alias{Ozonio} +\title{Concentração de Ozônio em Azuza, Califórnia} +\format{Uma série temporal (classe \code{ts}), com 180 observações + mensais de Janeiro de 1956 a Dezembro de 1970.} +\source{ +Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries + Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série + A4 - Ozônio, mencionada em diversas páginas) +} +\description{ +Dados sobre a concentração de Ozônio em Azuza, no estado + da Califórnia, EUA. A série é referente à concentrações mensais + no período de Janeiro de 1956 a Dezembro de 1970. +} +\examples{ + +data(Ozonio) +str(Ozonio) +Ozonio + +# Médias anuais +aggregate(Ozonio, FUN = mean) + +# Médias mensais +tapply(Ozonio, cycle(Ozonio), mean) + +# Visualização da série +library(lattice) +xyplot(Ozonio, type = c("o", "g"), pch = 19, col = "tomato") + +# Gráfico da decomposição sazonal +library(latticeExtra) +xyplot(stl(Ozonio, s.window = 12), col = "lightgreen") + +} +\keyword{TS} + diff --git a/man/PFI.Rd b/man/PFI.Rd new file mode 100644 index 00000000..ccd407d3 --- /dev/null +++ b/man/PFI.Rd @@ -0,0 +1,40 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/PFI.R +\name{PFI} +\alias{PFI} +\title{Produção Física Industrial do Brasil} +\format{Uma série temporal (classe \code{ts}), com 115 observações + mensais de Janeiro de 1991 a Julho de 2000.} +\source{ +Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries + Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série + A8 - Índices, mencionada em diversas páginas) +} +\description{ +Dados sobre a produção física industrial (PFI), da + indústria geral, do Brasil. As observações são mensais e + referentes ao período de Janeiro de 1991 a Julho de 2000. +} +\examples{ + +data(PFI) +str(PFI) +PFI + +# Médias anuais +aggregate(PFI, FUN = mean) + +# Médias mensais +tapply(PFI, cycle(PFI), mean) + +# Visualização da série +library(lattice) +xyplot(PFI, type = c("o", "g"), pch = 19, col = "sienna") + +# Gráfico da decomposição sazonal +library(latticeExtra) +xyplot(stl(PFI, s.window = 12), col = "navyblue") + +} +\keyword{TS} + diff --git a/man/PIB.Rd b/man/PIB.Rd new file mode 100644 index 00000000..6b2b07ba --- /dev/null +++ b/man/PIB.Rd @@ -0,0 +1,32 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/PIB.R +\name{PIB} +\alias{PIB} +\title{Produto Interno Bruto do Brasil} +\format{Uma série temporal (classe \code{ts}), com 126 observações + anuais de 1861 a 1986.} +\source{ +Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries + Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série + A8 - Índices, mencionada em diversas páginas) +} +\description{ +Dados sobre o produto interno bruto (PIB) do Brasil. As + observações são anuais e referentes ao período de 1861 a 1986. +} +\examples{ + +data(PIB) +str(PIB) +PIB + +# Resumos da série +summary(PIB) + +# Visualização da série +library(lattice) +xyplot(PIB, type = c("o", "g"), pch = 19, col = "violet") + +} +\keyword{TS} + diff --git a/man/Petro.Rd b/man/Petro.Rd new file mode 100644 index 00000000..8cb95887 --- /dev/null +++ b/man/Petro.Rd @@ -0,0 +1,49 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/Petro.R +\name{Petro} +\alias{Petro} +\title{Ações Preferenciais da Petrobras} +\format{Uma série temporal irregularmente espaçada (classe + \code{\link[zoo]{zoo}}), com 1498 observações dos dias utéis de + 03 de janeiro de 1995 a 27 de dezembro de 2000.} +\source{ +Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries + Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série + A9 - Mercado Financeiro, mencionada em diversas páginas) +} +\description{ +Dados sobre os valores diários das ações preferenciais + da Petrobras - Petrobras PN. Os dados são referentes ao período + do dia 03 de Janeiro de 1995 até 27 de Dezembro de 2000, + contabilizados somente nos dias utéis. +} +\examples{ + +data(Petro) + +library(zoo) +str(Petro) +Petro + +# Médias anuais e mensais +aggregate(Petro, by = format(time(Petro), "\%Y"), FUN = mean) +aggregate(Petro, by = format(time(Petro), "\%B"), FUN = mean) + +# Visualização da série +library(lattice) +xyplot(Petro, type = c("o", "g"), pch = 19, col = "violetred3") + +# Visualizando os dados diários sobre o mercado financeiro presentes +# em MORETTIN (2006) +# sapply(c("Banespa", "Cemig", "Globo", "IBV", "TAM"), help) +series <- merge(Petro, Banespa, Cemig, Globo, IBV, TAM) +xyplot(series, grid = TRUE, col = "black") + +} +\seealso{ +\code{\link{Banespa}}, \code{\link{Cemig}}, + \code{\link{Globo}}, \code{\link{IBV}} e \code{\link{TAM}}. +} +\keyword{TS} +\keyword{TSI} + diff --git a/man/Poluentes.Rd b/man/Poluentes.Rd new file mode 100644 index 00000000..4d06b57a --- /dev/null +++ b/man/Poluentes.Rd @@ -0,0 +1,58 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/Poluentes.R +\name{Poluentes} +\alias{Poluentes} +\title{Emissão Diária de Poluentes na Cidade de São Paulo em 1997} +\format{Uma série temporal multivariada (classe \code{mts}), com 365 + observações diárias de 1º de Janeiro a 31 de Dezembro de 1997, + dos seguintes poluentes: + +\describe{ + +\item{\code{PM10}}{Partículas inaláveis de diâmetro inferior a 10 + micrometros (\eqn{PM_{10}}), valores mensurados em VER A ESCALA + DE MENSURAÇÂO.} + +\item{\code{SO2}}{Dióxido de enxofre (\eqn{SO_2}), valores mensurados + em VER A ESCALA DE MENSURAÇÂO.} + +\item{\code{CO}}{Monóxido de carbono (\eqn{CO}), valores mensurados + em VER A ESCALA DE MENSURAÇÂO.} + +\item{\code{O3}}{ozônio troposférico (\eqn{O_3}), valores mensurados + em VER A ESCALA DE MENSURAÇÂO.} + +\item{\code{NO2}}{Dióxido de nitrogênio (\eqn{NO2}), valores mensurados + em VER A ESCALA DE MENSURAÇÂO.} + +}} +\source{ +Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries + Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série + A6- Poluição, mencionada em diversas páginas) +} +\description{ +Dados sobre sobre a emissão diária de poluentes na + cidade de São Paulo no ano de 1997. Foram acompanhadas cinco + poluentes atmosféricos: partículas inaláveis de diâmetro inferior + a 10 micrometros (\eqn{PM_{10}}), dióxido de enxofre + (\eqn{SO_2}), monóxido de carbono (\eqn{CO}), ozônio troposférico + (\eqn{O_3}) e dióxido de nitrogênio (NO_2). +} +\examples{ + +data(Poluentes) +str(Poluentes) +Poluentes + +# Estatísticas pontuais das séries +apply(Poluentes, 2, summary) + +# Visualização da série +library(lattice) +xyplot(Poluentes, type = c("o", "g"), pch = 20, col = "brown") + +} +\keyword{MTS} +\keyword{TS} + diff --git a/man/SP.Rd b/man/SP.Rd new file mode 100644 index 00000000..f7b3094a --- /dev/null +++ b/man/SP.Rd @@ -0,0 +1,40 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/SP.R +\name{SP} +\alias{SP} +\title{Índice Standard & Poor's 500} +\format{Uma série temporal (classe \code{ts}), com 87 observações + mensais, de Julho de 1994 a Agosto de 2001 [VERIFICAR PERIODO, O + OBJETO R DIZ UMA COISA E A DESCRICAO OUTRA].} +\source{ +Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries + Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série + A9 - Mercado Financeiro, mencionada em diversas páginas) +} +\description{ +Dados sobre o Índice Standard & Poor's 500 - S&P 500. + Índice do mercado acionário norte-americano baseado em 500 ativos + de empresas com ações listadas nas bolsas de NYSE ou + NASDAQ. Série de valores mensais no período de Julho de 1994 a + Agosto de 2001 [VERIFICAR PERIODO, O OBJETO R DIZ UMA COISA E A + DESCRICAO OUTRA]. +} +\examples{ + +data(SP) +str(SP) +SP + +# Médias anuais +aggregate(SP, FUN = mean) + +# Visualização da série +library(lattice) +xyplot(SP, type = c("o", "g"), pch = 19, col = "lemonchiffon3") + +# Gráfico da decomposição sazonal +library(latticeExtra) +xyplot(stl(SP, s.window = 12), col = "cyan") +} +\keyword{TS} + diff --git a/man/TAM.Rd b/man/TAM.Rd new file mode 100644 index 00000000..da168849 --- /dev/null +++ b/man/TAM.Rd @@ -0,0 +1,48 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/TAM.R +\name{TAM} +\alias{TAM} +\title{Ações da TAM Linhas Aéreas SA} +\format{Uma série temporal irregularmente espaçada (classe + \code{\link[zoo]{zoo}}), com 1493 observações dos dias utéis de + 10 de Janeiro de 1995 a 27 de Dezembro de 2000.} +\source{ +Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries + Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série + A9 - Mercado Financeiro, mencionada em diversas páginas) +} +\description{ +Dados sobre os valores diários das ações da TAM Linhas + Aéreas SA, contabilizados nos dias utéis entre dia 10 de Janeiro + de 1995 e 27 de Dezembro de 2000. +} +\examples{ + +data(TAM) + +library(zoo) +str(TAM) +TAM + +# Médias anuais e mensais +aggregate(TAM, by = format(time(TAM), "\%Y"), FUN = mean) +aggregate(TAM, by = format(time(TAM), "\%B"), FUN = mean) + +# Visualização da série +library(lattice) +xyplot(TAM, type = c("o", "g"), pch = 19, col = "red3") + +# Visualizando os dados diários sobre o mercado financeiro presentes +# em MORETTIN (2006) +# sapply(c( "Banespa", "Cemig", "Globo", "IBV", "Petro"), help) +series <- merge(TAM, Banespa, Cemig, Globo, IBV, Petro) +xyplot(series, grid = TRUE, col = "black") + +} +\seealso{ +\code{\link{Banespa}}, \code{\link{Cemig}}, + \code{\link{Globo}}, \code{\link{IBV}} e \code{\link{Petro}}. +} +\keyword{TS} +\keyword{TSI} + diff --git a/man/Temperatura.Rd b/man/Temperatura.Rd new file mode 100644 index 00000000..9613238f --- /dev/null +++ b/man/Temperatura.Rd @@ -0,0 +1,37 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/Temperatura.R +\name{Temperatura} +\alias{Temperatura} +\title{Temperaturas em Cananéia e Ubatuba, São Paulo} +\format{Uma série temporal bivariada (classe \code{mts}), com 120 + observações mensais de Janeiro de 1976 a Dezembro de 1985, das + temperaturas em \code{Cananeia} e \code{Ubatuba}.} +\source{ +Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries + Temporais (2nd ed.). São Paulo, SP: Editora Egard + Blucher. (Série A1 - Temperatura, mencionada em diversas + páginas) +} +\description{ +Dados sobre temperaturas médias mensais, em graus + centígrados, nas cidades de Cananéia e Ubatuba, em São Paulo. A + série é referente ao período de Janeiro de 1976 a Dezembro de + 1985. +} +\examples{ + +data(Temperatura) +str(Temperatura) +Temperatura + +# Médias anuais +aggregate(Temperatura, FUN = mean) + +# Visualização da série +library(lattice) +xyplot(Temperatura, type = c("o", "g"), pch = 20, superpose = TRUE) + +} +\keyword{MTS} +\keyword{TS} + -- GitLab From 8f7206d82bf2455c90e7e3910d72b332df7abd14 Mon Sep 17 00:00:00 2001 From: Bruna Wundervald <brunadaviesw@gmail.com> Date: Wed, 26 Oct 2016 17:34:56 -0200 Subject: [PATCH 30/30] =?UTF-8?q?Adiciona=20algumas=20corre=C3=A7=C3=B5es?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- R/Atmosfera.R | 13 ++-- R/Banespa.R | 5 +- R/Bebida.R | 7 +- R/Cemig.R | 5 +- R/Consumo.R | 5 +- R/Energia.R | 6 +- R/Fortaleza.R | 5 +- R/Globo.R | 5 +- R/IBV.R | 5 +- R/IBVSP.R | 5 +- R/ICV.R | 5 +- R/IPI.R | 5 +- R/Lavras.R | 5 +- R/Manchas.R | 5 +- R/MorettinTb4.12.R | 7 +- R/Ozonio.R | 5 +- R/PFI.R | 5 +- R/PIB.R | 5 +- R/Petro.R | 5 +- R/Poluentes.R | 24 +++---- R/SP.R | 15 ++-- R/TAM.R | 5 +- R/Temperatura.R | 6 +- data-raw/MorettinTb4.12.txt | 132 +++++++++++++++++++++++------------- 24 files changed, 150 insertions(+), 140 deletions(-) diff --git a/R/Atmosfera.R b/R/Atmosfera.R index 5a6edc66..611f8c27 100644 --- a/R/Atmosfera.R +++ b/R/Atmosfera.R @@ -10,18 +10,17 @@ #' #' \describe{ #' -#' \item{\code{Temperatura}}{Temperaturas, mensuradas ao meio-dia em -#' [VER UNIDADE DE MEDIDA].} +#' \item{\code{Temperatura}}{Temperaturas, mensuradas ao meio-dia, em +#' graus celsius.} #' -#' \item{\code{Umidade}}{Umidades relativa do ar, mensuradas ao meio-dia -#' em [VER UNIDADE DE MEDIDA].} +#' \item{\code{Umidade}}{Umidades relativa do ar, mensuradas ao meio-dia, +#' em porcentagem.} #' #' } #' @seealso \code{\link{Poluentes}}. #' @keywords TS MTS -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série -#' A7 - Atmosfera, mencionada em diversas páginas) +#' @source MORETTIN, TOLOI (2006), Série A7 - Atmosfera, +#' mencionada em diversas páginas. #' @examples #' #' data(Atmosfera) diff --git a/R/Banespa.R b/R/Banespa.R index 07931e8a..6c8b6cdc 100644 --- a/R/Banespa.R +++ b/R/Banespa.R @@ -10,9 +10,8 @@ #' @seealso \code{\link{Cemig}}, \code{\link{Globo}}, \code{\link{IBV}}, #' \code{\link{Petro}} e \code{\link{TAM}}. #' @keywords TS TSI -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série -#' A9 - Mercado Financeiro, mencionada em diversas páginas) +#' @source MORETTIN, TOLOI (2006), Série A9 - Mercado Financeiro, +#' mencionada em diversas páginas. #' @examples #' #' data(Banespa) diff --git a/R/Bebida.R b/R/Bebida.R index de9bf2f6..82f0c5b5 100644 --- a/R/Bebida.R +++ b/R/Bebida.R @@ -3,13 +3,12 @@ #' @description Dados sobre a produção física industrial (PFI), de #' alimentação e bebidas elaboradas, do Brasil. As observações são #' mensais e referem-se ao período de Janeiro de 1985 a Julho de -#' 2000. [DE QUE SE REFERE ESSA DESCRIÇÃO? CORRIGIR?] +#' 2000. #' @format Uma série temporal (classe \code{ts}), com 187 observações #' mensais de Janeiro de 1985 a Julho de 2000. #' @keywords TS -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série -#' A8 - Índices, mencionada em diversas páginas) +#' @source MORETTIN, TOLOI (2006), Série A8 - Índices, mencionada +#' em diversas páginas. #' @examples #' #' data(Bebida) diff --git a/R/Cemig.R b/R/Cemig.R index 405a51cb..01ed78a3 100644 --- a/R/Cemig.R +++ b/R/Cemig.R @@ -9,9 +9,8 @@ #' @seealso \code{\link{Banespa}}, \code{\link{Globo}}, #' \code{\link{IBV}}, \code{\link{Petro}} e \code{\link{TAM}}. #' @keywords TS TSI -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série -#' A9 - Mercado Financeiro, mencionada em diversas páginas) +#' @source MORETTIN, TOLOI (2006), Série A9 - Mercado Financeiro, +#' mencionada em diversas páginas. #' @examples #' #' data(Cemig) diff --git a/R/Consumo.R b/R/Consumo.R index 33a1a2c3..6ed80144 100644 --- a/R/Consumo.R +++ b/R/Consumo.R @@ -6,9 +6,8 @@ #' @format Uma série temporal (classe \code{ts}), com 154 observações #' mensais, de Janeiro de 1984 a Outubro de 1996. #' @keywords TS -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série -#' A11 - Consumo, mencionada em diversas páginas) +#' @source MORETTIN, TOLOI (2006), Série A11 - Consumo, mencionada +#' em diversas páginas. #' @examples #' #' data(Consumo) diff --git a/R/Energia.R b/R/Energia.R index f619746a..0d2d1951 100644 --- a/R/Energia.R +++ b/R/Energia.R @@ -7,10 +7,8 @@ #' @format Uma série temporal (classe \code{ts}), com 141 observações #' mensais de Janeiro de 1968 a Setembro de 1979. #' @keywords TS -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A5 - Energia, mencionada em diversas -#' páginas) +#' @source MORETTIN, TOLOI (2006), Série A5 - Energia, mencionada +#' em diversas páginas. #' @examples #' #' data(Energia) diff --git a/R/Fortaleza.R b/R/Fortaleza.R index bc11b4d3..433885ef 100644 --- a/R/Fortaleza.R +++ b/R/Fortaleza.R @@ -5,9 +5,8 @@ #' @format Uma série temporal (classe \code{ts}), com 149 observações #' anuais de 1849 a 1997. #' @keywords TS -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série -#' A3 - Chuva, mencionada em diversas páginas) +#' @source MORETTIN, TOLOI (2006), Série A3 - Chuva, mencionada em +#' diversas páginas. #' @examples #' #' data(Fortaleza) diff --git a/R/Globo.R b/R/Globo.R index 5b20a376..69690eca 100644 --- a/R/Globo.R +++ b/R/Globo.R @@ -9,9 +9,8 @@ #' @seealso \code{\link{Banespa}}, \code{\link{Cemig}}, \code{\link{IBV}}, #' \code{\link{Petro}} e \code{\link{TAM}}. #' @keywords TS TSI -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série -#' A9 - Mercado Financeiro, mencionada em diversas páginas) +#' @source MORETTIN, TOLOI (2006), Série A9 - Mercado Financeiro, +#' mencionada em diversas páginas. #' @examples #' #' data(Globo) diff --git a/R/IBV.R b/R/IBV.R index fcc97c59..a5047e33 100644 --- a/R/IBV.R +++ b/R/IBV.R @@ -10,9 +10,8 @@ #' @seealso \code{\link{Banespa}}, \code{\link{Cemig}}, #' \code{\link{Globo}}, \code{\link{Petro}} e \code{\link{TAM}}. #' @keywords TS TSI -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série -#' A9 - Mercado Financeiro, mencionada em diversas páginas) +#' @source MORETTIN, TOLOI (2006), Série A9 - Mercado Financeiro, +#' mencionada em diversas páginas. #' @examples #' #' data(IBV) diff --git a/R/IBVSP.R b/R/IBVSP.R index 15ada899..56d3d123 100644 --- a/R/IBVSP.R +++ b/R/IBVSP.R @@ -5,9 +5,8 @@ #' @format Uma série temporal (classe \code{ts}), com 87 observações #' mensais de Junho de 1994 a Agosto de 2001. #' @keywords TS -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série -#' A9 - Mercado Financeiro, mencionada em diversas páginas) +#' @source MORETTIN, TOLOI (2006), Série A9 - Mercado Financeiro, +#' mencionada em diversas páginas. #' @examples #' #' data(IBVSP) diff --git a/R/ICV.R b/R/ICV.R index 03caadaa..1bc6155f 100644 --- a/R/ICV.R +++ b/R/ICV.R @@ -6,9 +6,8 @@ #' @format Uma série temporal (classe \code{ts}), com 126 observações #' mensais de Janeiro de 1970 a Outubro de 1980. #' @keywords TS -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série -#' A10 - M-ICV, mencionada em diversas páginas) +#' @source MORETTIN, TOLOI (2006), Série A10 - M-ICV, mencionada em +#' diversas páginas. #' @examples #' #' data(ICV) diff --git a/R/IPI.R b/R/IPI.R index 4184f5c6..2ca5f735 100644 --- a/R/IPI.R +++ b/R/IPI.R @@ -6,9 +6,8 @@ #' @format Uma série temporal (classe \code{ts}), com 187 observações #' mensais de Janeiro de 1985 a Julho de 2000. #' @keywords TS -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série -#' A8 - Índices, mencionada em diversas páginas) +#' @source MORETTIN, TOLOI (2006), Série A8 - Índices, mencionada em +#' diversas páginas. #' @examples #' #' data(IPI) diff --git a/R/Lavras.R b/R/Lavras.R index 3f076d09..5e27ed17 100644 --- a/R/Lavras.R +++ b/R/Lavras.R @@ -6,9 +6,8 @@ #' @format Uma série temporal (classe \code{ts}), com 384 observações #' mensais de Janeiro de 1966 a Dezembro de 1997. #' @keywords TS -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série -#' A3 - Chuva, mencionada em diversas páginas) +#' @source MORETTIN, TOLOI (2006), Série A3 - Chuva, mencionada em +#' diversas páginas. #' @examples #' #' data(Lavras) diff --git a/R/Manchas.R b/R/Manchas.R index 44b5e03a..1894b67f 100644 --- a/R/Manchas.R +++ b/R/Manchas.R @@ -5,9 +5,8 @@ #' @format Uma série temporal (classe \code{ts}), com 176 observações #' anuais de 1749 a 1924. #' @keywords TS -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série -#' A2 - Manchas, mencionada em diversas páginas) +#' @source MORETTIN, TOLOI (2006), Série A2 - Manchas, mencionada em +#' diversas páginas. #' @examples #' #' data(Manchas) diff --git a/R/MorettinTb4.12.R b/R/MorettinTb4.12.R index 8a86aee2..5c2ed897 100644 --- a/R/MorettinTb4.12.R +++ b/R/MorettinTb4.12.R @@ -1,12 +1,13 @@ #' @name MorettinTb4.12 #' @title Vendas de Óleo Lubrificante -#' @description Dados das quantidades de vendas de óleo lubrificante -#' [ONDE? BRASIL, SP?]. A série é referente aos meses de Janeiro de -#' 1975 a Dezembro de 1978. +#' @description Dados das quantidades de vendas de óleo lubrificante, +#' em região não informada. A série é referente aos meses de +#' Janeiro de 1975 a Dezembro de 1978. #' @format Uma série temporal (classe \code{ts}), com 48 observações, #' mensais de Janeiro de 1975 a Dezembro de 1978. #' @keywords TS #' @source MORETTIN, TOLOI (2006), Tabela 4.12, pág. 101. +#' @references MONTGOMERY, JOHNSON (1976). #' @examples #' #' data(MorettinTb4.12) diff --git a/R/Ozonio.R b/R/Ozonio.R index bf1f7de7..80975d10 100644 --- a/R/Ozonio.R +++ b/R/Ozonio.R @@ -6,9 +6,8 @@ #' @format Uma série temporal (classe \code{ts}), com 180 observações #' mensais de Janeiro de 1956 a Dezembro de 1970. #' @keywords TS -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série -#' A4 - Ozônio, mencionada em diversas páginas) +#' @source MORETTIN, TOLOI (2006), Série A4 - Ozônio, mencionada em +#' diversas páginas. #' @examples #' #' data(Ozonio) diff --git a/R/PFI.R b/R/PFI.R index c664bec6..75d65670 100644 --- a/R/PFI.R +++ b/R/PFI.R @@ -6,9 +6,8 @@ #' @format Uma série temporal (classe \code{ts}), com 115 observações #' mensais de Janeiro de 1991 a Julho de 2000. #' @keywords TS -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série -#' A8 - Índices, mencionada em diversas páginas) +#' @source MORETTIN, TOLOI (2006), Série A8 - Índices, mencionada em +#' diversas páginas. #' @examples #' #' data(PFI) diff --git a/R/PIB.R b/R/PIB.R index 51717239..d0aabd16 100644 --- a/R/PIB.R +++ b/R/PIB.R @@ -5,9 +5,8 @@ #' @format Uma série temporal (classe \code{ts}), com 126 observações #' anuais de 1861 a 1986. #' @keywords TS -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série -#' A8 - Índices, mencionada em diversas páginas) +#' @source MORETTIN, TOLOI (2006), Série A8 - Índices, mencionada em +#' diversas páginas. #' @examples #' #' data(PIB) diff --git a/R/Petro.R b/R/Petro.R index 1b25404d..7378c849 100644 --- a/R/Petro.R +++ b/R/Petro.R @@ -10,9 +10,8 @@ #' @seealso \code{\link{Banespa}}, \code{\link{Cemig}}, #' \code{\link{Globo}}, \code{\link{IBV}} e \code{\link{TAM}}. #' @keywords TS TSI -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série -#' A9 - Mercado Financeiro, mencionada em diversas páginas) +#' @source MORETTIN, TOLOI (2006), Série A9 - Mercado Financeiro, +#' mencionada em diversas páginas. #' @examples #' #' data(Petro) diff --git a/R/Poluentes.R b/R/Poluentes.R index 68ade7ee..3af433f4 100644 --- a/R/Poluentes.R +++ b/R/Poluentes.R @@ -13,26 +13,24 @@ #' \describe{ #' #' \item{\code{PM10}}{Partículas inaláveis de diâmetro inferior a 10 -#' micrometros (\eqn{PM_{10}}), valores mensurados em VER A ESCALA -#' DE MENSURAÇÂO.} +#' micrometros (\eqn{PM_{10}}), sem unidade de medida.} #' -#' \item{\code{SO2}}{Dióxido de enxofre (\eqn{SO_2}), valores mensurados -#' em VER A ESCALA DE MENSURAÇÂO.} +#' \item{\code{SO2}}{Dióxido de enxofre (\eqn{SO_2}), sem unidade de +#' medida.} #' -#' \item{\code{CO}}{Monóxido de carbono (\eqn{CO}), valores mensurados -#' em VER A ESCALA DE MENSURAÇÂO.} +#' \item{\code{CO}}{Monóxido de carbono (\eqn{CO}), sem unidade de +#' medida.} #' -#' \item{\code{O3}}{ozônio troposférico (\eqn{O_3}), valores mensurados -#' em VER A ESCALA DE MENSURAÇÂO.} +#' \item{\code{O3}}{Ozônio troposférico (\eqn{O_3}), sem unidade de +#' medida.} #' -#' \item{\code{NO2}}{Dióxido de nitrogênio (\eqn{NO2}), valores mensurados -#' em VER A ESCALA DE MENSURAÇÂO.} +#' \item{\code{NO2}}{Dióxido de nitrogênio (\eqn{NO2}), sem unidade +#' de medida.} #' #' } #' @keywords TS MTS -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série -#' A6- Poluição, mencionada em diversas páginas) +#' @source MORETTIN, TOLOI (2006), Série A6- Poluição, mencionada em +#' diversas páginas. #' @examples #' #' data(Poluentes) diff --git a/R/SP.R b/R/SP.R index f77e5161..72d03842 100644 --- a/R/SP.R +++ b/R/SP.R @@ -2,17 +2,14 @@ #' @title Índice Standard & Poor's 500 #' @description Dados sobre o Índice Standard & Poor's 500 - S&P 500. #' Índice do mercado acionário norte-americano baseado em 500 ativos -#' de empresas com ações listadas nas bolsas de NYSE ou -#' NASDAQ. Série de valores mensais no período de Julho de 1994 a -#' Agosto de 2001 [VERIFICAR PERIODO, O OBJETO R DIZ UMA COISA E A -#' DESCRICAO OUTRA]. +#' de empresas com ações listadas nas bolsas de NYSE ou NASDAQ. +#' Série de valores mensais no período de Julho de 1994 a Agosto de +#' 2001. #' @format Uma série temporal (classe \code{ts}), com 87 observações -#' mensais, de Julho de 1994 a Agosto de 2001 [VERIFICAR PERIODO, O -#' OBJETO R DIZ UMA COISA E A DESCRICAO OUTRA]. +#' mensais, de Julho de 1994 a Setembro de 2001. #' @keywords TS -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série -#' A9 - Mercado Financeiro, mencionada em diversas páginas) +#' @source MORETTIN, TOLOI (2006), Série A9 - Mercado Financeiro, +#' mencionada em diversas páginas. #' @examples #' #' data(SP) diff --git a/R/TAM.R b/R/TAM.R index 8ffa9208..ab78d526 100644 --- a/R/TAM.R +++ b/R/TAM.R @@ -9,9 +9,8 @@ #' @seealso \code{\link{Banespa}}, \code{\link{Cemig}}, #' \code{\link{Globo}}, \code{\link{IBV}} e \code{\link{Petro}}. #' @keywords TS TSI -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard Blucher. (Série -#' A9 - Mercado Financeiro, mencionada em diversas páginas) +#' @source MORETTIN, TOLOI (2006), Série A9 - Mercado Financeiro, +#' mencionada em diversas páginas. #' @examples #' #' data(TAM) diff --git a/R/Temperatura.R b/R/Temperatura.R index 4950084d..29256431 100644 --- a/R/Temperatura.R +++ b/R/Temperatura.R @@ -8,10 +8,8 @@ #' observações mensais de Janeiro de 1976 a Dezembro de 1985, das #' temperaturas em \code{Cananeia} e \code{Ubatuba}. #' @keywords TS MTS -#' @source Morettin, P. A., Toloi, C. M. C. (2006). Análise de Séries -#' Temporais (2nd ed.). São Paulo, SP: Editora Egard -#' Blucher. (Série A1 - Temperatura, mencionada em diversas -#' páginas) +#' @source MORETTIN, TOLOI (2006), Série A1 - Temperatura, mencionada +#' em diversas páginas. #' @examples #' #' data(Temperatura) diff --git a/data-raw/MorettinTb4.12.txt b/data-raw/MorettinTb4.12.txt index 05e42212..1242821d 100644 --- a/data-raw/MorettinTb4.12.txt +++ b/data-raw/MorettinTb4.12.txt @@ -1,49 +1,85 @@ x -317 -460 -538 -626 -194 -395 -570 -690 -312 -392 -600 -680 -316 -447 -565 -673 -322 -452 -485 -613 -322 -452 -604 -744 -317 -517 -527 -718 -356 -397 -603 -767 -428 -410 -604 -728 -411 -579 -790 -793 -494 -473 -714 -726 -412 -558 -653 -777 +133.8 +124.9 +122.8 +135.8 +164.8 +168.5 +168.4 +187.3 +156.1 +164.2 +170.4 +164.3 +153.4 +140.6 +142.7 +157.9 +169.9 +165.5 +163.5 +200.4 +173.8 +168 +156.4 +201.1 +172 +132 +177 +164 +171 +195 +200 +214 +226 +259 +306 +291 +239.4 +230.7 +277.4 +251.4 +260.2 +282.3 +278 +291.4 +288 +297 +252.9 +296.8 +258.6 +292.4 +332.2 +312.1 +361.6 +385 +338.6 +404 +347 +397.9 +400.4 +400.5 +370.7 +390.3 +405.3 +418.2 +479.2 +436.9 +534.1 +588.7 +520.1 +696.7 +626.4 +725.6 +773.5 +827.6 +923.2 +907.4 +1212.5 +988.2 +1191.3 +1228 +1102 +1223 +1136.1 +1128.5 -- GitLab