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Walmes Marques Zeviani
mpaer
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1c2cc7b8
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1c2cc7b8
authored
3 years ago
by
Walmes Marques Zeviani
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Adds comparison between aov and lmer classes.
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50-parcela-subdividida.Rmd
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@@ -579,3 +579,97 @@ do.call(rbind, lht)
# Pooled Error 30.74135 687742.4 22371.90
#--------------------------------------------
```
# AOV vs LMER
```{r}
#-----------------------------------------------------------------------
# {emmeans} aceita `aov` e `lmer`.
data(warpbreaks)
str(warpbreaks) # Analisar como parcela subdividida para demonstração.
library(lme4)
library(lmerTest)
library(emmeans)
data(Soybean, package = "nlme")
str(Soybean)
# Um recorte dos dados com todos fatores categóricos.
my_data <- subset(Soybean, Year == 1990 & Time > 50)
my_data <- transform(my_data, Time = factor(Time))
lattice::xyplot(weight ~ Time | Variety,
groups = Plot,
data = my_data,
type = c("p", "a"))
# Modelo de efeitos aleatórios por REML.
m0 <- lmer(weight ~ Variety * Time + (1 | Plot),
data = my_data)
anova(m0)
# Mesmo modelo mas por mínimos quadrados.
m1 <- aov(weight ~ Variety * Time + Error(Plot),
data = my_data)
summary(m1)
#--------------------------------------------
# Efeito principal de variedade.
emm0 <- emmeans(m0, spec = ~Variety)
emm1 <- emmeans(m1, spec = ~Variety)
emm0
emm1
contrast(emm0, method = "pairwise")
contrast(emm1, method = "pairwise")
multcomp::cld(emm0, Letters = letters)
multcomp::cld(emm1, Letters = letters)
#--------------------------------------------
# Efeito principal de tempo.
emm0 <- emmeans(m0, spec = ~Time)
emm1 <- emmeans(m1, spec = ~Time)
emm0
emm1
contrast(emm0, method = "pairwise")
contrast(emm1, method = "pairwise")
multcomp::cld(emm0, Letters = letters)
multcomp::cld(emm1, Letters = letters)
#--------------------------------------------
# Desdobramento de tempo dentro de variedade.
emm0 <- emmeans(m0, spec = ~Time | Variety)
emm1 <- emmeans(m1, spec = ~Time | Variety)
emm0
emm1
contrast(emm0, method = "pairwise")
contrast(emm1, method = "pairwise")
multcomp::cld(emm0, Letters = letters)
multcomp::cld(emm1, Letters = letters)
#--------------------------------------------
# Desdobramento de variedade dentro de tempo.
emm0 <- emmeans(m0, spec = ~Variety | Time)
emm1 <- emmeans(m1, spec = ~Variety | Time)
emm0
emm1
contrast(emm0, method = "pairwise")
contrast(emm1, method = "pairwise")
multcomp::cld(emm0, Letters = letters)
multcomp::cld(emm1, Letters = letters)
#-----------------------------------------------------------------------
```
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