From 75b0efd57483fe32fa626f85385a10ff05c124ad Mon Sep 17 00:00:00 2001 From: Walmes Zeviani <walmes@ufpr.br> Date: Mon, 22 Aug 2016 00:05:18 -0300 Subject: [PATCH] =?UTF-8?q?Adiciona=20documenta=C3=A7=C3=A3o=20da=20tabela?= =?UTF-8?q?=20de=20keywords.?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- R/keywords.R | 34 ++++++++++++++++++++++++++++++++++ data/keywords.rda | Bin 0 -> 2784 bytes 2 files changed, 34 insertions(+) create mode 100644 R/keywords.R create mode 100644 data/keywords.rda diff --git a/R/keywords.R b/R/keywords.R new file mode 100644 index 00000000..fdd702bc --- /dev/null +++ b/R/keywords.R @@ -0,0 +1,34 @@ +#' @name keywords +#' @title Keywords para Classificar os Conjuntos de Dados +#' @description As keywords servem para classificar os conjuntos de +#' dados por características que definem, geralmente, o tipo de +#' análise a ser aplicada aos dados. Isso orienta os estudantes e +#' professores a escolherem os conjuntos de dados para listas de +#' exercício, por exemplo. +#' @format Um \code{data.frame} com 596 observações e 2 variáveis, em +#' que +#' +#' \describe{ +#' +#' \item{\code{name}}{Nome do conjunto de dados no pacote labestData.} +#' +#' \item{\code{keyword}}{Keyword atribuída ao conjunto de dados.} +#' +#' } +#' @examples +#' +#' data(keywords) +#' str(keywords) +#' +#' library(lattice) +#' +#' tb <- table(keywords$keyword) +#' +#' barchart(sort(tb), +#' ylab = "Keyword", +#' xlab = "Frequência absoluta") +#' +#' subset(keywords, keyword == c("DBI")) +#' subset(keywords, keyword %in% c("proporção", "contagem")) +#' +NULL diff --git a/data/keywords.rda b/data/keywords.rda new file mode 100644 index 0000000000000000000000000000000000000000..aad0d2e90dd696b5e7aa19a85b8e26f7935b28b0 GIT binary patch literal 2784 zcmZ>Y%CIzaj8qGb%z1Yxm_hXB|11At;N9N~_V53HaA4qA!ok46{D4<qL2mo@72)gq z4lo}0#qYp#)<18%+~f1nH;h7gO*~tKeWlc9&30S9(BIcT@Tu*}CCR~G{Wa=*0~i<> znB5#sWSE>_^;C9XT)>dQz{|kazyJb_lYJ&vH5wW)%n)W^VDMoOY<9?CU|?YKRhlqs z7FSw8Rl|iZ4h+1!AhjUe<?FU=rdGA9`2sal<;$8|O+L*Fe9Gg#;=*MI#swL?3=Ae2 z9Ft~=oSMI?ex;3Pm)TWY1vbZ5nalbE7uY&5FkE0@U^r0_n^!aU<N{rd%p2LVNi5qh zg*aI1ty1e1Tditc;nc>l=U&S>sZTA}QskB}y;jlMxhK~%uyTP*J)g^>Rqra)&S^y` z#pSS+DSCYjI^n!DRN(NjgmRe%2IIyv9w8iTzA@hv&f2O>c{=$%ldO53lTEvUvbDzQ z`gNPmeS9wO@^sxkjZ0h{UsemX8P1%0>1n#RcJqY(ChuF!^Okq&)#NgS2rQ3%Cv|XE z(&^MGc8iS!&&%W=-tz9n+qo=uKcn6UyDY4qoprNS_K>*WWz)k&SGO}ii1`{O8+OFk zYTus_)6?Gqs~z7RmwVJwQ}BkJcb{BuO|ilY^Hm`dUQ*#X8_g`EIn%hG&fF$ax?8`y zeM;anwzNR+nUmQU-nx8>Q>4VZx_q79%lVsnlfH_WDosAKQSlmA!Vdm~2bTGo3W*cu z^eJ&KH+gvV$%ofXuOA$_@#JUI`4)qp(@#$MwykE4WrbDYp3MjM>G7L<40f#!3ZI?J zb>vZ$^yPVbqEDEAb@yJKBCZ*rY4SRR@5=5w6OPV*`M%=+{#Zfbt}Qk5-MZvLl6Oz5 zoA*^f&{;hD&f9-st4ba+t7tN`zc4+v;FyG~t4v|*0}rMg2395cuaD9hVst_$Cj9WK zWoUdpp~s;s`oZtDzjhzY+SIqMBY*CmOY0xkbUmEZF2=QDUFf{bI~R^z6wnAbWXF}O z_VDgImss|g9kUlomWyfm@I}mMzP~ff|JvIVOAo3n5Gh>fbMUByk0#63(zdYTJBl8M zmdw3YRJlBNiZRQFTiaK!6h9~@?WrjB^3#g68QY)#h)H#G3(ah^)nR(KSzUE)8k4L^ z6i1MZR~)b8_NAs}@ADL{Xa+a_m}(^=XyVEtq^0QMa#pF^YMy-U7a5Cn&$}x4WWuWt z_Z({Yet?x#=H;D-*3*g}^-3u{Uq5sDiKDJTlf9PCz3TYmg2kh}Pss)u&+-}PFuj>H zbHf%U9kD_su9OEJFT2mZJea|}-6~S?(wrW-i7$3IcW|wdaCT+tnX#8m_|%M-*O*?e z$k6BU$v;2q^@d41AFU5yoFL>N;-tmVepYOfkw)327hPOml(bZunkBe@IEHg{EM2sq zr-|ctyW2#8+|;`XLc7+t?$V#la+vjWuG4obH=h$O=eb1OWQxNMUD|B2S4&(e@(6cI zBa4@wj7_%;izD0BOHJQ=Is{nM4t!d3_^yE`Yq(y*Stp;#8#pdZf2hl(Vz<R&o7$B< zC$49*&boGYhwFtMR~OB3Rrs0u)zA4Nzta-8m;Al`()oHkd$z3<Z+z9VymljtYxISQ zIxWj@3Yoho3omk8xViDzf{(%*8jd`eyim#0PwusWi*)ctr?}4TtF#_+XRH*_(TFhH z=Gx$Nu#vN2!t%S;W@_eI6B@;GB5t4FeRumd0cEzsw@-8IOr5bhIYC=U>#K;y>29$} zV$7G%bX6JhInSJu=-pYQazZh~ndy3F4$}iA9|h;lJC1LP@m|fXAhxQ|$6=4p5wS%s zo8R8(F_3kWWWBXv$LSe`!UE5F!&)>#`P#ofV@Q`!5#UU56cy}}?P<Eka``;-?eF%- z1is6BXP9#_Az|939uEClMJ<=lY+-T^&I`EC2G`7<Wu2vaC}!oHcY2dHC-S-76*x4- zbCTf}qZ3oabY`qq)<`*Al4!Qj?d}2XrPDH(Ia#otZ1&8abSj<6Po1IAVA7;HLX&hR zo$^+hta358K-{Ly!|U**wH$KtT9ZZBth}A`>9K0a5tj6JTlciZ4Cg*iV_FgD%B9Am zyZ6Z|lhX#p+|yp=&D=Rjl$GhFQ-6i^^+^TByIK=;tZr%D3V3yD!<#2YGaRxE+mrl$ z&UkdVtsv%(MN#5mqlbCZ@>{=8(`j^l`}4x#eC;!;QW-l+Tvlv$j`q|%w>OnzDUa2= z-P4)guGQQ+vwC`i$#Us~$L2`#J-0PnY-KFrE_~p@qX02&Yc5%<G|xr3vXQ$rbM`h) zdiSzpj<n{nBWHv(5Bdl<&25~0`(XMM9_yaDk*j*VPcOcnczDXDB{$pJ(!<_!9&CFz zE7wBpX;`m!vy0}5*Sks|m6yzmyx(WZ9GLCWeR)U8>$^KXid>VPId`YSIql_!n#ZMX zSRT-m^h!8uRCbu>(Y<>rT0XZ=EcTi7ATFIvCUNJCw8ZR#w@)`ODoQclnbD+FwD^p7 z7ca-GrAlf(4w`#^_uUss`}E^;M1haV-}VJIcZ)ZkoGLE%@QhNq-BZQ4+)m44*Xr3C zZf0(O@u0O$kYkf!*URTqUdyt}U7S_%dFK2TvnM=Ru(OI$;B-N`>#uV`9{B<-jn%79 z+&PthZtBAgwJ)lsCH{@ba&7zhy`^OLmSaZSHS@v_h6iRZJ#wjU5sODb-1Z$jstMZ- zcO7P9%ix^YW@_%B$K%DSDl~a!SyqfsnR&O1yWly+I`jU^W%H6B+8CHAN30c=J0X2F zI;1#F@8yGI%XqI%-ue5>5A~@}#1ANPcn8P$?kneyH%>cZ$XvQ;hFj~>EEbOEJdZig zGv_vTv<E0n%*xuZqxYz%xLK~w_l1lqF59gyJk7i*>lS3m$fnY%C6MT$T%-Dc?P;as z<?ht0mKD!$iUc%B_p>a`UUkV)Wy(kWo-><|_lkV>-5{2?r8TL$YspG4o+gcnZ6Dw6 zc^7o~oasH+<!p0~oGH}HUUU1>3_jmyvCmtsyvQrL+`i<rL%^}4Sx$To(;TjH@*4X& zPt#4Fd_1p%X^vD`x#!u47LG|OPJ%5=#aV7F{;yXrpS=9?N8YNtiH*!cD<p+fB1Kh# z&hoBXuwe@8x}{SN3BBGw&+5tHI6ZZlFClUd9XInUaf(mpmyPjQcuJ|P+9dQbd)RMB zxt}cW?th+{clK|`91YI3>yId{``_9de#ZRGmrq9%>kAZ|>k2wQYZqO<!PnXLu0cTA z*F>3(Ez-a>@5zdO{YF=90Y{F!E|Z(*PhJ+#tYgr<y_C`Ej?&%2`ML^yz2Y50JNl-( zz1NpZ7m!`!;V5CyDRD@Xk%dv9_seb-=k+0it?Uu*S{tjZ1eYo025j5<jq%^QhZjVO zv%fn!aWn9>b8R{GLPO@ERBXrd7c*TyR#~MPx;HqODn_|nGuu{ts#(-9N84LORv=(4 zSC^qw!$PNv%ymZs4joO|b~r~O^ca^2-?G}<dHbe6VJVoJ8|cAVdx3SzqTE-n-ra6n z6J6fP^HJewkH<--L#m=|%uGhEegD?Q$4Dlpalf7szgOb@6|uvzFZ@33h_u={M}6*x z@8&H<9G||uUO#)k;Pj=|T$|QzEa>anD|<Stw~$F>LO_GN)Te~)=VHTFZcgo9^j2X4 z*QvK_qR;)V=h5YTrReeM#mmTk2KOAdRPL)1JEQZJ4tu!Vyx-ls>lhPTqVQS)VcF=L yY34@P=jZpW*gmCziF4l5tW1u%^`Z6`|L=LT_2QoYdbL`?|HX@3EdnNhTC@P5r|=*E literal 0 HcmV?d00001 -- GitLab