Документ взят из кэша поисковой машины. Адрес оригинального документа : http://herba.msu.ru/shipunov/software/r/rrefc-ru.pdf Дата изменения: Sun Oct 20 00:22:36 2002 Дата индексирования: Tue Oct 2 00:09:53 2012 Кодировка:

R (J. Baron) . , , v.18.10.2002 x1 , ...(): q(): <- =: INSTALL package1: package1 mat1[,2]: 2 mat1 mat1[,2:5] mat1[,c(2,3,4,5)]: 2­5 list1[[-5]]: , , list1 df1$a1: a1 df1 NA: is.na(x1): , x1==NA library(mva): () mva apropos("topic1"): , topic1 args(com1): com1 example(com1): com1 help(com1) ?com1: com1 , ! help(package=rpart): () rpart help.search("topic1"): topic1 help.start(): HTML- obj2 <- edit(obj1): obj1 , options(), obj2 fix(obj1): , fix(df1): df1 read.table("file1"): save(file="file1", list=ls() load("file1"): setwd(...) dir(): , sink("file1"): file1 sink() source("file1"): file1 write.table(x1,"file1"): x1 file1 1:3 c(1,2,3): 1,2,3 rep(x1,n1): x1 n1 sample(x1): x1 attach(x1): x1 detach(x1): x1 ls(): rm(obj1): obj1 dim(mat1): mat1 dimnames(mat1), names(df1) row.names(df1): mat1 df1 length(v1): v1 str(obj1): obj1 as.data.frame(x1), as.matrix(x1), as.vector(x1): x1 cbind(a1,b1,c1), rbind(a1,b1,c1): cut(v1, c(0,100,200), labels=c("small", "big")): v1 data.frame(v1,v2): v1 v2

matrix(vector1,r1,c1): vector1 r1 c1 merge(df1,df2): t(mat1): grep("topic1",x1): topic1 x1 paste("cow","boy",sep=""): "cowboy" unique(x1): x1 if (condition1) ...else ...: for (i1 in vector1) command1: command1 f1 <- function(x) {...}: f1 !<, &, |: " ", "", "" *, %/%, %%, ^, sqrt(pi), abs(-3), : , , , , 3 x1 %in% x2, match(x1,x2): x1 x2 is.factor(obj1), is.matrix(obj1), is.vector(obj1): obj1 mat1[mat1>0]: mat1 round(x1): summary(obj1): IQR(x1), cumsum(x1), diff(x1), fivenum(x1), mad(x1), max(x1), mean(x1), median(x1), min(x1), prod(x1), sd(x1), sum(x1), var(x1): aggregate(...): "" apply(x1,n1,f1): f1 (, mean) x (n1=1) (n2=2) ave(x1,y1): x1, y1 rank(x1), rev(x1), order(x1), scale(x1), sort(x1): , , , , subset(...): table(x1,x2): tapply(x1,list1,f1): f1 x1, list1 ks.test(...), prop.test(...), t.test(...), wilcox.test(...): chisq.test(mat1): 2 mat1 cor(df1): cor.test(x1,x2): lm(...), glm(...), aov(...), anova(...): , mva cmdscale(...): hclust(...): princomp(...): plot(...), barplot(...), boxplot(...), stem(...), hist(...): identify(...): lines(...), points(...): png("file1"): file1 dev.off() text(locator(), "txt1"): txt1 coplot(v1 ~ v2 | v3): matplot(mat1,mat2): pairs(df1): qqnorm(...): MASS, ts, cluster, e1071, xtable, vegan, Hmisc