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...stinfo/r-help<https://stat.ethz.ch/mailman/listinfo/r-help> > PLEASE do read the posting guide http://www.R-project.org/** > posting-guide.html <http://www.R-project.org/posting-guide.html> > and provide commented, minimal, self-contained, reproducible code. > -- Charles Stangor Professor and Associate Chair [[alternative HTML version deleted]]

Why does the subset not work in the which() version below? Thank you v1 <- subset(t1, version_1==as.character("100-1") | version_1==as.character("100-2")) a<-c("100-1", "100-2") v1 <- subset(t1, which(a==as.character(version_1)) != 0) [[alternative HTML version deleted]]

Why does this sapply code change df3 but not df1? Thanks df1 <- read.table(text=" cola colb colc cold cole 1 NA 5 9 NA 17 2 NA 6 NA 14 NA 3 3 NA 11 15 19 4 4 8 12 NA 20 ", header=TRUE) df2 <-df1*2 df1 df2 df3 <-sapply(names(df1),function(x) {df1[[x]]<- df2[[x]]}) df1 df3 [[alternative HTML version deleted]]

Say I want to perform transformations on row subsets of my dataframe. Do I have to break the dataframe into subsets, perform the analysis on each subset, and rbind() them together again? ..or is there another way. Thank you! [[alternative HTML version deleted]]

Hi, I have two dataframes: The first, df1, contains some missing data: cola colb colc cold cole 1 NA 5 9 NA 17 2 NA 6 NA 14 NA 3 3 NA 11 15 19 4 4 8 12 NA 20 The second, df2, contains the following: cola colb colc cold cole 1 1.4 0.8 0.02 1.6 0.6 I'm wanting all missing data in df1$cola to be replaced by the value of df2$cola.