Hello - I am looking for a function that would allow me to replace specific columns in one data frame with columns in another data frame using a grouping variable.
df <- read.csv("data.csv", header=T) df1 <- aggregate(df[, c(8,9,10,11,12,27,28)], by=list(df$ID), FUN=function(x) sub("(.*):", "\\1.", x)) How do I replace columns (8,9,10,11,12,27,28) in df with those from df1 using the ID column? Thank you, Alecia [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.