It's very simple to do this in steps: > # to make separate dataframes > df <- data.frame(A=1:5, B=11:15) > df.sample <- c(1,3,4) > df[df.sample, ] A B 1 1 11 3 3 13 4 4 14 > df[-df.sample, ] A B 2 2 12 5 5 15 > > # or a list with two components > split(df, 1:nrow(df) %in% df.sample) $`FALSE` A B 2 2 12 5 5 15
$`TRUE` A B 1 1 11 3 3 13 4 4 14 Sarah On Thu, Jun 23, 2011 at 12:12 PM, Paul Tanger <paul.tan...@colostate.edu> wrote: > Hi, > > I seemingly have a simple problem, but I've spend hours reading guides & > posts on this forum and I can't seem to piece together what I need. > I have a dataframe where I want to divide it into two subsets: a sample, and > the remainder of the dataframe in a new frame. > I've tried this: > > split(df, sample(nrow(df), size=100, replace=FALSE)) > > another way would be to make a new dataframe of my sample and (something I > can do in SQL but not R) then select rows that are NOT in the sample > dataframe. > > Thanks for any help! > > [[alternative HTML version deleted]] > -- Sarah Goslee http://www.functionaldiversity.org ______________________________________________ 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.
