Justin, try
subset(dat, treatment %in% vec) I guess thats what you want. On Fri, May 2, 2008 at 8:40 PM, <[EMAIL PROTECTED]> wrote: > Dear list: > > I have a problem using the subset function: > > dat<- data.frame(treatment=c("A", "B", "A", "C", "C", "D", "A", "D", > "C", "D"), response=rnorm(10)) > > I am interested in treatments "A", "B" and "D" > vec<- c("A", "B", "D") > > But I can only obtain what I want with: > subset(dat, treatment=="A" | treatment=="B" | treatment=="D") > > What's wrong with > subset(dat, treatment==vec) > > It would be much more simple to compute the latter in a rather complex > dataframe. > Thanks in advance > Justin > -- > > [EMAIL PROTECTED] > > -- > > ______________________________________________ > 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. > -- HTH/Best, Jim Porzak Responsys, Inc. San Francisco, CA http://www.linkedin.com/in/jimporzak [[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.