Try this: A <- data.frame(subject = suba, a) B <- data.frame(subject = subb, b) merge(A, B, all = TRUE)[-1]
Omit all = TRUE if you only want matches, i.e. no rows with NAs, and omit [-1] if you want an extra column giving the subject. On 10/21/07, gallon li <[EMAIL PROTECTED]> wrote: > I have two vectors for values collected from a group of subjects, say > > a=c(100,200,150,120,140,180) > > b=c(200,300,420,130) > > I also have two vectors which indicate the corresponding subjects for a and > b, say > > for a, the subjects are > > suba=c(1,2,3,4,5,6) > > for b, the subjects are > > subb=c(1,3,5,6) > > Then, I want to find out the paired values from a and b, such as (100, 200) > (from subject 1), (150,300) (from subject 3), (140, 420) (from subject 5) > ..... > > How can I do this in R? Can somebody drop a hint here? > > [[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. > ______________________________________________ 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.
