THX Jim, that works just fine. I had to play with it a little, so taht it fitted my expectations but the idee of using merge was very good.
Assa On Tue, May 11, 2010 at 13:55, jim holtman <jholt...@gmail.com> wrote: > ?merge > > Here is what you would do: > > x1 <- read.table('/tmp/list1.txt', header=TRUE, sep='\t', as.is=TRUE) > x2 <- read.table('/tmp/list2.txt', header=TRUE, sep='\t', as.is=TRUE) > combined <- merge(x1, x2, by.x="Probe.Id", by.y="Probe.ID") > Unfortunately your data did not have any IDs in common between the two > files. > > On Tue, May 11, 2010 at 6:36 AM, Assa Yeroslaviz <fry...@gmail.com> wrote: > >> Hello, >> >> I have two tab-delimited files which I would like to combine. >> In the first one I have gene IDs (Unique) on column 1 and than various >> experimental results from microarray analysis (see attached files list1 ) >> >> the second arrays have the same genes IDs (more and in a different order, >> some are double) (see attached files list2 ) >> >> What I would like to do is to search in the second list for gene ID of the >> first list, than copy (add) the annotations (all or some) into the matrix >> list of the first list. >> >> Unfortunately I don't have a clue as how to start doing it. I tried to >> read >> both lists into a matrix with read.table(). but I don't know how to >> continue. >> >> I would be happy for any help I can get. >> >> THX >> >> Assa >> >> ______________________________________________ >> 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<http://www.r-project.org/posting-guide.html> >> and provide commented, minimal, self-contained, reproducible code. >> >> > > > -- > Jim Holtman > Cincinnati, OH > +1 513 646 9390 > > What is the problem that you are trying to solve? > [[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.