Hi, On Mon, Oct 17, 2011 at 8:07 AM, a217 <aj...@case.edu> wrote: > I have a dataframe in the general format: > > chr1 0.5 > chr1 0 > chr1 0.75 > chr2 0 > chr2 0 > chr3 1 > chr3 1 > chr3 0.5 > chr7 0.75 > chr9 1 > chr9 1 > chr22 0.5 > chr22 0.5
Using dput to give us some reproducible data would be even better. > where the first column is the chromosome location and the second column is > some value. What I'd like to do is have a histogram created for each chr > location (i.e. a separate histogram for chr1, chr2, chr3, chr7, chr9, and > chr22). I am just having a hard time getting everything to work out and am > hoping for some suggestions. And telling us what you've tried would also help. par(mfrow=c(2,3)) hist(mydata[mydata[,1] == "chr1", 2]) hist(mydata[mydata[,1] == "chr2", 2]) hist(mydata[mydata[,1] == "chr3", 2]) hist(mydata[mydata[,1] == "chr7", 2]) hist(mydata[mydata[,1] == "chr9", 2]) hist(mydata[mydata[,1] == "chr22", 2]) So obviously that is completely untested because I don't have your sample data, but might give you the idea. Sarah -- 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.
