Shuhua Zhan <szhan <at> uoguelph.ca> writes: > > smallvec<-c(8,12,9,6,13,20,16,11,8,5) > largevec<-c(400,300,550,600,210,420,380,600,450,500) > generdm<-c() ## a random set of genes > for( i in 1:length(smallvec)){ > # try to chop down this line and add a print to understand # what is going on generdm<-c(generdm, sample(rownames(largedf)[sum(largevec[0:i-)],1):sum(largevec[0:i])],smallvec[i]))
> ## rownames(largedf) gives gene names ordered by levels in > } Since your code does not run, and you do not show how you got your result, it is a bit of guesswork. I believe it has nothing to do with sample(), but rather with the way you "store" (=not store) the results. Your way of storing looks a bit like PHP. Try a variation of this one generdm = list() for (i in 1:10) { generdm[[i]] = rnorm(10) # put your sample construct here } generdm Dieter ______________________________________________ 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.