and you might want to check ?prop.table > prop.table(a, 2) [,1] [,2] [1,] 0.0 0.3333333 [2,] 0.5 0.3333333 [3,] 0.5 0.3333333
or even ?sweep (which will be useful for more complex situations) > sweep(a, 2, colSums(a), "/") [,1] [,2] [1,] 0.0 0.3333333 [2,] 0.5 0.3333333 [3,] 0.5 0.3333333 b On Mar 7, 2008, at 5:32 PM, Alexey Shipunov wrote:
Dear list, I just made a very simple mistake, but it was hard to spot. And I think that I should warn other people, because it is probably so simple to make... === R code === # Let us create a matrix: (a <- cbind(c(0,1,1), rep(1,3))) # [,1] [,2] # [1,] 0 1 # [2,] 1 1 # [3,] 1 1 # That is a MISTAKE: a/colSums(a) # [,1] [,2] # [1,] 0.0000000 0.3333333 # [2,] 0.3333333 0.5000000 # [3,] 0.5000000 0.3333333 # I just wonder if some R warning should be issued here? # That is what I actually needed (column-wise frequencies): t(t(a)/colSums(a)) # [,1] [,2] # [1,] 0.0 0.3333333 # [2,] 0.5 0.3333333 # [3,] 0.5 0.3333333 === end of R code === With best wishes and regards, Alexey Shipunov ______________________________________________ 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.