Hi Gabor, Your version works with the small sample matrix but I didn't get it to work with a larger 675x8 -matrix. I don't know why. I don't know the command aggregate if there is something. I got this one from Peter Alspach
which.max(table(paste(data.frame(t(MATRIX)), sep=','))) and it seems to work as well as one posted by Dimitrios Rizopoulos. Atte > Try this: > > a <- matrix(1:3, 4, 5) > > a.ag <- aggregate(1:nrow(a), as.data.frame(a), length) > a.ag[which.max(a.ag$x), 1:ncol(a)] > > > On 11/19/06, kone <[EMAIL PROTECTED]> wrote: > > Hi, > > > > How do you get the most common row from a matrix? If I have a matrix > > like this > > > > array(1:3,dim=c(4,5)) > > > > [,1] [,2] [,3] [,4] [,5] > > [1,] 1 2 3 1 2 > > [2,] 2 3 1 2 3 > > [3,] 3 1 2 3 1 > > [4,] 1 2 3 1 2 > > > > in which rows 1 and 4 are similar, I want to find that vector c > > (1,2,3,1,2). > > > > Atte Tenkanen > > University of Turku, Finland > > > > ______________________________________________ > > R-help@stat.math.ethz.ch 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@stat.math.ethz.ch 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.