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 > > ______________________________________________ > [email protected] 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. > ______________________________________________ [email protected] 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.
