Hi: Here's one approach. Let x be your matrix; then table(apply(x, 1, which.max))
2 3 3 3 If you prefer the result in data frame form, then > as.data.frame(table(apply(x, 1, which.max))) Var1 Freq 1 2 3 2 3 3 HTH, Dennis On Mon, May 31, 2010 at 2:39 AM, Noah Silverman <n...@smartmediacorp.com>wrote: > We're running Monte Carlo repeated measures for several groups. > > The goal is to determine the number of time each group has the highest > score. > > A toy example: > > [,1] [,2] [,3] > 0.1 0.2 0.3 > 0.1 0.2 0.3 > 0.1 0.2 0.3 > 0.1 0.3 0.2 > 0.1 0.3 0.2 > 0.2 0.3 0.1 > > For this example: group 1 was the top 0 times, group 2 was the top 3 > times., group 3 was the top 3 times > > I can do this with some messy & statements or loops, but am looking for > an easier way. > > Any suggestion? > > -N > > ______________________________________________ > 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. > [[alternative HTML version deleted]] ______________________________________________ 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.
