Hi, I was looking for a solution to the same problem. I just found something and thought it might be useful to share.
Suppose you look for the positions of the minimum value in matrix D. Using a little euclide division solves the problem easily. Here is my code. min(D) Dv=as.vector(D) pos=which.min(Dv) j0=floor(pos/nrow(D))+1 i0=pos%%nrow(D) D[i0,j0] # must equal min(D) Hope this is useful. I. -- View this message in context: http://r.789695.n4.nabble.com/locating-minimum-value-in-matrix-tp850619p3921598.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
