> set.seed(1) > X <- rpois(11,1) > (nX <- table(X)) X 0 1 2 3 4 4 2 1 > names(nX)[nX==max(nX)] [1] "0" "1"
However, if the data are continuous with no 2 numbers exactly equal, then the "mode" depends on the procedure, e.g., the specific selection of breakpoints for a histogram. If you insist on finding something, you can try "www.r-project.org" -> search -> "R site search" for something like ""nonparametric density estimation" and / or "kernel density estimator".
hope this helps. spencer graves
p.s. This has been discussed recently on this list, but I could not easily find it in the archives.
Aurora Torrente wrote:
Hi all,
I think this question could be quite trivial, but I can�t find out the solution... How can you compute the statistic "mode" of a sample, in case it exists (as mode() returns the mode of an object)? I tried help.search("mode") but I couldn't find a clue...
Any help would be much appreciated. Regards,
Aurora
______________________________________________
[EMAIL PROTECTED] mailing list
https://www.stat.math.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
