I doubt that there are any. For a "bimodal" distrbution, I think one would have to specify in detail the nature of the distribution and then define what one means by an "outlier" (a slippery, sinister notion, at best and a flimsy cloak for skulduggery at worst) .
As has been said her frquently before -- what is the scientific context? What is the scientific question? I suspect you need to seek the help of a local statistician before you sweep possibly important data under the "outlier" rug. Bert Gunter Genentech Nonclinical Biostatistics On Mon, Jul 26, 2010 at 5:40 AM, Tim Smith <tim_smith_...@yahoo.com> wrote: > > Hi, > > I was looking for a package that would help with outlier detection for bimodal > distributions. I have tried 'outliers' and 'extremevalues' packages, but am > not > sure if they are ok for bimodal distribution. > > Any help would be highly appreciated! > > thanks, > > > > [[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. ______________________________________________ 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.
