I have distribution that are gaussian to a good approximation. I fit a gaussian to these distributons. Once in a while there is an outlier. Could someone suggest a robust method (R package already?) that removes those outliers and redoes the gaussian fit to get a better fit? Thanks. [[alternative HTML version deleted]]
See the CRAN "Robust" Task View (for better ways of doing what you want). -- Bert On Wed, Oct 31, 2012 at 2:26 PM, Dieter Best <dieterbest at gmail.com> wrote:> I have distribution that are gaussian to a good approximation. I fit a > gaussian to these distributons. Once in a while there is an outlier. Could > someone suggest a robust method (R package already?) that removes those > outliers and redoes the gaussian fit to get a better fit? Thanks. > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list > stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code.-- Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm