This is not an r-help issue. Post on a statistics list like stats.stackexchange.com instead for a variety of opinions.*
Cheers, Bert *Which will probably be useless given your paucity of data. But that's just *my* useless opinion. Bert Gunter Genentech Nonclinical Biostatistics (650) 467-7374 "Data is not information. Information is not knowledge. And knowledge is certainly not wisdom." Clifford Stoll On Mon, Feb 2, 2015 at 6:36 AM, Roland Pape <roland.p...@uni-oldenburg.de> wrote: > Dear list, > > I would like to validate various GLMs, all of them containing (among others) > several factors as predictors. I thought about using cv.glm from the boot > package, but necessarily got the error "factor xy has new level z". Is there > any function to easily cross validate LMs or GLMs containing factors that I > have missed, or any other work around? > - Having in mind that using cross validation on a small data set is not the > best solution (I have 50-600 samples, but also three factors with up to 15 > levels): Are there any other approaches? > > Any help is greatly appreciated! > > Roland > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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 -- To UNSUBSCRIBE and more, see 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.
