"Marc Schwartz (via MN)" <[EMAIL PROTECTED]> writes: > I suspect that John may be looking for ?friedman.test, which I believe > will allow for a two-way non-parametric test.
You could be right, but you could also be wrong... It depends quite a bit on what is meant by a "two-factor comparison of means". If he literally means means (!), then a permutation test (permuting within levels of the other factor) could be appropriate. It also makes a difference whether there's a single replication or more per cell in the cross-classification. > kruskal.test() will perform a non-parametric test on two or more samples > (or factor levels) as a generalization of wilcox.test() for one or two > samples (or factor levels). > > HTH, > > Marc Schwartz > > On Tue, 2005-10-11 at 18:22 +0200, Johan Sandblom wrote: > > ?kruskal.test > > > > 2005/10/11, John Sorkin <[EMAIL PROTECTED]>: > > > Can anyone suggest a good non-parametric test, and an R > > implementation of the test, that allows for two or more factors? > > Wilcoxon signed rank allows for only one. > > > Thanks, > > > John > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > -- O__ ---- Peter Dalgaard Ă˜ster Farimagsgade 5, Entr.B c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907 ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html