Peter, Good points all around.
Hopefully John will provide further clarification. Best regards, Marc On Tue, 2005-10-11 at 19:46 +0200, Peter Dalgaard wrote: > "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 > > > ______________________________________________ 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