[R] Two factor (or more) non-parametric comparison of means

[Marc Schwartz (via MN)]

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)" <mschwartz at mn.rr.com> 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 <jsorkin at grecc.umaryland.edu>:
> > > > 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
> > 
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