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

From: Marc Schwartz (via MN) <mschwartz_at_mn.rr.com>
Date: Wed 12 Oct 2005 - 03:54:12 EST

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@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@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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> >
>



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https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Wed Oct 12 04:03:12 2005

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