Two links for you which will get your answer much quicker than a mailing list:

http://lmgtfy.com/?q=non-parametric+anova+R

or

http://www.justfuckinggoogleit.com/search.pl?query=non+parametric+anova+R

Jeremy


On 5 March 2010 05:19, blue sky <bluesky...@gmail.com> wrote:
> My interpretation of the relation between 1-way ANOVA and Wilcoxon's
> test (wilcox.test() in R) is the following.
>
> 1-way ANOVA is to test if two or multiple distributions are the same,
> assuming all the distributions are normal and have equal variances.
> Wilcoxon's test is to test two distributions are the same without
> assuming what their distributions are.
>
> In this sense, I'm wondering what is the generalization of Wilcoxon's
> test to more than two distributions. And, more general, what is the
> generalization of Wilcoxon's test to multi-way ANOVA with arbitrary
> complex model formula? What are the equivalent F statistics and t
> statistics in the generalization of Wilcoxon's test?
>
> Note that I'm not interested in looking for a specific nonparametric
> test for a particular dataset right now, although this is important in
> practice. What I'm interested the general nonparametric statistical
> framework that parallels ANOVA. Could somebody give some hints on what
> references I should look for? I have google searched this topic, but
> don't find a page that exactly answered my question.
>
> ______________________________________________
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>



-- 
Jeremy Miles
Psychology Research Methods Wiki: www.researchmethodsinpsychology.com

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