[R] Nonparametric generalization of ANOVA

[Gabor Grothendieck]

I am happy to answer posts to r-help regardless of the name and email
address of the poster but would draw the line at someone excessively
posting without a reasonable effort to find the answer first or using
it for homework since such requests could flood the list making it
useless for everyone.

On Fri, Mar 5, 2010 at 10:55 AM, Ravi Varadhan <rvaradhan at jhmi.edu> wrote:
> David,
>
> I agree with your sentiments.  I also think that it is bad posting etiquette not to sign one's genuine name and affiliation when asking for help, which "blue sky" seems to do a lot.  Bert Gunter has already raised this issue, and I completely agree with him. I would also like to urge the R-gurus to ignore such postings.
>
> Best,
> Ravi.
> ____________________________________________________________________
>
> Ravi Varadhan, Ph.D.
> Assistant Professor,
> Division of Geriatric Medicine and Gerontology
> School of Medicine
> Johns Hopkins University
>
> Ph. (410) 502-2619
> email: rvaradhan at jhmi.edu
>
>
> ----- Original Message -----
> From: David Winsemius <dwinsemius at comcast.net>
> Date: Friday, March 5, 2010 9:25 am
> Subject: Re: [R] Nonparametric generalization of ANOVA
> To: blue sky <bluesky315 at gmail.com>
> Cc: r-help at stat.math.ethz.ch
>
>
>>  On Mar 5, 2010, at 8:19 AM, blue sky 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.
>>
>>  This is your first of three postings in the last hour and they are
>> all
>>  in a category that could well be described as requests for tutoring
>> in
>>  basic statistical topics. I am of the impression you have been
>>  requested not to engage in such behavior on this list. For this
>>  question for instance there is an entire CRAN Task View available and
>>
>>  you have been in particular asked to sue such resource before posting.
>>
>>  It's not the described role of the r-help list to remediate your lack
>>
>>  of statistical background, but rather to deal with difficulties in
>>  applying the R-language to particular, discrete and exemplified
>>  problems.
>>
>>  --
>>
>>  David Winsemius, MD
>>  West Hartford, CT
>>
>>  ______________________________________________
>>  R-help at r-project.org mailing list
>>
>>  PLEASE do read the posting guide
>>  and provide commented, minimal, self-contained, reproducible code.
>
> ______________________________________________
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>