The Friedman test lacks power. When there are only 2 blocks it reduces to the inefficient sign test.

Frank

On 06/16/2010 12:43 PM, Tal Galili wrote:
Hello Jeremy,
Thank you for replying.

I came across friedman test (I even wrote and published R code to easily
perform a post-hoc analysis of friedman
test<http://www.r-statistics.com/2010/02/post-hoc-analysis-for-friedmans-test-r-code/>
).
But what I am after is *multi-way* repeated-measures anova.  Thank you for
your reply which allowed me to clarify my intentions.

Best,
Tal




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On Wed, Jun 16, 2010 at 8:30 PM, Jeremy Miles<jeremy.mi...@gmail.com>wrote:

It's possible to use the ordinal regression model if your data are
ordered categories.  The standard non-parametric test is the Friedman
test.

?friedman.test

Jeremy


On 16 June 2010 10:22, Tal Galili<tal.gal...@gmail.com>  wrote:
Hello Prof. Harrell and dear R-help mailing list,

I wish to perform a non-parametric repeated measures anova.

If what I read online is true, this could be achieved using a mixed
Ordinal
Regression model (a.k.a: Proportional Odds Model).
I found two packages that seems relevant, but couldn't find any vignette
on
the subject:
http://cran.r-project.org/web/packages/repolr/
http://cran.r-project.org/web/packages/ordinal/

So being new to the subject matter, I was hoping for some directions from
people here.

Are there any tutorials/suggested-reading on the subject?  Even better,
can
someone suggest a simple example code for how to run and analyse this in
R
(e.g: "non-parametric repeated measures anova") ?

I waited a week to repost this question.  If I should have waited longer,
or
not repost this at all - then I am truly sorry.

Thanks for any help,
Tal






----------------Contact
Details:-------------------------------------------------------
Contact me: tal.gal...@gmail.com |  972-52-7275845
Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew)
|
www.r-statistics.com (English)


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


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                     Department of Biostatistics   Vanderbilt University

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