On Jun 16, 2010, at 1:43 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.
Many years ago I remember reading advice in Conover and Iman's
"Practical Non-Parametric Statistics" that one could apply a rank
transformation to the dependent and independent variables and then
run a typical anova test. This is probably inferior in many ways to
doing quantile regression (don't know if this has a repeated measures
extension) or to the use of robust standard errors for examining
inferential issues in regression models, but it certainly represents a
useful consistency check when all you are worried about is influential
points in a skew distributions. I cannot comment on how it would
theoretically behave in a repeated-measures analysis, but I suspect
that there are readers of this list who can comment with greater
authority, and I invite them to do so.
--
David.
Best,
Tal
----------------Contact
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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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West Hartford, CT
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