[R] Is there a non-parametric repeated-measures Anova in R ?

David Winsemius dwinsemius at comcast.net
Fri Jun 18 02:12:54 CEST 2010


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
> Details:-------------------------------------------------------
> Contact me: Tal.Galili at gmail.com |  972-52-7275845
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> (Hebrew) |
> www.r-statistics.com (English)
> ----------------------------------------------------------------------------------------------
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>
>
>
> On Wed, Jun 16, 2010 at 8:30 PM, Jeremy Miles  
> <jeremy.miles at 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.galili at 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.Galili at gmail.com |  972-52-7275845
>>>> Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il  
>>>> (Hebrew)
>> |
>>>> www.r-statistics.com (English)
>>>>
>>>>
>> ----------------------------------------------------------------------------------------------
>>>>
>>>>
>>>>
>>>
>>>       [[alternative HTML version deleted]]
>>>
>>> ______________________________________________
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>>
>>
>>
>> --
>> Jeremy Miles
>> Psychology Research Methods Wiki: www.researchmethodsinpsychology.com
>>
>
> 	[[alternative HTML version deleted]]
>
> ______________________________________________
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David Winsemius, MD
West Hartford, CT



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