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

From: David Winsemius <dwinsemius_at_comcast.net>
Date: Thu, 17 Jun 2010 20:12:54 -0400

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
> Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il
> (Hebrew) |
> www.r-statistics.com (English)
> ----------------------------------------------------------------------------------------------
>
>
>
>
> 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]]
>>>
>>> ______________________________________________
>>> R-help_at_r-project.org mailing list
>>> https://stat.ethz.ch/mailman/listinfo/r-help
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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 ______________________________________________ R-help_at_r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Received on Fri 18 Jun 2010 - 03:07:30 GMT

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