Re: [R] permutation test assumption?

From: Nordlund, Dan (DSHS/RDA) <NordlDJ_at_dshs.wa.gov>
Date: Tue, 08 Apr 2008 15:54:52 -0700

> -----Original Message-----
> From: r-help-bounces_at_r-project.org
> [mailto:r-help-bounces_at_r-project.org] On Behalf Of Joćo Fadista
> Sent: Tuesday, April 08, 2008 3:10 PM
> To: ONKELINX, Thierry; r-help_at_r-project.org
> Subject: Re: [R] permutation test assumption?
>
> Dear Thierry,
>
> Thanks for the reply. But as you may read in the paper
> http://bioinformatics.oxfordjournals.org/cgi/content/abstract/
> 22/18/2244 when the sample sizes are not the same there may
> be an increase in the Type I error rate.
>
> Comments will be appreciated.
>
> Best regards,
> Joćo Fadista
>
>
> ________________________________
>
> De: ONKELINX, Thierry [mailto:Thierry.ONKELINX_at_inbo.be]
> Enviada: ter 08-04-2008 15:27
> Para: Joćo Fadista; r-help_at_r-project.org
> Assunto: RE: [R] permutation test assumption?
>
>
>
> Dear Joćo,
>
> You can do permutation tests on an unbalanced design.
>
> HTH,
>
> Thierry
>

Joćo,

I haven't read the paper, but the abstract didn't mention different sample sizes as a problem. Do the authors comment on sample size in the paper itself? If so, what did they say? If not, then why do you think sample size is a problem?

Dan

Daniel J. Nordlund
Research and Data Analysis
Washington State Department of Social and Health Services Olympia, WA 98504-5204    



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