[R] permutation test assumption?
Nordlund, Dan (DSHS/RDA)
NordlDJ at dshs.wa.gov
Wed Apr 9 00:54:52 CEST 2008
> -----Original Message-----
> From: r-help-bounces at r-project.org
> [mailto:r-help-bounces at r-project.org] On Behalf Of João 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
> 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,
> João Fadista
> De: ONKELINX, Thierry [mailto:Thierry.ONKELINX at inbo.be]
> Enviada: ter 08-04-2008 15:27
> Para: João Fadista; r-help at r-project.org
> Assunto: RE: [R] permutation test assumption?
> Dear João,
> You can do permutation tests on an unbalanced design.
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?
Daniel J. Nordlund
Research and Data Analysis
Washington State Department of Social and Health Services
Olympia, WA 98504-5204
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