[R] permutation test assumption?
Joao.Fadista at agrsci.dk
Wed Apr 9 00:10:25 CEST 2008
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.
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?
You can do permutation tests on an unbalanced design.
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest
Cel biometrie, methodologie en kwaliteitszorg / Section biometrics, methodology and quality assurance
tel. + 32 54/436 185
Thierry.Onkelinx at inbo.be
To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of.
~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data.
~ Roger Brinner
The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data.
~ John Tukey
Van: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] Namens João Fadista
Verzonden: dinsdag 8 april 2008 15:18
Aan: r-help at r-project.org
Onderwerp: [R] permutation test assumption?
Can I do a permutation test if the number of individuals in one group is much bigger than in the other group? I searched the literature but I didin´t find any assumption that refers to this subject for permutation tests.
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