Thank you all for your **very good** answers:
Using aovp(..., perm="Exact") seems to be the way to go for small datasets,
and also I should definitely try ?kruskal.test.
Juan
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R-help@r-project.org mailin
> This package uses a modified version of aov() function, which uses
> Permutation Tests
>
> I obtain different p-values for each run!
Could that be because you are defaulting to perm="Prob"?
I am not familiar with the package, but the manual is informative.
You may have missed something when r
f Juan Telleria Ruiz
> de Aguirre
> Sent: Montag, 3. September 2018 17:18
> To: R help Mailing list
> Subject: [R] ANOVA Permutation Test
>
> Dear R users,
>
> I have the following Question related to Package lmPerm:
>
> This package uses a modified version of aov(
Dear Juan
I do not use the package but if it does permutation tests it presumably
uses random numbers and since you are not setting the seed you would get
different values for each run.
Michael
On 03/09/2018 16:17, Juan Telleria Ruiz de Aguirre wrote:
Dear R users,
I have the following Que
Dear R users,
I have the following Question related to Package lmPerm:
This package uses a modified version of aov() function, which uses
Permutation Tests instead of Normal Theory Tests for fitting an Analysis of
Variance (ANOVA) Model.
However, when I run the following code for a simple linear
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