[R-sig-ME] Non-parametric 2x2 Mixed Factorial ANOVA in R?
Ben Bolker
bbolker at gmail.com
Sun Nov 18 17:56:52 CET 2012
On 12-11-18 11:26 AM, Marianne Anke wrote:
> Thanks Ben and David for your help!
>
>
> I have done permutation testing and the results I got were actually
> similar compared to the traditional ANOVA (see below).
>
> How should I phrase the result of this permutation test in an article?
> Would you mind making a suggestion?
I would probably just present the results of the traditional ANOVA and
state in passing (maybe parenthetically) that the p-values derived from
a permutation-based analogue of the test were similar (and thus the
results are robust to non-normality of the data). Don't forget to cite
as in citation("lmPerm") ...
>
>
> Thanks and best regards,
>
> Marianne
>
>
> #####################################################################
>
> Traditionalaov()ANOVA:
>
>
> Error:Subject
>
> DfSumSqMeanSqFvaluePr(>F)
>
> Group 1 17784 17784 0.972 0.337
>
> Residuals 18 329459 18303
>
>
> Error:Within
>
> Df Sum Sq Mean Sq F value Pr(>F)
>
> Session 1 831 831 0.408 0.5311
>
> Group:Session 1 10530 10530 5.1660.0355*
>
> Residuals 18 36693 2038
>
> ---
>
> Signif.codes: 0‘***’0.001‘**’0.01‘*’0.05‘.’0.1‘’1
>
>
>
> Permutationaovp()ANOVA:
>
> [1]"Settings: unique SS "
>
>
> Error:Subject
>
> Component1:
>
> DfRSumSqRMeanSqIterPr(Prob)
>
> Group 1 17784 17784 403 0.201
>
> Residuals 18 329459 18303
>
>
>
> Error:Within
>
> Component1:
>
> Df R Sum Sq R Mean Sq Iter Pr(Prob)
>
> Session 1 831 831.4 158 0.39241
>
> Group:Session 1 10530 10530.43934 0.02491*
>
> Residuals 18 36693 2038.5
>
> ---
>
> Signif.codes: 0‘***’0.001‘**’0.01‘*’0.05‘.’0.1‘’1
>
> #####################################################################
>
>
>> Date: Tue, 13 Nov 2012 07:50:05 +1000
>> From: David.Duffy at qimr.edu.au
>> To: r-sig-mixed-models at r-project.org
>> Subject: Re: [R-sig-ME] Non-parametric 2x2 Mixed Factorial ANOVA in R?
>>
>> On Tue, 13 Nov 2012, Ben Bolker wrote:
>>
>> > * you could try bootstrapping or permutation testing (being careful
>> > to respect the grouping structure of the data
>>
>> lmPerm package may be useful for this
>>
>> _______________________________________________
>> R-sig-mixed-models at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
More information about the R-sig-mixed-models
mailing list