[R] aov and errors used for interaction effects

From: O.Langner <o.langner_at_psych.ru.nl>
Date: Mon, 31 Mar 2008 03:47:07 -0700 (PDT)

Dear list-members,

I just switched to R, so here probably a newbie question, I couldn't find a answer for yet:

Assume a design with three repeated measures factors (F1-F3), I tried to run the following:
aov(rt ~ F1*F2*F3 + Error(subject / (F1*F2*F3)))

Comparing the output from here and SPSS (General Linear Model -> Repeated measures) I found, that R does all calculations right for the main effects of F1-F3, but seems to do something different for the interactions: Whereas SPSS gets the F for an interaction by dividing the MS of the interaction term (e.g. F1*F2) by the corresponding MS of the interaction with subject (then F1*F2*subject), R just divides all interaction MS by the residual MS.

Could somebody point out to me, what I'm doing wrong or how I can get aov to use the appropriate error terms also for the higher order interactions?

Thanks for helping!

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