Dror,
Please look at the
demo(MMC.apple)
in the HH package
install.packages("HH") ## if you don't already have it.
library(HH)
demo(MMC.apple)
Please reply to the list if there are further queries.
Rich
On Sun, Dec 26, 2010 at 7:42 AM, Dror D Lev <dror.te...@gmail.com> wrote:
> Dear r helpers,
>
> I would like to look at the interaction between two two-level factors, one
> between and one within participants, after accounting for any variance due
> to practice (31 trials in each of two blocks) in the task.
> It seems to require treating practice as a covariate.
>
> All the examples I noticed for handling covariates (i.e. ANCOVA, including
> the ones in Faraway's "Practical regression and anova using r") use lm(),
> but this doesn't handle repeated-measures.
>
> I thought of a solution in the form of first running a regression on the
> covariate:
> > cov.accnt = lm (myMeasure ~ myCovMeasure, data=dat)
>
> and then run the aov() on the residuals:
> > m.aov = aov (cov.accnt$residuals ~ withinVar*betweenVar +
> Error(subj/withinVar, data=dat)
>
> Does it seem to be a valid answer to my problem?
>
> Is there an existing function that can do this (perhaps more
> appropriately)?
>
> Thank you for any help,
> dror
>
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>
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