Thanks, Dieter,
but as far as I understand, 'glht' does not support objects of class
'aovlist' either. I mean, I know there is a "TukeyHSD" function out
there, but that's the problem: repeated measures ANOVA yields an
aovlist object, and TukeyHSD calls for an aov object.
And I don't know if confidence intervals are "certainly much better
than p-values". What I do know is that most journals of psychology
(and medicine, neuroscience, ...for that matter) usually require
p-values be reported.
Still hope someone can help...
Ullrich
At 06:31 PM 28/05/2008, you wrote:
Ullrich Ecker <ullrich.ecker <at> uwa.edu.au> writes:
> I am fairly new to R, and I am aware that others have had this
> problem before, but I have failed to solve the problem from previous
> replies I found in the archives.
>
> Now, I want to calculate a post-hoc test following up a
within-subjects ANOVA.
Probably the best is package multcomp. By default, it gives confidence
intervals, which is certainly much better than p-values. Haven't tried if you
can get p-values.
Dieter
library(multcomp)
amod <- aov(breaks ~ wool + tension, data = warpbreaks)
wht <- glht(amod, linfct = mcp(tension = "Tukey"))
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