Hi Ullrich,
>> # what does '~1 | Subj/Cond' mean?
It is equivalent to your aov() error structure [ ... +Error(Subj/Cond) ].
It gives you a set of random intercepts, one for each level of your nesting
structure.
## To get some idea of what's being done it helps to have a continuous
covariate in
Great, thanks a lot, guys!
Only thing is I now have two working versions, that yield *slightly*
different results.
ACCaov <- aov(Acc ~ Cond + Error(Subj/Cond), WMU3C)
ACClme <- lme(Acc ~ Cond, random = ~1 | Subj/Cond, WMU3C) # what does
'~1 | Subj/Cond' mean?
summary(glht(ACClme, linfct=mcp(Co
Hi Ullrich,
>> The model is
>> RT.aov <- aov(RT~Cond + Error(Subj/Cond), WMU3C)
>> I understand that TukeyHSD only works with an aov object, but that
>> RT.aov is an aovlist object.
You want to use lme() in package nlme, then glht() in the multcomp package.
This will give you multiplicity adju
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
Ullrich Ecker 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.
Prob
Hi everyone,
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.
As this is such a standard procedure in psychological science, there
must be an elegant solution to this...I think.
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