After much research I've listed a couple of ways to do repeated measures
anova here:
http://gribblelab.org/2009/03/09/repeated-measures-anova-using-r/
including univariate and multivariate methods, post-hoc tests, sphericity
test, etc.
It appears to me that the most useful way is a multivariate
Hi Paul,
Note that in your example subject/myfactor is conflated with the error
term. The error thrown when you use intervals on the lme object is a
result:
am2 - lme(dv ~ myfactor, random = ~1|subject/myfactor, data=mydata)
intervals(am2)
Error in intervals.lme(am2) :
Cannot get confidence
I have 3 questions (below).
Background: I am teaching an introductory statistics course in which we are
covering (among other things) repeated measures anova. This time around
teaching it, we are using R for all of our computations. We are starting by
covering the univariate approach to repeated
Paul Gribble wrote:
I have 3 questions (below).
Background: I am teaching an introductory statistics course in which we are
covering (among other things) repeated measures anova. This time around
teaching it, we are using R for all of our computations. We are starting by
covering the univariate
Have a look at
http://cran.r-project.org/doc/Rnews/Rnews_2007-2.pdf
Wow. I think my students would keel over.
Anova() from the car package looks promising - I will check it out. Thanks
On Tue, Mar 3, 2009 at 4:00 PM, Peter Dalgaard p.dalga...@biostat.ku.dkwrote:
Paul Gribble wrote:
I
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