repeated measures anova
1. Please do not multiple post. 2. One approach would be mixed effects models. See the nlme and lme4 packages. 3. But there are a host of others (including, perhaps, just ?aov.). 4. This is a statistical question, and off topic here. Post on the r-sig-mixed-effects models list instead or s statistical list like stats.stackexchange.com. -- Bert
On Mon, Feb 18, 2013 at 2:38 AM, Robert D Kinley <rdkinley at gmail.com> wrote:
Hi
I'm having difficulty working out how to get what I think is the
appropriate partitioning of variability in a repeated measures setup.
I have G=5 treatment-groups, each containing n=6 subjects, and a response
is measured on each subject on t=4 occasions.
I think the anova degrees of freedom should partition as follows -
Between-subjects: G*n-1=29
[ between-groups: g-1 = 4 ,
between-subjects residual G*(n-1) = 25 ]
Within-subjects: G*n*(t-1)=90
[ between-occasions t-1=3 ,
occasion:group interaction (G-1)*(t-1) = 12 ,
within-subject residual G*(n-1)*(t-1)=75 ]
What's the best way to tackle this analysis in R * ?
Hope you can help
cheers Bob Kinley
*[ R 2.15.2 , windows xp ]
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Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm