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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