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aspect
2011 May 19
1
lmer with 2 random effects with only two levels
...2.1 B low
The order of treatment is counterbalanced and I would assume I would choose
to fit the model:
> model1<-lme(response~treat, random=~1|femaleset/group)
or
> model2<-lmer(response~treat+(1|femaleset/group))
However I am concerned with two aspcts: my small sample size of course but
also the use of a random effect of female set only has two levels (A and B).
Is there a more appropriate way to handle this analysis? A glm with female
group as an explanatory for instance such as:
model3<-glm(response~treatment+femaleset+treatment*female...