Dear R experts,
I want to create a GLM with nested factors and binomial error distribution.
I have five independent variables, three categorial and two continuous ones.
The thing is that one of the categorial factors is nested within the other,
i.e.
only the factor combinations (with 10 replicates per factor combination)
exist:
Fac1 Fac2
A g
A h
A i
B j
B k
B l
B m
B n
B o
What I would like to know is:
1) How can I include the hierarchical structure of Factors 1 and 2 in the
model?
(i.e. decide whether Factor 2 has more explanatory power than Factor 1 alone)
2) Is the unbalanced design a problem in this case?
3) How can I include two continuous independent variables in the model? I am
actually quite sure that they don't play a role but need to be sure.
Thanks a lot!
Florian Menzel
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