Sorry by the delay. You could do:
my.data - expand.grid(A=factor(1:4), B=factor(1:4), rep=1:4)
my.data$y - rbinom(my.data$A, 10, 0.5)
model - glm(cbind(y, 10-y)~A*B, family=binomial, data=my.data)
anova(model, test=Chisq )
Analysis of Deviance Table
Model: binomial, link: logit
Response:
Dears useRs,
I have 2 factors, (for the sake of explanation - A and B), with 4 levels each.
I've already fitted a negative binomial generalized linear model to my data,
and now I need to split the factors in two distinct analysis of deviance table:
- A within B1, A within B2, A within B3 and A
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