I am somewhat surprised that _anything_ sensible comes out of anova.glm(l,
test="Chisq"). I think it is mostly expected that you use F tests for that case.
What does seem to come out is the same as for drop1(l, test="Rao"), which gives
the scaled score test, which would seem to be equivalent to
Dear list members,
I’m having some problems understanding why drop1() and anova() gives
different results for *Gaussian* glm models. Here’s a simple example:
d = data.frame(x=1:6,
group=factor(c(rep("A",2), rep("B", 4
l = glm(x~group, data=d)
Running the following code
2 matches
Mail list logo
