[Following up for my own personal education so a bit OT!]
Naively, I would have thought that package multcomp would be of use
here. So I tried, for my own comprehension and education, to answer the
OP's question using multcomp. Here's what I got:
## make this reproducible (I hope)
set.seed(1234)
Thank you very much for your reply.
Then I understand that would not be correct to perform the test in
summary for testing the significance of the different levels of a
factor in relation to the first level, including when there are more
than 2 levels, as in my real case; at least for binomial regr
On Wed, 27 Feb 2008, juli pausas wrote:
> Dear all,
> I have a question on glm, family binomial. I do not see significant
> differences between the levels of a factor (treatment) if all data for
> a level is 0; and replacing a 0 for a 1 (in fact reducing the
> difference), then I detect the signif
Dear all,
I have a question on glm, family binomial. I do not see significant
differences between the levels of a factor (treatment) if all data for
a level is 0; and replacing a 0 for a 1 (in fact reducing the
difference), then I detect the significant difference that I expected.
Is there a way to
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