Hello R-users,
I do not have much knowledge about generalized linear models therefore my
question maybe quite stupid.
I have data from 20 towns with their population and number of people with an
illness from those towns. I would like to use glm function in R so I
can calculate proportions of ill people (and later on produce confidence
intervals). I also want to compare those with original proportions of ill
people.
If I use:
model1 <- glm(ill ~ offset(log(total)), family = poisson)
# ill - number of people with illness
#total - total number of people
with predict.glm I could get number of people (count data), but not the
proportions. If the obtained number I divide by 'total', I get the same
proportion for everyone. But what I want is a way of modeling proportions.
This probably requires to fit a different model but my lack of knowledge
isn't helping here.
I would appreciate any help.
Aiste
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