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 [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.