On Mon, 19 Oct 2009, Fulton wrote:
>
> I’m running some logistic regressions and I’ve been trying to include weights
> in the equation. However, when I run the model, I get this warning message:
>
> Here’s what it says: Warning message: In eval(expr, envir, enclos) :
> non-integer #successes in a binomial glm!
>
> I think it is because the weights are non-integer values.
Yes
> What is a good way to run logistic regressions in R when using non-integer
> weights?
You should use family=quasibinomial(). For svyglm() this is identical to
binomial() except that it doesn't warn about non-integer weights.
I'll update the documentation for svyglm() to make this explicit.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.edu University of Washington, Seattle
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