modelling proportions, with aggregated data, and the new/old lme4

I would certainly check out a Poisson model with the number of
successes as outcome and successes+failures as an offset.

Joerg
On 19/03/12 07:10, Ben Bolker wrote:

<SNIP>

head(dat)
? successes failures id sex subdist
1 ? ? ? 560 ? ? ?726 ?1 ? F ? ? ? 4
2 ? ? ? 844 ? ? ?510 ?1 ? M ? ? ? 4
3 ? ? ? 340 ? ? ?438 ?2 ? F ? ? ? 4
4 ? ? ? 616 ? ? ?273 ?2 ? M ? ? ? 4
5 ? ? ? ? 7 ? ? ? ?0 ?3 ? F ? ? ? 4
6 ? ? ? ? 3 ? ? ? ?1 ?3 ? M ? ? ? 4

In community #1, which is in subdistrict #4, there are 560 women
? you mean 510, right?
<SNIP>

Sure looks like 560 to me. ?Time for a trek to the optometrist, Ben?

? ?cheers,

? ? ? ?Rolf

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modelling proportions, with aggregated data, and the new/old lme4

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