[R-sig-ME] modelling proportions, with aggregated data, and the new/old lme4
Joerg Luedicke
joerg.luedicke at gmail.com
Sun Mar 18 23:06:49 CET 2012
I would certainly check out a Poisson model with the number of
successes as outcome and successes+failures as an offset.
Joerg
On Sun, Mar 18, 2012 at 11:51 AM, Rolf Turner <r.turner at auckland.ac.nz> wrote:
> 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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