It isn't (and never was) indicative of a problem. You can make the warning
go away by using quasibinomial() instead of binomial(), as in the example
on the help page.
Incidentally, it's survey::svyglm (::, not :::)
-thomas
On Wed, 6 Aug 2008, Ben Domingue wrote:
Howdy,
Referencing the below exchange:
https://stat.ethz.ch/pipermail/r-help/2006-April/103862.html
I am still getting the same warning ("non-integer #successes in a
binomial glm!") when using svyglm:::survey. Using the API data:
library(survey)
data(api)
#stratified sample
dstrat<-svydesign(id=~1,strata=~stype, weights=~pw, data=apistrat, fpc=~fpc)
svyglm(sch.wide~meals+acs.core+hsg,dstrat,family="binomial")
I get:
Stratified Independent Sampling design
...
Warning message:
In eval(expr, envir, enclos) : non-integer #successes in a binomial glm!
Is this still indicative of a problem? Thanks,
Ben
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Thomas Lumley Assoc. Professor, Biostatistics
[EMAIL PROTECTED] University of Washington, Seattle
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