David Winsemius
Heritage Labs
On Feb 8, 2009, at 8:29 AM, John Poulsen wrote:
> Hello,
>
> I am trying to run a logistic regression with random effects on
> proportional data in glmmBUGS. I am a newcomer to this package, and
> wondered if anyone could help me specify the model correctly.
> I am trying to specify the response variable, /yseed/, as # of
> successes out of total observations... but I suspect that given the
> error below, that is not correct. Also, Newsect should be a factor,
> whereas Newdist is continuous.
>
> Thanks,
> John
>
>
> Newdat<-data.frame(Newtree=rep(1:3, each=20),
> Newsect=rep(c("a","b"), each=10), Newdist=rep(1:5, 2),
> y=rpois(60,2), tot=rep(c(14,12,10,8,6), 12))
>
> yseed<-cbind(Newdat$y, Newdat$tot)
>
> mod<-glmmBUGS(yseed~Newsect + Newdist, effects="Newtree",
> family="binomial", data=Newdat)
>
> Error in `[.data.frame`(data, , response, drop = FALSE) :
> undefined columns selected
>
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