[R] glmmBUGS: logistic regression on proportional data
John Poulsen
jpoulsen at zoo.ufl.edu
Sun Feb 8 14:29:33 CET 2009
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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