On 6/19/06, Rick Bilonick <[EMAIL PROTECTED]> wrote: > On Sun, 2006-06-18 at 13:58 +0200, Douglas Bates wrote: > > If I understand correctly Rick it trying to fit a model with random > > effects on a binary response when there are either 1 or 2 observations > > per group.
If you look at Rick's examples, it's worse than that; each group contains identical observations (by design?). May I suggest: > glm(y ~ x, family = binomial, data = unique(example.df)) I think lmer gives a very sensible answer to this problem. Göran ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
