Try weights = as.numeric(total)
BTW, there is a SIG (Special Interest Group) for lmer. https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models HTH, --sundar Chris O'Brien said the following on 8/14/2007 11:00 AM: > Dear R users, > > Prof. Ripley just corrected my understanding of the use of weights in glm, > which I thought would allow me to correctly use lmer. However I'm still > having problems. > > My data takes the form of # of infected and uninfected individuals that > were measured over time under different treatments. I'm using lmer to > adjust for the repeated measures over time. > > In fitting the model: > > > model1=lmer(y~treatment+(time | ID),family=binomial,weights = total) > > where y = proportion of animals infected (number infected/total) > total = number of infected + number uninfected > > this returns the error: > > Error in lmer(y ~ treatment + (time | ID), family = binomial, weights = > total) : > object `weights' of incorrect type > > Can anyone tell me what's wrong with the weights? > > cheers, > Chris > > > > > > Chris O'Brien > Sonoran Desert Research Station and > School of Natural Resources > Biological Sciences, room 125 > University of Arizona > Tucson, AZ 85721 > work (520) 623-3720 > [EMAIL PROTECTED] > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.