r - Using lme4 glmer function for unbalanced treatment comparison results in variable length error -


i using lme4 package run generalized linear mixed model proportion data using binary response. have unequal sample sizes treatments , getting following error, understand due fact have unequal sample sizes:

error in model.frame.default(data = pol3, drop.unused.levels = true, formula = x2 ~ : variable lengths differ (found 'trtmt')

here code leads error:

#excluding na data set pol3<-na.exclude(pol) #indicating binary response x2<-cbind(pol3$chsd, pol3$totsd-pol3$chsd) #running model mmchs4<-glmer(x2~trtmt+(1|bsd)+(1|hgt), family=binomial, data=pol3)

i have read lme4 can deal unbalanced samples can't work.

impossible sure without reproducible example, need make sure trtmt variable contained within pol3 (i.e., there isn't trtmt variable lying around in global workspace).

i implement model in way:

glmer(chsd/totsd~trtmt+(1|bsd)+(1|hgt),       weights=totsd,       family=binomial,       na.action=na.exclude,       data=pol)

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