Sorry, I was not particularly clear. I ran my data through a GLM (the response variable is a proportion, and I ignored the random effects for the purposes of data exploration), and plotted the residuals against each of my predictor variables (some of which are continuous, some categorical). The heterogeneity showed up in the residuals of the response variable plotted against a categorical predictor variable (Insect functional group).
Do I need to use something other than the GLMM in this case? Thank you very much for your help. -- View this message in context: http://r.789695.n4.nabble.com/General-question-about-GLMM-and-heterogeneity-of-variance-tp4424429p4430970.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org 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.
