[R] glmer won't allow quasi- distribution mixed models

Dear R folk I am trying to run a series of models on distance data for three different species of animals. My data are not zero-inflated (distances were recorded for locomotion only and so if the animal didn't move, it wasn't recorded) and are Poisson distributed. However, all of the models that I

[R] Assessing interaction effects in GLMMs

T1200: T1300: Time11h00 Time12h00 Time13h00 Time14h00 TertileLow Max Min Tm11h00:TrL Tm12h00:TrL Tm13h00:TrL 0.081 Tm14h00:TrL 0.098 0.116 Luke Duncan *Post-doctoral** Fellow* *School of Animal, Plant and Environmental Sciences* *University of the Witwatersrand* *Johannesbur

[R] Getting vastly different results when running GLMs

Dear R gurus I am analysing data from a study of behaviour and shade utilization of chimpanzees. I am using GLMs in R (version 2.13.0) to test whether shade/sun utilization is predicted by behaviour observed. I am thus interested in whether an interaction of behaviour (as a predictor) and presence

[R] How do you report lmer results?

.773 1.6792  1  0.195 As I understand this output, the only significant predictor in the model appears to be time of day. But, I don't really know how this should be reported. Can you point me to some papers or examples where lmer outputs have been reported formally? Any help t