Dear R community,
I performed a generalized linear mixed model using glmmPQL (MASS library) to analyse my data i.e : y is the response with a poisson distribution, t and Trait are the independent variables which are continuous and categorical (3 categories C, M and F) respectively, ind is the random variable.
mydata<-glmmPQL(y~t+Trait,random=~1|ind,family=poisson,data=tab) Do you think it is OK?
Trait is significant (p < 0.0001) and I would like to perform post-hoc comparisons to check where the difference among Trait categories but I did not find a solution in R help list or others.
Thank you in advance for your help
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