Dear sir, I am fitting a glm with default identity link:
model<-glm(timetoacceptsecs~maleage*maletub*relweight*malemobtrue*femmobtrue) the model is overdisperesed and plot model shows a low level of linearity of the residuals. The overdispersion and linearity of residulas on the normal Q-Q plot is corrected well by using: model<-glm(log(timetoacceptsecs)~maleage*maletub*relweight*malemobtrue*femmobtrue)) Boxcox of my model also suggests that the log transformation is what i should do. I ask how i am able to do this by changing the link function or error family of my glm and not diretly taking the log of the response variable. For instance: model<-glm(log(timetoacceptsecs)~maleage*maletub*relweight*malemobtrue*femmobtrue, family=poisson)) does not improve my model in terms of overdispersion etc as much as taking the log. Thank you ______________________________________________ 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.
