Dear R user, I have made many logistic regression (glm function) with a second order polynomial formula on a data set containing 440 observation of 96 variables. I’ve made the plot of AIC versus the frequency (presence/observations) of each variable and I obtain a nearly perfect arch effect with a symmetric axe for a frequency of 0.5 . I obtain the same effect with deterministic data. Maybe I’ve miss something, but I have found nothing that could explain this in the theoretical calculation. Could it be due to the computation under R or AIC value is a function of frequency ?
Thanks for your consideration Lionel Humbert PhD candidate Inter-University Forest Ecology Research Group University of Quebec in Montreal ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
