Hello, silly question I suppose, but somehow I can't manage to extract the probabilities from a glm.predict() result:
> str(res) Named num [1:9] 0.00814 0.01877 0.025 0.02941 0.03563 ... - attr(*, "names")= chr [1:9] "1" "2" "3" "4" ... I got from: # A Gamma example, from McCullagh & Nelder (1989, pp. 300-2) clotting <- data.frame( u = c(5,10,15,20,30,40,60,80,100), lot1 = c(118,58,42,35,27,25,21,19,18), lot2 = c(69,35,26,21,18,16,13,12,12)) model <- glm(lot1 ~ log(u), data=clotting, family=Gamma) res <- predict(model, clotting) I want to transfer the probabilities "0.00814 0.01877 0.025 0.02941 0.03563 ..." to a separate vector, how do I do this? ______________________________________________ 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.