Hei, I just wonder the use of family=binomial in glm function. As I learned from book (e.g. Andy Field) that logistic regression (binary logit) can use glm funtion with family = binomial. Here the y is a factor variable (e.g. value = 1 or 2).
But I have also seen i many other cases, same function glm with family=binomial, but y is a variable with several column , like y= cbind(y1, y2), and here y1 and y2 are the success number, failure number respectively. What is the difference between these cases ? For my opinion the first one is a logit model, and second one is a binomial probability model , right? Many thanks. [[alternative HTML version deleted]] ______________________________________________ Rfirstname.lastname@example.org mailing list -- To UNSUBSCRIBE and more, see 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.