On 14/04/2018 5:33 PM, Zhang Wilson wrote:
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 I'd suggest is that you read the documentation. In this case ?glm
doesn't give the answer, but it links to ?family, which does.
Duncan Murdoch
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.
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