R help - Apr 2018 - about family=binomial in glm funtion

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 ycbind(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.

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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.
> 
> 	[[alternative HTML version deleted]]
> 
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