Try this:
glm(y ~ ., family = binomial, data = data, ...)
On Tue, Jan 12, 2010 at 9:45 AM, npobedina <npobed...@gmail.com> wrote:
>
> Hi!
> I'm trying to run logistic regression on a dataset which is contained in
> dataframe "data" ("y" is in the first col, and 28 parameters for the model).
> How can I write formula for function `glm` without listing explicitly all 28
> paramaters?
> `glm(data[,1]~data[,2]+data[,3]+data[,4]+...,family=binomial)`
>
> As an option I can use `glm.fit(data[,-1],data[,1],family =
> binomial(link=logit))`. But the obtained object cannot be used in function
> `predict.glm`.
>
> Thanks,
> Natalia
> --
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