R help - Jan 2010 - List arguments from data frame columns in formula

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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Try this:

glm(y ~ ., family = binomial, data = data, ...)

On Tue, Jan 12, 2010 at 9:45 AM, npobedina <npobedina at 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
> --
> View this message in context:
http://n4.nabble.com/List-arguments-from-data-frame-columns-in-formula-tp1012146p1012146.html
> Sent from the R help mailing list archive at Nabble.com.
>
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