R help - Aug 2009 - generalized linear models

Hi, R users,

I am trying to use glm to do logistic regression. I know generally when I
have two covariates, say x1 and x2, then I do
fit <- glm(y~x1+x2,famliy='binomial')
But now my covariates form a n*p matrix, say x, so actually each column is a
covariate. So I think I should do
fit <- glm(y~x,family='binomial')
Then I need to predict new data. How should I write the newdata? I tried
several thing, all failed. The x in the fit is a matrix, but is a vector for
the new data.

Thank you,
Annie

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Hi Annie,

create a new data.frame with input variables having all predictors variables
on it.
after give a look at ?predict

best wishes

milton

On Fri, Aug 7, 2009 at 8:19 PM, annie Zhang
<annie.zhang2010@gmail.com>wrote:
> Hi, R users,
>
> I am trying to use glm to do logistic regression. I know generally when I
> have two covariates, say x1 and x2, then I do
> fit <- glm(y~x1+x2,famliy='binomial')
> But now my covariates form a n*p matrix, say x, so actually each column is
> a
> covariate. So I think I should do
> fit <- glm(y~x,family='binomial')
> Then I need to predict new data. How should I write the newdata? I tried
> several thing, all failed. The x in the fit is a matrix, but is a vector
> for
> the new data.
>
> Thank you,
> Annie
>
>        [[alternative HTML version deleted]]
>
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>
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