[R] Logistic Regression

John C Frain frainj at gmail.com
Sat Jan 23 22:08:48 CET 2016


Alternatively you might use log(p/1-p) as your dependent variable and use
OLS with robust standard errors. Much of your inference would be analogous
to a logistic regression

John C Frain
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On 23 January 2016 at 20:46, David Winsemius <dwinsemius at comcast.net> wrote:

>
> > On Jan 23, 2016, at 12:41 PM, pari hesabi <statistics84 at hotmail.com>
> wrote:
> >
> > Hello everybody,
> >
> > I am trying to fit a logistic regression model by using glm() function
> in R. My response variable is a sample proportion NOT binary numbers(0,1).
>
> So multiply the sample proportions (and 1-proportions) by the number of
> samples, round to integers, you will have an appropriate response variable
> and complements, and you can fit a binomial model.
>
> >
> > Regarding glm() function, I receive this error:  non integer # successes
> in a binomial glm!
> >
> > I would appreciate if anybody conducts me.
> >
> >
> > Regards,
> >
> > Pari
> >
> >       [[alternative HTML version deleted]]
> --
>
> David Winsemius
> Alameda, CA, USA
>
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