[R] Logistic Regression

[Wensui Liu]

But beta can only be used to model the open interval between zero and one

On Monday, January 25, 2016, Greg Snow <538280 at gmail.com> wrote:

> Do you have the sample sizes that the sample proportions were computed
> from (e.g. 0.5 could be 1 out of 2 or 100 out of 200)?
>
> If you do then you can specify the model with the proportions as the y
> variable and the corresponding sample sizes as the weights argument to
> glm.
>
> If you only have proportions without an integer sample size then you
> may want to switch to using beta regression instead of logistic
> regression.
>
> On Sat, Jan 23, 2016 at 1:41 PM, pari hesabi <statistics84 at hotmail.com
> <javascript:;>> 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).
> >
> > 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]]
> >
> > ______________________________________________
> > R-help at r-project.org <javascript:;> mailing list -- To UNSUBSCRIBE and
> more, see
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> > PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
>
>
>
> --
> Gregory (Greg) L. Snow Ph.D.
> 538280 at gmail.com <javascript:;>
>
> ______________________________________________
> R-help at r-project.org <javascript:;> mailing list -- To UNSUBSCRIBE and
> more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>


-- 
WenSui Liu
https://statcompute.wordpress.com/

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