[R] Logistic Regression
liuwensui at gmail.com
Tue Jan 26 00:38:13 CET 2016
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
> If you only have proportions without an integer sample size then you
> may want to switch to using beta regression instead of logistic
> On Sat, Jan 23, 2016 at 1:41 PM, pari hesabi <statistics84 at hotmail.com
> > 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]]
> > ______________________________________________
> more, see
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> > and provide commented, minimal, self-contained, reproducible code.
> Gregory (Greg) L. Snow Ph.D.
> more, see
> PLEASE do read the posting guide
> and provide commented, minimal, self-contained, reproducible code.
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