[R] Logistic Regression

[Greg Snow]

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> 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]]
>
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-- 
Gregory (Greg) L. Snow Ph.D.
538280 at gmail.com