Hi Jeff;
Thanks so much for this. I would try to reformulate what you suggested.
Your help is highly appreciated
Regards,
Greg
On Sun, Jan 27, 2019 at 8:16 PM Jeff Newmiller <jdnewmil at
dcn.davis.ca.us>
wrote:
> I haven't found much call to mess with this, but I think the built-in
> "glm" function could do it. You might have to reformulate the
inputs to
> outcome/observation (ratio) and outcome+observation (weight) to get glm to
> accept it [1]... but I am not sure. What I am somewhat more sure of is
> that your description sounds an awful lot like a q-q plot which is one of
> the standard outputs when you plot a regression model.
>
> [1]
>
>
https://stats.stackexchange.com/questions/322038/input-format-for-binomial-glm-in-r
>
>
> On Fri, 25 Jan 2019, greg holly wrote:
>
> > Hi Dear all;
> >
> > I have binomially distributed data (a small portion is given below)
and I
> > would like to create a distribution plot for positive deviance with
> > "Probability of results" at Y axis and "percentage of
outcome" at the
> > x-axis. I wondered anyone knows the name of R library for this.
> >
> > Regards,
> >
> > Greg
> >
> > provider outcome observation
> > 1 14 27
> > 2 11 33
> > 3 9 17
> >
> > [[alternative HTML version deleted]]
> >
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> >
>
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