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]]
______________________________________________
R-help@r-project.org 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.
---------------------------------------------------------------------------
Jeff Newmiller The ..... ..... Go Live...
DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go...
Live: OO#.. Dead: OO#.. Playing
Research Engineer (Solar/Batteries O.O#. #.O#. with
/Software/Embedded Controllers) .OO#. .OO#. rocks...1k
______________________________________________
R-help@r-project.org 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.
