Hi Guoya,

One more option, using Joshua's example, would be:

# install.packages('epicalc')
require(epicalc)
logistic.display(my.glm)

HTH,
Jorge


On Fri, Sep 24, 2010 at 1:50 PM, Li, Guoya <> wrote:

> Hi, I am new to R. Anyone can explain the following from R-help or
> anyone can direct me how to calculate odds ratio from logistic model in
> R. Thank you very much. Guoya
>
>
>
>
>
> Stefano <stecalza at tiscalinet.it
> <https://stat.ethz.ch/mailman/listinfo/r-help> > writes:
> >Hi all.
> >
> >A simple question.
> >Is there a function to compute the Odds Ratio and its confidence
> intervall, from
> >a logistic model (glm(.......,family=binomial....). I've written my
> own, but
> >certainly someone did a better job.
>
> I show a simple function to do this in my introductory notes available
> from:
>
>        http://www.myatt.demon.co.uk
>
> basically it is:
>
>        lreg.or <- function(model)
>          {
>          lreg.coeffs <- coef(summary(salex.lreg))
>          lci <- exp(lreg.coeffs[ ,1] - 1.96 * lreg.coeffs[ ,2])
>          or <- exp(lreg.coeffs[ ,1])
>          uci <- exp(lreg.coeffs[ ,1] + 1.96 * lreg.coeffs[ ,2])
>          lreg.or <- cbind(lci, or, uci)
>          lreg.or
>          }
>
>
>
>
>
>        [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@r-project.org mailing list
> 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.
>

        [[alternative HTML version deleted]]

______________________________________________
R-help@r-project.org mailing list
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.

Reply via email to