You might want to look at the lrm function in the Design package as an alternative to the standard tools.
On 9/14/07, [EMAIL PROTECTED] <[EMAIL PROTECTED]> wrote: > > Google search "Logistic Regression using R" > > There are loads of good links here. Basically you use a generalized linear > model. > > Look up ?glm > > Regards > > Wayne > > -----Original Message----- > From: [EMAIL PROTECTED] > [mailto:[EMAIL PROTECTED] Behalf Of martin pareja > Sent: 13 September 2007 16:33 > To: r-help@r-project.org > Subject: [R] Logistic regression > > > Hello > I am trying to get the estimated value of logit(p), along with its > standard error/conf interval from a logistic regression model (for the > overall sample, and for individual treatment levels), where p is the > proportion of "successes". I am having difficulty in finding how to > tell R to give this information. > Would anybody be able to help with this? > > Thanks > Martin Pareja > > ______________________________________________ > 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. > > ______________________________________________ > 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. > -- ================================= David Barron Said Business School University of Oxford Park End Street Oxford OX1 1HP ______________________________________________ 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.
