>From: "Wang, Xiaojing" <[EMAIL PROTECTED]> >Date: 2008/03/26 Wed AM 10:08:01 CDT >To: "'r-help@r-project.org'" <r-help@r-project.org> >Subject: [R] pseudo R square and/or C statistic in R logistic regression
The analogue to the regression R rsquared in a GLM is the deviance. I don't know what C is but hopefully someone else does and will reply. Also, John Fox's text, "Applied Regression Analysis, Linear Models and Related Methods" and Modern Applied Statistics with S, by Bill Venables and Brian Ripley, both do a very nice job of covering GLM's so I would look at one of those tests for the technical details. Agresti is the supposed bible but I think those are quite sufficient. >Dear all, > >I am now doing the logistic regression using R. (glm, family=binomial). >Besides the standardize summary statistics generated from R, I am also >interested in some more informations concerning the model fitting / prediction >etc; Particularly I am interested in "pseudo R squar" and "C statistic". I >searched the R- help and could only get very limited information. (Post by >Frank Harrell mentioning about "the somers2 or rcorr.cens functions in the >Hmisc library." ) However, I tried but still could not get through it. Also I >found someone mentioned about do it manually. > >Could someone give me a more detailed information on how I could get these two >summary statistics after performed the the logistic regression using glm? > > >Thank you very much. > >*********************************************** >Xiaojing Wang PhD >Research Assistant Professor, Dept. of Oral Biology >School of Dental Medicine, University of Pittsburgh > >Suite 500, Bridgeside Point >100 Technology Drive >Pittsburgh, PA 15219 >Tel:412-648-9206 Fax:412-648-8779 >Email:[EMAIL PROTECTED] >*********************************************** > > > > > [[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. ______________________________________________ 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.
