[R] pseudo R square and/or C statistic in R logistic regression

From: Xiaojing Wang <timanwang_at_gmail.com>
Date: Wed, 26 Mar 2008 11:12:47 -0400


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:xiw23_at_pitt.edu


     

        [[alternative HTML version deleted]]



R-help_at_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. Received on Wed 26 Mar 2008 - 15:14:16 GMT

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.2.0, at Wed 26 Mar 2008 - 16:30:24 GMT.

Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.

list of date sections of archive