[R] R glm

Paul Johnson pauljohn at ku.edu
Thu Sep 23 19:04:26 CEST 2004


No!

 > ?family

  The 'gaussian' family accepts the links '"identity"', '"log"' and
           '"inverse"';

Kahra Hannu wrote:
> In Venables & Ripley: Modern Applied Statistics with S (MASS), (4th edition), on page 184 there is a table "Families and link functions" that gives you the available links with different families. The default and the only link with the gaussian family is identity.
> 
> ciao,
> Hannu Kahra
> 
> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch
> [mailto:r-help-bounces at stat.math.ethz.ch]On Behalf Of Shuangge Ma
> Sent: Thursday, September 23, 2004 6:26 PM
> To: r-help at stat.math.ethz.ch
> Subject: [R] R glm
> 
> 
> Hello:
> would you please help me with the following glm question?
> 
> for the R function glm, what I understand is: once you specify the
> "family", then the link function is fixed.
> 
> My question is: is it possible I use, for example, "log" link function,
> but the estimation approach for the guassian family?
> 
> Thanks,
> 
> Shuangge Ma, Ph.D.
> ********************************************
> * CHSCC, Department of Biostatistics       *
> * University of Washington                 *
> * Building 29, Suite 310, 6200 NE 74th ST. *
> * Seattle, WA 98115                        *
> * Tel: 206-685-7123 Fax: 206-616-4075      *
> 
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
> 
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html


-- 
Paul E. Johnson                       email: pauljohn at ku.edu
Dept. of Political Science            http://lark.cc.ku.edu/~pauljohn
1541 Lilac Lane, Rm 504
University of Kansas                  Office: (785) 864-9086
Lawrence, Kansas 66044-3177           FAX: (785) 864-5700




More information about the R-help mailing list