If you look at the code for summary.lm the line for the value of sigma is:
ans$sigma <- sqrt(resvar)
and above that we can see that resvar is defined as:
resvar <- rss/rdf
If that is not sufficient you can find how rss and rdf are computed in
the code as well.
On Tue, Apr 3, 2012 at 8:56 AM, John Sorkin <jsor...@grecc.umaryland.edu> wrote:
> Is the sigma from a lm, i.e.
>
> fit1 <- lm(y~x)
> summary(fit1)
> summary(fit1)$sigma
>
> the RMSE (root mean square error)
>
> Thanks,
> John
>
> John David Sorkin M.D., Ph.D.
> Chief, Biostatistics and Informatics
> University of Maryland School of Medicine Division of Gerontology
> Baltimore VA Medical Center
> 10 North Greene Street
> GRECC (BT/18/GR)
> Baltimore, MD 21201-1524
> (Phone) 410-605-7119
> (Fax) 410-605-7913 (Please call phone number above prior to faxing)
>
> Confidentiality Statement:
> This email message, including any attachments, is for ...{{dropped:14}}
______________________________________________
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.
