Hello Sean, It appears that you can fetch it using: summary(a)$rsq
Full code: require(biglm) data(trees) ff<-log(Volume)~log(Girth)+log(Height) a <- biglm(ff,trees) summary(a)$rsq summary(lm(ff,trees))$r.squared # we get the same result To see how it is computed, have a look at: getAnywhere(summary.biglm) Cheers, Tal ----------------Contact Details:------------------------------------------------------- Contact me: tal.gal...@gmail.com | 972-52-7275845 Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | www.r-statistics.com (English) ---------------------------------------------------------------------------------------------- On Tue, Nov 15, 2011 at 7:34 AM, sean st.clair <seanstcla...@gmail.com>wrote: > Hello. I had been struggling with running linear regression using > lm() primarily because my data has a few categorical variables with at > least a thousand levels. > > I tried the biglm() function and it worked. > > My problem now is that i don't know how to get the R2 results. Could > someone help? > > Thanks, > sean > > ______________________________________________ > 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. > [[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.
