R help - Nov 2011 - getting R2 (goodness of fit) result after using biglm()

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

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


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On Tue, Nov 15, 2011 at 7:34 AM, sean st.clair
<seanstclair1@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.
>
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