R help - Jan 2020 - issue with Rcmdr

Glad to hear it now works for you.  But speaking more generally, note that
R-squared is the squared correlation between the predicted Y and actual Y
values.  E.g.

lmout <- lm(y ~ x)
print(cor(lmout$fitted.values,y)^2)

One can use this in any regression setting, even machine learning methods.

Norm

... and even more generally, is generally misleading. ;-)

(search "problems with R^2" or similar for why).

Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Wed, Jan 8, 2020 at 9:37 AM Norm Matloff <nsmatloff at ucdavis.edu>
wrote:
> Glad to hear it now works for you.  But speaking more generally, note that
> R-squared is the squared correlation between the predicted Y and actual Y
> values.  E.g.
>
> lmout <- lm(y ~ x)
> print(cor(lmout$fitted.values,y)^2)
>
> One can use this in any regression setting, even machine learning methods.
>
> Norm
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> 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]]