| To: | "Kim, YunSuk" <YunSuk.Kim@oregonstate.edu>, <s-news@lists.biostat.wustl.edu> |
|---|---|
| Subject: | Re: Adjusted R square |
| From: | "Barker, Chris" <Chris.Barker@cvt.com> |
| Date: | Fri, 27 Feb 2009 14:58:29 -0800 |
| In-reply-to: | <0D23978FCA08B2499683B67DADE76B01AF256E@SAGE.forestry.oregonstate.edu> |
| Thread-index: | AcmZLgEr6r31ENX9SoSRdWezgxtQZgAAKJ3w |
| Thread-topic: | [S] Adjusted R square |
|
You can get the adjusted R^2 from the ols() function in the
HMISC library.
From: s-news-owner@lists.biostat.wustl.edu [mailto:s-news-owner@lists.biostat.wustl.edu] On Behalf Of Kim, YunSuk Sent: Friday, February 27, 2009 2:52 To: s-news@lists.biostat.wustl.edu Subject: [S] Adjusted R square Hi all,
Earlier I asked for a method to
obtain Partial R square for each variable in a model. I also need the
adjusted R square value from a regression model.
In the archive, I found someone gave the
code;
test <-(summary(model1))$adj.r.squared When I tried this, I got NULL. Has
the function changed since last 4 years or so? If anyone can show me how
to obtain adjusted R2 (and Partial R2 too), i really appreciate it.
Thank you for any help!
yuni
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