Thanks, I get it.
Wenjun, ZHENG
2010/1/29 Dennis Murphy
> > x <- 1:10
> > y <- 2 + 1.5 * rnorm(10, x, 2)
> > m <- lm(y ~ x)
> > summary(m)$r.squared
> [1] 0.6056889
> > anova(m)$'Pr(>F)'
> [1] 0.0080142NA
>
> Components of the summary() and anova() methods of lm() can be extracted.
> Se
> x <- 1:10
> y <- 2 + 1.5 * rnorm(10, x, 2)
> m <- lm(y ~ x)
> summary(m)$r.squared
[1] 0.6056889
> anova(m)$'Pr(>F)'
[1] 0.0080142NA
Components of the summary() and anova() methods of lm() can be extracted.
See
names(summary(m))
names(anova(m))
to see the components one can extract.
H
On 1/29/2010 9:04 AM, wenjun zheng wrote:
> Hi, R Users
>
> I find a problem in extracting the R-squared and P-value from the lm results
> described below (in Italic),
>
> *Residual standard error: 2.25 on 17 degrees of freedom*
> *Multiple R-squared: 0.001069, Adjusted R-squared: -0.05769 *
>
Hi, R Users
I find a problem in extracting the R-squared and P-value from the lm results
described below (in Italic),
*Residual standard error: 2.25 on 17 degrees of freedom*
*Multiple R-squared: 0.001069, Adjusted R-squared: -0.05769 *
*F-statistic: 0.01819 on 1 and 17 DF, p-value: 0.8943 *
*
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