> 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] 0.0080142 NA
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. HTH, Dennis On Fri, Jan 29, 2010 at 6:04 AM, wenjun zheng <wjzhen...@gmail.com> 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 * > *F-statistic: 0.01819 on 1 and 17 DF, p-value: 0.8943 * > * > * > Any suggestions will be appreciated. Thanks. > > Wenjun > > [[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. > [[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.
