Heather Maughan <[EMAIL PROTECTED]> writes: > Hello: > > I want to use values from the output of linear models done using permuted > data to construct a random distribution. The problem I am having is the > extraction of a value, say the p-value or the regression coefficient, from > the summary of a linear model. When summarizing a linear model I get this: > > Call: > lm(formula = fitness ~ mm) > > Residuals: > Min 1Q Median 3Q Max > -0.57369 -0.17551 -0.01602 0.15723 0.68844 > > Coefficients: > Estimate Std. Error t value Pr(>|t|) > (Intercept) 1.783440 0.074052 24.084 < 2e-16 *** > mm -0.004272 0.001456 -2.933 0.00662 ** > --- > Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 > > Residual standard error: 0.3261 on 28 degrees of freedom > Multiple R-Squared: 0.2351, Adjusted R-squared: 0.2077 > F-statistic: 8.604 on 1 and 28 DF, p-value: 0.006621 > > How do I pick out the p-value, or the R-squared using R code?
Take a look inside the print method for summary.lm objects (getAnywhere(print.summary.lm)). Notice that the the x$fstatistic is there but the p value is being calculated by the print method. -- O__ ---- Peter Dalgaard Blegdamsvej 3 c/ /'_ --- Dept. of Biostatistics 2200 Cph. N (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907 ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
