On 07-Jul-08 13:38:12, rlearner309 wrote: > > I have a simple regression using lm(). > If I just want to check the coefficient, I can use summary(lm())$coef; > if I need the standard error, I can use summary(lm())$s, if I need > the residuals, I can use summary(lm())$res. OK. How can I get the > R-squares and Adjusted R-squares using $...? > Is there a function, like objects(), that can show all the references > for values? > > Thanks a lot!
A useful function is str(), which displays the components of an object. Example: > X<-rnorm(10);Y<-rnorm(10) > LM<-lm(Y~X) > sumLM<-summary(LM) > str(sumLM) List of 11 $ call : language lm(formula = Y ~ X) $ terms :Classes 'terms', 'formula' length 3 Y ~ X .. ..- attr(*, "variables")= language list(Y, X) .. ..- attr(*, "factors")= int [1:2, 1] 0 1 .. .. ..- attr(*, "dimnames")=List of 2 .. .. .. ..$ : chr [1:2] "Y" "X" .. .. .. ..$ : chr "X" .. ..- attr(*, "term.labels")= chr "X" .. ..- attr(*, "order")= int 1 .. ..- attr(*, "intercept")= int 1 .. ..- attr(*, "response")= int 1 .. ..- attr(*, ".Environment")=<R_GlobalEnv> .. ..- attr(*, "predvars")= language list(Y, X) .. ..- attr(*, "dataClasses")= Named chr [1:2] "numeric" "numeric" .. .. ..- attr(*, "names")= chr [1:2] "Y" "X" $ residuals : Named num [1:10] 0.086 -0.345 -1.542 -0.168 -0.894 ... ..- attr(*, "names")= chr [1:10] "1" "2" "3" "4" ... $ coefficients : num [1:2, 1:4] 0.270 -0.289 0.387 0.321 0.699 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:2] "(Intercept)" "X" .. ..$ : chr [1:4] "Estimate" "Std. Error" "t value" "Pr(>|t|)" $ aliased : Named logi [1:2] FALSE FALSE ..- attr(*, "names")= chr [1:2] "(Intercept)" "X" $ sigma : num 1.06 $ df : int [1:3] 2 8 2 $ r.squared : num 0.0921 $ adj.r.squared: num -0.0213 $ fstatistic : Named num [1:3] 0.812 1.000 8.000 ..- attr(*, "names")= chr [1:3] "value" "numdf" "dendf" $ cov.unscaled : num [1:2, 1:2] 0.1322 -0.0541 -0.0541 0.0912 ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:2] "(Intercept)" "X" .. ..$ : chr [1:2] "(Intercept)" "X" - attr(*, "class")= chr "summary.lm" >From which you can see that the R-squared and Adjusted R-squared are available as summary(LM)$r.squared and summary(LM)$adj.r.squared Hoping this helps, Ted. -------------------------------------------------------------------- E-Mail: (Ted Harding) <[EMAIL PROTECTED]> Fax-to-email: +44 (0)870 094 0861 Date: 07-Jul-08 Time: 15:28:19 ------------------------------ XFMail ------------------------------ ______________________________________________ [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 and provide commented, minimal, self-contained, reproducible code.
