The source code for print.summary.lm and summary.lm is in the file /src/library/stats/R/lm.R of the R source code, which you can download from CRAN if you don't have it already. The file lm.R is also at https://svn.r-project.org/R/trunk/src/library/stats/R/lm.R
On Fri, 28 Sep 2007, Sergey Goriatchev wrote: > Hello, > > For my functions I want to create output similar in appearance to that > of what you get when you print a summary of lm model: > > Residuals: > Min 1Q Median 3Q Max > -0.209209 -0.043133 0.001793 0.044105 0.234750 > > Coefficients: > Estimate Std. Error t value Pr(>|t|) > (Intercept) 0.981762 0.004089 240.103 < 2e-16 *** > Factor 1 -0.009581 0.006381 -1.501 0.134296 > Factor 2 -0.008993 0.009182 -0.979 0.328163 > Factor 3 0.029960 0.009547 3.138 0.001866 ** > Factor 4 -0.026575 0.007370 -3.606 0.000363 *** > Factor 5 -0.004847 0.006382 -0.760 0.448138 > Factor 6 0.005099 0.006483 0.786 0.432202 > --- > Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 > > I want: > 1) no $ before the list component names > 2) component names that take values from outside variables > (ex.: number <- 10 > There are 'number' factors in the model:) > > There is not much information on how to create nice output in terms of > lists, so I was looking for core to write the summary(lm) output, but > could not find much. Obviously, I can type summary.lm, but it does not > show how to create the name "Coefficients:" > > Could someone give me pointers on how to create nice lists? > > Thanks > Sergey > > ______________________________________________ > 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. > ______________________________________________ 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.