Hi Gabor, Thanks for your input. It is of some help if not all.
fit = lm(y~1, data) out = capture.output(new.fit = step(fit, direction="forward", scope=y~x1+x2+x3)) Here the assignments made inside the capture.output function are no longer valid once I came out of it, i.e. there is no object called 'new.fit' in the global environment. I want to have at least the final model as "new.fit", which is not very efficient to extract from "out" object (of course I don't want to run "step" function again separately to get "new.fit"). Is there any way of doing it? It will be a bonus if, somehow, I can have all the intermediate iterations also as R objects. Thanks in advance. Gabor Grothendieck wrote: > Try this: > > out <- capture.output(example(step)) > > > On Mon, May 18, 2009 at 9:11 AM, utkarshsinghal > <utkarsh.sing...@global-analytics.com> wrote: > >> Hi all, >> >> I am performing a stepwise regression by running the "step" function on an >> "lm" object. Now I want to save the intermediate iterations. I know the >> argument trace=T will print it on the console, but I rather want to assign >> it to some R object or may be output it in a CSV or text file. >> >> Any help will be appreciated. >> >> Regards >> Utkarsh >> >> ______________________________________________ >> 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.
