On Thu, Nov 24, 2011 at 2:48 PM, Liviu Andronic <landronim...@gmail.com> wrote: > Dear all > I have a work-flow issue with lm(). When I use >> lm(y1~x1, anscombe) > > Call: > lm(formula = y1 ~ x1, data = anscombe) > > Coefficients: > (Intercept) x1 > 3.0001 0.5001 > > > I get as expected the formula, "y1 ~ x1", in the print()ed results or > summary(). However, if I pass through a formula object >> (form <- formula(y1~x1)) > y1 ~ x1 >> lm(form, anscombe) > > Call: > lm(formula = form, data = anscombe) > > Coefficients: > (Intercept) x1 > 3.0001 0.5001 > > > then I only get the object name in the call, 'form', instead of the > formula. When passing a 'formula' object to lm, is it possible to > retain in the resulting 'lm' object the actual formula used for the > regression: "y1 ~ x1"? >
Try this: > form <- formula(y1~x1) > do.call("lm", list(form, quote(anscombe))) Call: lm(formula = y1 ~ x1, data = anscombe) Coefficients: (Intercept) x1 3.0001 0.5001 -- Statistics & Software Consulting GKX Group, GKX Associates Inc. tel: 1-877-GKX-GROUP email: ggrothendieck at gmail.com ______________________________________________ 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.