You might want to look at https://stat.ethz.ch/pipermail/r-help/2012-April/310582.html
Bill Dunlap Spotfire, TIBCO Software wdunlap tibco.com > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On > Behalf > Of Marc Schwartz > Sent: Wednesday, May 23, 2012 12:13 PM > To: Peter Ehlers > Cc: r-help@r-project.org; jdub > Subject: Re: [R] Get variable names from results of lm() > > > On May 23, 2012, at 1:42 PM, Peter Ehlers wrote: > > > On 2012-05-23 09:55, R. Michael Weylandt wrote: > >> I think the easiest that comes to mind is simply > >> > >> names(coef(myMod)) > >> > >> But did you look at myMod$terms[[3]] ? That seems to be the RHS of the > >> formula input (in the few cases I tried) > >> > >> Best, > >> Michael > > > > It depends a bit on just what the OP wants. In case one of the > > predictors is a factor, say 'grp' with levels c('A','B','C'), the > > coefs will include the names 'grpB' and 'grpC'. If only the > > name 'grp' is wanted, one could use myMod$terms[[3]] or > > equivalently formula(myMod)[[3]]. It might be instructive for the > > OP to look at as.list(formula(myMod)). formula(myMod) is a > > language object which has the tilde operator operate on > > the LHS (component 2) and the RHS (component 3). > > > > Peter Ehlers > > > Just to throw out another solution here, the function ?all.vars is helpful: > > LM <- lm(Petal.Length ~ ., data = iris) > > > formula(LM) > Petal.Length ~ Sepal.Length + Sepal.Width + Petal.Width + Species > > > all.vars(formula(LM)) > [1] "Petal.Length" "Sepal.Length" "Sepal.Width" "Petal.Width" > [5] "Species" > > > Regards, > > Marc Schwartz > > > >> On Wed, May 23, 2012 at 10:58 AM, jdub<j...@ramas.com> wrote: > >>> > >>> What is the best way to get the variable names used in lm() from its > >>> results? > >>> > >>> Stumbling around I found I could get the response variable name from > >>> > >>> myMod$terms[[2]] > >>> > >>> but using > >>> > >>> myMod$terms[[1 ]] > >>> > >>> gives a tilda. > >>> > >>> I found the names buried in other places in the model object and in the > >>> summary of the model, but is there a more direct way, similar to using > >>> coef(myMod) to get the coefficients? > > ______________________________________________ > 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.