1. Statistically, you probably don't want to do this at all (but that's another story).
2. Programatically, you probably want to use one of several packages that do it already rather than trying to reinvent the wheel. A quick search on rseek.org for "all subsets regression" brought up this: http://rpubs.com/kaz_yos/all-subset Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Fri, Nov 4, 2016 at 9:53 AM, paolo brunori <paolo.brun...@uniba.it> wrote: > Suppose I have the following data: > > y<-rnorm(10) > age<-rnorm(10) > sex<-rbinom(10,1, 0.5) > edu<-round(runif(10, 1, 20)) > edu2<-edu^2 > > df<-data.frame(y,age,sex,edu,edu2) > > I want to run a large number of models, for example: > > lm(y~age) > lm(y~age+sex) > lm(y~age+sex+edu) > lm(y~age+sex+edu+edu2) > lm(y~sex+edu2) > lm(y~age+edu+edu2) > .... > > But I would like to first define a list containing all possible sets of > regressors, and then execute each one in a loop/lapply. Unfortunately I got > lost in trying to paste variables' name in the formula with no result. > > many thanks in advance. > > paolo > > > > -- > Paolo Brunori > Ricercatore in Economia Politica & Life Course Centre Fellow > Dipartimento di Scienze Economiche - Università di Bari > www.uniba.it/docenti/brunori-paolo > www.equalchances.org > www.lifecoursecentre.org.au > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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 -- To UNSUBSCRIBE and more, see 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.
