Hi Shiv82, For a start, look at the "step" function in the stats package. There are a number of functions in other packages that offer different variable selection procedures.
Jim On Thu, May 14, 2015 at 9:35 PM, Shivi82 <shivibha...@ymail.com> wrote: > Hello experts, > > I have recently (1month) started using R. Earlier I was using SAS to work on > analytic assignments. > In SAS there is an option - forward selection, backward selection, step wise > selection where in it removes the least impacting predictor variable from > the set of variables based on adjusted r square and leaves us with the > highest impacting variables to predict. > Is there any similar functionality or function in R studio. Kindly suggest. > Thanks. > > > > -- > View this message in context: > http://r.789695.n4.nabble.com/Dropping-predictor-variables-based-on-adjusted-R-square-tp4707186.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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.
