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.
Dropping predictor variables based on adjusted R square
2 messages · Shivi82, Jim Lemon
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 <shivibhatia at 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.
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