[R] Similar function for Redun() from Hmisc ?

Frank Harrell f.harrell at vanderbilt.edu
Tue Nov 22 15:09:43 CET 2011

Specifying nk=0 to force all effects to be linear will speed things up.

aajit75 wrote
> Hi List,
> Working on the large data frame (number of records=35000 and number of
> variables=160).
> Using redun() for dropping variables before using into model.
> V <- redun(~., data = data.frame, r2 = 0.8)
> It takes enormously high time for execution, is there anything wrong in
> the script?
> Suggest any other similar function available for dropping redundant
> variables. 
> Thanks in advance!
> ~A

Frank Harrell
Department of Biostatistics, Vanderbilt University
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