One fairly easy option is to just center and scale each of the x-variables, then fit your model on the transformed variables. This works best if your x-variables are roughly symmetric mound shaped and could be meaningless if any of the x-variables is highly skewed or has outliers.
On Thu, Jul 11, 2013 at 4:52 PM, TomW87 <thomaswies...@gmx.net> wrote: > Hello, > > I have estimated the coefficients for my model using the 'pggls' function > from the 'plm' package. Now I want to see the relative influence of those > X's. How can some please tell me how to standardize those my results in R? > > Thank you! > > > > -- > View this message in context: > http://r.789695.n4.nabble.com/Standardize-GLS-coefficients-in-R-tp4671371.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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. > -- Gregory (Greg) L. Snow Ph.D. 538...@gmail.com [[alternative HTML version deleted]] ______________________________________________ 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.
