Dear Simon, In my opinion, standardized coefficients only offer the illusion of comparison for quantitative explanatory variables, since there's no deep reason that the standard deviation of one variable has the same meaning as the standard deviation of another. Indeed, if the variables are in the same units of measurement in the first place, permitting direct comparison of unstandardized coefficients, then separate standardization of each X is like using a rubber ruler.
That said, as you point out, it makes no sense to standardize the dummy regressors for a factor, so you can just standardize the quantitative variables (Y and X's) in the regression equation. I hope that this helps, John -------------------------------- John Fox Department of Sociology McMaster University Hamilton, Ontario Canada L8S 4M4 905-525-9140x23604 http://socserv.mcmaster.ca/jfox -------------------------------- > -----Original Message----- > From: [EMAIL PROTECTED] > [mailto:[EMAIL PROTECTED] On Behalf Of Simon P. Kempf > Sent: Wednesday, February 07, 2007 9:27 AM > To: r-help@stat.math.ethz.ch > Subject: [R] enhanced question / standardized coefficients > > Hello, > > > > I would like to repost the question of Joerg: > > > > Hello everybody, > > a question that connect to the question of Frederik Karlsons > about 'how to stand. betas' > With the stand. betas i can compare the influence of the > different explaning variables. What do i with the betas of > factors? I can't use the solution of JohnFox, because there > is no sd of an factor. How can i compare the influence of the > factor with the influence of the numeric variables? > > I got the same problem. In my regression equation there are > several categorical variables and I would like to compute > the standard coefficients. How can I do this? > > > > Simon > > > > > > > > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@stat.math.ethz.ch 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. ______________________________________________ R-help@stat.math.ethz.ch 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.