http://finzi.psych.upenn.edu/R/library/QuantPsyc/html/Make.Z.html
Make.Z in the QuantPsych package may already do it. --- On Sun, 11/29/09, Karsten Wolf <w...@uni-bremen.de> wrote: > From: Karsten Wolf <w...@uni-bremen.de> > Subject: [R] How to z-standardize for subgroups? > To: r-help@r-project.org > Received: Sunday, November 29, 2009, 10:41 AM > Hi folks, > I have a dataframe df.vars with the follwing structure: > > > var1 var2 var3 group > > Group is a factor. > > Now I want to standardize the vars 1-3 (actually - there > are many more) by class, so I define > > z.mean.sd <- function(data){ > return.values <- (data - > mean(data)) / (sd(data)) > return(return.values) > } > > now I can call for each var > > z.var1 <- by(df.vars$var1, group, z.mean.sd) > > which gives me the standardised data for each subgroup in a > list with the subgroups > > z.var1 <- unlist(z.var1) > > then gives me the z-standardised data for var1 in one > vector. Great! > > Now I would like to do this for the whole dataframe, but > probably I am not thinking vectorwise enough. > > z.df.vars <- by(df.vars, group, z.mean.sd) > > does not work. I banged my head on other solutions trying > out sapply and tapply, but did not succeed. Do I need to > loop and put everything together by hand? But I want to keep > the columnnames in the vector… > > -karsten > > > --------------------------------------------------------------------------------------------- > Karsten D. Wolf > Didactical Design of Interactive > Learning Environments > Universität Bremen - Fachbereich 12 > web: http://www.ifeb.uni-bremen.de/wolf/ > > ______________________________________________ > 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. > __________________________________________________ Do You Yahoo!? Tired of spam? ______________________________________________ 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.