Very useful code to investigate not only my problem ! I'll use it and keep it in mind for future works.
Thank you very much for your help. And of course for the rest : packages, open-courses... among others ! Very helpful too. (Sorry for the wide dataset. I thought it would be attached and maybe useful but saw it entirely pasted in my daily report ; I didn't know that would occur) Kind regards. Marc >Marc, > >In this particular case the code alone would have been sufficient. > >To isolate the problem try the following: > >require(Hmisc) >v <- varclus(~ variable1 + variable2 + ... all other variables given to >aregImpute, data=...) >plot(v) > >redun(~variable1 + variable2 + ... all others, data=...) > >Frank ______________________________________________ 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.
