Am 06.02.2008 um 21:00 schrieb Tyler Smith: > On 2008-02-06, Birgit Lemcke <[EMAIL PROTECTED]> wrote: >> >> I am using R 2.6.1 on a PowerBook G4. >> I would like to perform a discriminant function analysis. I found lda >> in MASS but as far as I understood, is it only working with >> explanatory variables of the class factor. > > I think you are mistaken. If you reread the help for lda() you'll see > that the grouping has to be a factor, but the explanatory variables > should be numeric.
oh yeah your completely right. It seems that I had some tomatoes on my eyes. > >> My dataset contains variables of the classes factor and numeric. Is >> there another function that is able to handle this? > > The numeric variables are fine. The factor variables may have to be > recoded into dummy binary variables, I'm not sure if lda() will deal > with them properly otherwise. But aren´t binary variables also factors? Or is there another variable class than factor or numeric? Do I have have to set the classe of the binaries as numeric? Thanks for your help Birgit > > HTH, > > Tyler > > ______________________________________________ > 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. Birgit Lemcke Institut für Systematische Botanik Zollikerstrasse 107 CH-8008 Zürich Switzerland Ph: +41 (0)44 634 8351 [EMAIL PROTECTED] 175 Jahre UZH «staunen.erleben.begreifen. Naturwissenschaft zum Anfassen.» MNF-Jubiläumsevent für gross und klein. 19. April 2008, 10.00 Uhr bis 02.00 Uhr Campus Irchel, Winterthurerstrasse 190, 8057 Zürich Weitere Informationen www.175jahre.uzh.ch ______________________________________________ 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.
