There are some pointers to packages for variable selection in the task view for Chemometrics and Computational Physics at http://cran.r-project.org/web/views/ChemPhys.html
On Sun, 21 Sep 2008, Gareth Campbell wrote: > Hello all, > > I'm dealing with geochemical analyses of some rocks. > > If I use the full composition (31 elements or variables), I can get > reasonable separation of my 6 sources. Then when I go onto do LDA with the > 6 groups, I get excellent separation. > > I feel like I should be reducing the variables to thos that are providing > the most discrimination between the groups as this is important information > for me. I struggle to interpret the PCA plot in a way that helps me (due to > the large number of elements). So I'm trying to do some sort of step-wise > variable selection. > > I would love to hear from someone (possibly a geochemist or similar) who > does this regularly to determine the best course of action in R to do this. > > > Thanks very much > > > -- > Gareth Campbell > PhD Candidate > The University of Auckland > > P +649 815 3670 > M +6421 256 3511 > E [EMAIL PROTECTED] > [EMAIL PROTECTED] > > [[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. > ______________________________________________ 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.
