Hi everyone, I've relatively new to R, and i'm trying to use it to perform a Principal Components analysis (PCA) I've done this using WEKA previously, and now i'm trying to do so using R's prcomp and princomp (both options would work for me).
One problem i've found is that while WEKA PCA allows us to specify a class / outcome variable / column for the dataset, apparently R project (both prcomp and princomp) don't. I've read through a number of documents including this <http://cran.r-project.org/web/packages/HSAUR/vignettes/Ch_principal_components_analysis.pdf> with limited success, so wanted to raise this question here. How does one set the class variable when performing a PCA ? Any advice would be greatly appreciated ! -- Best Regards, Suranga [[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.
