See: ?prcomp ?princomp
On Tue, Dec 9, 2008 at 5:34 AM, Harsh <[EMAIL PROTECTED]> wrote: > Hello All, > I am trying to carry out variable reduction. I do not have information > about the dependent variable, and have only the X variables as it > were. > In selecting variables I wish to keep, I have considered the following > criteria. > 1) Percentage of missing value in each column/variable > 2) Variance of each variable, with a cut-off value. > > I recently came across Weka and found that there is an RWeka package > which would allow me to make use of Weka through R. > Weka provides a "Genetic search" variable reduction method, but I > could not find its R code implementation in the RWeka Pdf file on > CRAN. > > I looked for other R packages that allow me to do variable reduction > without considering a dependent variable. I came across 'dprep' > package but it does not have a Windows implementation. > > Moreover, I have a dataset that contains continuous and categorical > variables, some categorical variables having 3 levels, 10 levels and > so on, till a max 50 levels (E.g. States in the USA). > > Any suggestions in this regard will be much appreciated. > > Thank you > > Harsh Singhal > Decision Systems, > Mu Sigma, Inc. > > ______________________________________________ > [email protected] 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. > ______________________________________________ [email protected] 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.
