Hi J. Andres, You are probably better off using the ade4 package, which has two functions that will do exactly what you want, i.e. a PCA using mixed quantitative and categorical variables:
## You will need to download ade4 first library(ade4) ?dudi.hillsmith ?dudi.mix Regards, Mark Difford. J.Andrés Martínez wrote: > > Hello everybody, > > I am a new R user. At current moment I need to do a Principal Components > Analysis with a table who contain mixed variables (categorical and > numerical). There is some function available in R for transform these > variables? > > For example: I need transform the categorical variable X who has 3 classes > in 2 numerical variables with 0s and 1s. > > Thank you very much, > J. Andres > > [[alternative HTML version deleted]] > > ______________________________________________ > [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. > > -- View this message in context: http://www.nabble.com/Function-to-convert-categorical-variable-in-numerical-tf3808888.html#a10780667 Sent from the R help mailing list archive at Nabble.com. ______________________________________________ [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.
