See homals package in R. But also look documents for ade4 package. Justin BEM BP 1917 Yaoundé Tél (237) 76043774
________________________________ De : Galanidis Alexandros <a...@env.aegean.gr> À : "r-help@r-project.org" <r-help@r-project.org> Envoyé le : Vendredi, 6 Mars 2009, 10h09mn 18s Objet : [R] PCA and categorical data Hi all, I' m trying to figure out if it is appropriate to do a PCA having only categorical data (not ordinal). I have only find the following quote: One method to find such relationships is to select appropriate variables and to view the data using a method like Principle Components Analysis (PCA) [4]. This approach gives us a clear picture of the data using KL-plot of the PCA. However, the method is not settled for the data including categorical data. [http://hp.vector.co.jp/authors/VA038807/personal/covEigGiniRep17.pdf] but I'm still not sure if it WRONG to do so. Any opinion or reference would be very helpful thanks ______________________________________________ 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. [[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.
