See if you can track down Thurstone's box problem dataset. It comes (I believe) on a CD with Loehlin's book 'latent variable models', but I'd be surprised if you couldn't find it elsewhere. Thurstone measured boxes, and using EFA (rather than PCA, but they might be similar enough to start off with) found that they were three dimensional.
Jeremy On 28 June 2010 02:27, Christofer Bogaso <bogaso.christo...@gmail.com> wrote: > Dear all, I am looking for some interactive study materials on Principal > component analysis. Basically I would like to know what we are actually > doing with PCA? What is happening within the dataset at the time of doing > PCA. > > Probably a 3-dimensional interactive explanation would be best for me. > > I have gone through some online materials specially Wikipedia etc, however > what I need a "movable explanation" to understand that. > > Any suggestion please? > > Thanks for your time > > [[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. > -- Jeremy Miles Psychology Research Methods Wiki: www.researchmethodsinpsychology.com ______________________________________________ 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.
