On 2/8/2006 12:50 PM, Laura Quinn wrote: > Hi, > > I was wondering if anyone could tell me why prcomp() will "Invent" modes > of variation in a PCA on identical replicates of data? I would have > expected 50 (or whatever number) of identical replicates to return a null > score in such an analysis (or at the least, all variables would share the > same PC score). This is not the case and I was wondering could someone > point me in the direction of some literature to explain the reason behind > this?
I think you'll need to show us an example. I just tried what I think you described, and got all the components with 0 standard deviation, as I would have expected. Duncan Murdoch > > Laura Quinn > Institute of Atmospheric Science > School of Earth and Environment > University of Leeds > Leeds > LS2 9JT > > tel: +44 113 343 1596 > fax: +44 113 343 6716 > mail: [EMAIL PROTECTED] > > ______________________________________________ > [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 ______________________________________________ [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
