hi, hi all, There are several methods to analyse two (e.g. coinertia, procuste) or K tables (e.g. statis, mfa, gpa, etc.) in the packages ade4, FactoMiner, etc. Otherwise analyses on instrumental variables can be an interesting way to explore your dataset (e.g. within/between analyses, etc.)
hope this help pierre Selon Stefan Koenig <[EMAIL PROTECTED]>: > Dear all: > > Subjects were measured two times (t1 and t2) on different variables (v1 ... > vn). > Between t1 and t2 there was an experimental manipulation. I computed two PCAs > for time-points t1 and t2. > > Is it possible to combine both PCAs in order to get only one set of > eigenvectors? Due to the experimental manipulation measurement values on time > points t1 and t2 changed for each subject. > > Many thanks > Stefan > -- > > ______________________________________________ > 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. > ______________________________________________ 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.
