Please see the footer of this message: we need to know what you did.
Also, SAS may have made some assumptions for you without telling you (for example used a numerically ill-conditioned covariance matrix), and we don't know what you did in SAS, either.
On Tue, 12 Aug 2008, Pedro Mardones wrote:
Dear all; working with a 'fat' data set (700 variables / 50 samples) and trying to run a manova test on it (I'm aware that it's not the best option for this kind of data set) I got the error in the summary.manova function about the rank of the residuals (rank < # variables). Ok. The thing that I don't understand is why I don't get the same type of error in SAS. There seems to be no problem with rank deficiency and the fit-statistics in SAS (no negative DF or something like that...). I'm sure it must be some differences in the way the manova test is calculated but I don't know what they are, so I'll appreciate any comments... Thanks PM ______________________________________________ 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.
-- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ 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.
