Thanks again to everyone for your helpful answers. I think I will now be able to fix my problem to the possible extent.
Louis > Date: Fri, 9 Nov 2007 11:28:40 +0100 > From: [EMAIL PROTECTED] > To: [email protected] > Subject: Re: PCA clusters > > ... as regarding the "recognition" of groups in a > continuum without prior group assignment, one method > not mentioned so far is mixture modelling, which is > simply attempting to fit the data to a mixture of > e.g. gaussians. Criteriae such as the Akaike Information > Criterion may be used to get some idea about a "reasonable" > number of groups, although a proper significance test > is not really available. > > And then you have all those old clustering methods, > including more or less desperate attempts to calculate > some kind of significance (beware). > > If the points are assigned to groups from independent > information, there are the standard statistical tests. > Since you are primarily interested in PC1, a one-way > ANOVA might be sufficient, although I think a MANOVA on > all PCs would be better. > > All these methods are available in e.g. R or PAST. > > > > Oyvind Hammer > Natural History Museum > University of Oslo > > > > -- > Replies will be sent to the list. > For more information visit http://www.morphometrics.org > ------------------------------------------------------------------------ Machen Sie Ihre E-Mail-Kontakte zu Messenger-Freunden! Einfacher Adressimport! <http://redirect.gimas.net/?cat=hmtl&n=M1007AI&d=http://messenger.live.de/ersteschritte_adressimport.html> -- Replies will be sent to the list. For more information visit http://www.morphometrics.org
