-------- Original Message -------- Subject: Re: CVA in MorphoJ vs LDA in R Resent-Date: Thu, 15 Jul 2010 15:30:08 -0400 Resent-From: [email protected] Date: Thu, 15 Jul 2010 21:30:03 +0200 From: Stefan Schlager <[email protected]> Reply-To: [email protected] To: [email protected] Dear Louis and Martha, the difference between lda in R and a cva - is that lda uses the covariance matrix and not the pooled within group covariance matrix. greetings Stefan BTW.: at the moment i am working on a Rpackage that implements sliding of surface and curve semilandmarks (on 3D-meshes including reprojection - using a very fast command line app coded on the base of vcglib (meshlab)), it also contains a cva and some tools for importing and exporting meshes that can be rendered by the rgl package and for importing data from and to "landmark" etc..... if someone is interested in testing (documentation is sadly abit behind), mail me. Am 15.07.2010 20:31, schrieb morphmet:
-------- Original Message -------- Subject: RE: CVA in MorphoJ vs LDA in R Date: Fri, 2 Jul 2010 12:18:31 +0100 From: marta rufino <[email protected]> To: [email protected] Dear Louis, Did you managed to reach similar results? I am also trying to reproduce the CVA in R, so I was wondering about it. Thank you very much, Best wishes, M
