-------- Original Message -------- Subject: RE: CVA and MANOVA Date: Thu, 28 Feb 2008 12:16:41 -0800 (PST) From: F. James Rohlf <[EMAIL PROTECTED]> Reply-To: <[EMAIL PROTECTED]> Organization: Stony Brook University To: <[email protected]> References: <[EMAIL PROTECTED]>
The independence of the n observations is not changed by various transformations of the p variables. MANOVA does not assume the variables are independent. It just assumes you have random samples of observations within each group. ========================= F. James Rohlf Distinguished Professor, Stony Brook University http://life.bio.sunysb.edu/ee/rohlf
-----Original Message----- From: morphmet [mailto:[EMAIL PROTECTED] Sent: Thursday, February 28, 2008 9:15 AM To: morphmet Subject: RE: CVA and MANOVA -------- Original Message -------- Subject: RE: CVA and MANOVA Date: Thu, 28 Feb 2008 03:21:40 -0800 (PST) From: Florencia Vera Candioti <[EMAIL PROTECTED]> To: <[email protected]> References: <[EMAIL PROTECTED]> Hi all! just a question from my ignorance. If we work with axes from an ordination analysis (PCA, RWA..) instead of PWs, don't we have a non-independence data problem? I understand permutations would solve this, right?; are there permutations implemented for MANOVA, MANCOVA, CVA -the analysis one would do with RW scores-, in some statistic or geometric morphometric software? Thank you very much! Florencia. -------------------------------------------------------------------- ---- Ingresá ya a MSN Deportes y enterate de las últimas novedades del mundo deportivo. MSN Deportes <http://msn.foxsports.com/fslasc/> -- Replies will be sent to the list. For more information visit http://www.morphometrics.org
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