-------- Original Message -------- Subject: Re: nested MANOVA/ MANCOVA using SAS proc Mixed Date: Thu, 11 Dec 2008 18:20:45 +0100 From: [email protected] To: morphmet <[email protected]> References: <[email protected]> You might like to contact Jean-Christoffe Auffray Departément de Biologie Université de Montpellier 2 Montpellier ´ And fear not, Jean-Christoffe ("Popoff") speaks quite passable English. Auffray is a renowned specialist on the morphometrics and ecology of small rodents. I do not have his email on this computer but you can easily obtain it from the web via Université de Montpellier 2 In case Popoff is off on one of his collecting trips, a mail to the Department secretariat should help. Richard A. Reyment Citerar morphmet <[email protected]>:
-------- Original Message -------- Subject: nested MANOVA/ MANCOVA using SAS proc Mixed Date: Wed, 10 Dec 2008 11:09:52 -0800 (PST) From: Heidi Schutz <[email protected]> To: [email protected] Everyone, I am wondering if anyone has used SAS Proc Mixed to run a MANOVA/MANCOVA with RWs/PWs as dependent variables and if you have any comments that syntax. We need to run a 2X2 nested analysis with a random effect. GLM has multivariate capability, but GLM always models all effects as fixed even when the random statement is used. We have been able to figure out that in order to run the MANOVA/MANCOVA in proc mixed we need to "trick" it into thinking that the data are in repeated measures format, but we have been unable to confirm whether this is the correct approach. Here is our experimental design: Mice are separated into two groups: 1. Control (C) 2 Selected (S)----for high wheel running behavior (currently on generation 56) 2. Each of the above groups has 4 lines so that there are 4 S lines and 4 C lines. 3. Within each line there are also two treatment groups: 1 access to wheels, no access to wheels. 4. Line is a random effect because there are linetype (C vs S) differences, but there are also line differences within C and S. Anyone out there use SAS proc mixed this way? Heidi Schutz, Ph.D. Postdoctoral Fellow Biology Department 102 University Lab Building University of California Riverside [email protected] 951-827-2610 -- Replies will be sent to the list. For more information visit http://www.morphometrics.org
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