----- Forwarded message from [email protected] ----- Date: Fri, 31 Jan 2014 20:33:52 -0800 From: [email protected] Reply-To: [email protected] Subject: Shape analysis without removing size as a factor? To: [email protected]
----- Forwarded message from Celena Toon <[email protected]> ----- Date: Mon, 20 Jan 2014 15:36:52 -0500 From: Celena Toon <[email protected]> Reply-To: Celena Toon <[email protected]> Subject: Shape analysis without removing size as a factor? To: [email protected] Hello, I've been working on my master's thesis that uses a geometric morphometric approach to analyzing the human tibia and the expression of sexual dimorphism. I've previously consulted this forum about formatting my text files and it has been a wonderful help! After conducting my analyses, I did not get the results expected and my advisor wants me to seek other ways I could potentially analyze my data to cover all my bases and make sure I'm not doing something wrong. Using MorphoJ, I conducted a Procrustes fit, a principal components analysis, and a discriminant function analysis. I know that the Procrustes fit removes size as a factor, but is there a way I could analyze my data in terms of both size and shape? Or should I be approaching this differently? Thank you, CT ----- End forwarded message ----- ----- End forwarded message -----
