----- Forwarded message from Carmelo Fruciano <[email protected]> -----

     Date: Wed, 5 Mar 2014 04:43:43 -0500
      From: Carmelo Fruciano <[email protected]>
      Reply-To: Carmelo Fruciano <[email protected]>
      Subject: Re: 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?

Dear Celena,
one first distinction is that, while in the Procrustes fit everything  
is scaled to unit centroid size, your dataset still contains  
allometric shape variation, which might or might not be of interest  
for you and you might or might not take into account in your analyses  
(for instance including size as a covariate in your linear models). 

Apart from this, something you might want to look at is relative warps  
in size-shape space (Mitteroecker et al 2004 - J Hum Evol). Some  
papers using this method are Bulygina et al 2006 (Am J Phys Anth),  
Cardini & Elton 2008 (J Hum Evol), Fruciano et al 2012 (Env Biol  
Fishes). 

I hope this helps. 
Carmelo

-- 
Carmelo Fruciano
Marie Curie Fellow - University of Konstanz - Konstanz, Germany
Honorary Fellow - University of Catania - Catania, Italy
e-mail [email protected]
http://www.fruciano.it/research/

-- 
Carmelo Fruciano
Marie Curie Fellow - University of Konstanz - Konstanz, Germany
Honorary Fellow - University of Catania - Catania, Italy
e-mail [email protected]
http://www.fruciano.it/research/

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