-------- Original Message --------
Subject: Re: Fluctuating asymmetry analysis
Date: Thu, 26 May 2011 06:21:57 -0400
From: Chris Klingenberg <[email protected]>
Reply-To: [email protected]
Organization: University of Manchester
To: [email protected]

Dear Marion

I suspect the problem might be with the classifier for "individual".

You need a classifier that indicates the individual, with values such as
"vole 1", "vole 2", "vole 3".... It is not the format that counts (it
could be things like "Joe" or "v569_f 3"), but the classifier must have
exactly the same value for each replicate (image) of each individual
vole and the value for each particular vole must be different from that
of all other voles.

If there is no such classifier, you have to male one (e.g. extract it
from the identifier, make one manually by edit Classifiers, or import it
from a spreadsheet).

That your classifier for the individual effect is called "from dataset"
makes me suspect there may be a problem. MorphoJ creates a classifier of
this name if you combine different datasets. This may be correct in your
case if you had the landmark configurations from the replicate images of
each vole in a separate dataset and then combined them all. If not,
that's most likely where the problem is.

I hope this helps.

Best wishes,
Chris



On 5/26/2011 10:24 AM, morphmet wrote:


-------- Original Message --------
Subject: Fluctuating asymmetry analysis
Date: Wed, 25 May 2011 11:46:24 -0400
From: marion chevrinais <[email protected]>
To: [email protected]



Hi,
I'm a new to geometric morphometrics analysis and I try to work on the
fluctuating asymmetry of vole's populations.
For this, I make landmarks and I would use MorphoJ to realise a
procrustes ANOVA. I have some voles to the North of Quebec and some to
the south I would compare the fluctuating asymmetry of each population
to characterize the stress which they are subject.
In MorphoJ, I have made the procrustes fit, and after I have created a
covariance matrice. I have also created some classifiers. One for the
geographic location I have called "geography", I discriminated north to
south population. And I created a classifier for the error of
measurements I have called "image", I put 1 or 2 respectively for the
first image and the replicate.
When I would execute the Procrustes ANOVA, I complete the
classifiers boxes like this :
Individual : from dataset
Side : none (I work with object asymmetry so I do not have any choice)
Error 1 : image
Additional main effect : geography.
My results are not good, the ANOVA is not the one that I expected.
I do not understand the results for the freedom degrees and for F.
So I would know if there is a kind of "fluctuating asymmetry analysis
step by step" or anything like that which help me to understand the
MorphoJ program.
Any help is great.
Thanks.
Marion.


--
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Christian Peter Klingenberg
Faculty of Life Sciences
The University of Manchester
Michael Smith Building
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Telephone: +44 161 275 3899
Fax: +44 161 275 5082
E-mail: [email protected]
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