-------- Original Message --------
Subject:        Re: Fluctuating asymmetry analysis
Date:   Thu, 26 May 2011 06:55:38 -0400
From:   M. Viviana Toro Ibacache <[email protected]>
To:     [email protected]



Hi Marion,

If I understand correctly, one of the errors was that you didn“t
identify your specimens. FA analysis requires you to have each specimen
identified as well as the source of error (that you say it's the image,
I presume each one with its own set of landmarks), so the analysis can
test for effects, and specifically for the individual x side effect. I
suggest that you include a classifier with the ID of each specimen, so
at the end you should have 2 specimens for each individual category (one
from image 1 and one from image 2).

e.g. Specimen1northIMAGE1
        Specimen1northIMAGE2

Your identifier for "individual" should be from "S" to "h", and your
error source "image" from "I" to the number 1 or 2. Geography should be
just "north" After you set your classifiers, you should run a Procrustes
fit, and then Procrustes ANOVA. See how it goes.

Hope this helps!

Vivi

2011/5/26 morphmet <[email protected]
<mailto:[email protected]>>



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




--
           M. Viviana Toro Ibacache
Universidad de Chile - University of York

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