-------- Original Message --------
Subject: classification of unknown individuals
Date: Mon, 28 Nov 2011 14:27:23 -0500
From: Garrido-Varas, Claudia <[email protected]>
To: '[email protected]' <[email protected]>
Dear Morphometricians,
I have the following problem. I have analyzed 32 pairs of bones, each
pair belonging to a single individual. I have reflected the lefts and
calculated the asymmetry between sides and between individuals using the
ANOVA in MorphoJ:
Shape, Procrustes ANOVA:
Effect SS MS df F P (param.) Pillai tr.
P (param.)
Individual 0.05135962 0.0001183401 434 2.85
<.0001 9.73 <.0001
Side 0.00034556 0.0000246831 14 0.59
0.8707 0.44 0.4744
Ind * Side 0.01805056 0.0000415911 434 24.25
<.0001 10.95 <.0001
Error 1 0.00153700 0.0000017154 896 1.38
<.0001 5.38 <.0001
Residual 0.00223224 0.0000012457 1792
When I do PCA the bones (Right and Left from a same individual) are
displayed with no clear association between them, for example the right
bone of individual 1 is closer to other individuals than to its left
pair. But when I do a regression of Procrustes coordinates and centroid
size, and correct for allometry each individual clusters very clearly.
So, my question is how I can use this information to classify unknown
pairs. How for example I could do the following, I have 10 pairs that I
know they belong to single individuals and I have 4 pairs (assuming they
belong in 2 pairs) that are mixed among them. How can I see them in a
graph and see that they cluster with the right pair?
Based in that the differences between individuals is greater than intra
individual, I have been trying, unsuccessfully to show this graphically.
Thank you very much for your advice.
Claudia
