-------- Original Message --------
Subject: Re: tpsReg permutation test problem
Date: Fri, 4 Nov 2011 11:51:11 -0400
From: F. James Rohlf <[email protected]>
Reply-To: [email protected]
To: Morphmet <[email protected]>
The current version is 1.38 and that should fix the problem.
-------
Sent remotely by F. James Rohlf,
John S. Toll Professor
-----Original Message-----
From: morphmet <[email protected]>
Date: Tue, 18 Jan 2011 14:38:51
To: morphmet<[email protected]>
Reply-To: [email protected]
Subject: tpsReg permutation test problem
-------- Original Message --------
Subject: tpsReg permutation test problem
Date: Tue, 18 Jan 2011 14:00:16 -0500
From: Francisco prevosti <[email protected]>
To: [email protected]
Hi everybody,
My dataset is 99 specimen per 42 landmarks (the aligment specimen files)
and the centroid size file.
I have a problem when I try to run the permutation test of tpsReg using
"Permute All" and default settings. I got this message: Invalid Floating
Point Operation.
I tried with different windows version and tpsReg versions (1.37 for
example).
I got other result in ok conditions (regression report even the
Generalized Goodal F test; visualization of shape change along
regression.. etc).
May be someone can help me to do this test.
Sincerely,
pancho
Francisco J. Prevosti
División Mastozoología
Museo Argentino de Ciencias Naturales "Bernardino Rivadavia" - CONICET
Av. Angel Gallardo 470 - C1405DJR -
Buenos Aires - Argentina -
Tel/Fax.: (5411) 4982-0306 / 1154 / 5243 / 4494 - Int. 210
http://www.macn.secyt.gov.ar/
--- On *Tue, 1/18/11, morphmet /<[email protected]>/*
wrote:
From: morphmet <[email protected]>
Subject: Re: Prediction of landmark coordinates from other landmarks
To: "morphmet" <[email protected]>
Date: Tuesday, January 18, 2011, 2:23 PM
-------- Original Message --------
Subject: Re: Prediction of landmark coordinates from other landmarks
Date: Mon, 17 Jan 2011 02:13:43 -0500
From: Pierre Guyomarc'h <[email protected]
</mc/[email protected]>>
To: [email protected]
</mc/[email protected]>
Thank you Stefan! I didn't think about that, I'll try and compare
errors. I still would prefer a prediction method as my reference
sample
is not representative of ALL the existing shapes; and as the skull
correlates (moderately ok...) with the skin, prediction may be more
objective and less sample-specific. But the error rates may be better,
I'll keep you posted about that!
-- Pierre Guyomarc'h (PhD student)
Université Bordeaux 1 - UMR 5199 PACEA (CNRS)
/Anthropologie des Populations Passées et Présentes/ (A3P)
Av. des Facultés, Bât B8 - 33405 Talence cedex
On Sat, Jan 15, 2011 at 8:59 AM, Stefan Schlager
<[email protected]
</mc/[email protected]>
<mailto:[email protected]
</mc/[email protected]>>> wrote:
Hi Pierre,
you can use a nearestest neighbour method by generating a weighted
(by Procrustes or Mahalanobisdistance) mean of the nearest
neighbours - this avoids improbable prediction results. It works
pretty good on facial estimation.
If you are interested in R scripts, drop me aline or two.
stefan
--
Stefan Schlager M.A.
Anthropologie
Medizinische Fakultät der der Albert Ludwigs- Universität Freiburg
Hebelstr. 29
79104 Freiburg
Anthropology
Faculty of Medicine, Albert-Ludwigs-University Freiburg
Hebelstr. 29
D- 79104 Freiburg
phone +49 (0)761 203-5522
fax +49 (0)761 203-6898
On 14.01.2011 21:11, morphmet wrote:
-------- Original Message --------
Subject: Prediction of landmark coordinates from other landmarks
Date: Fri, 14 Jan 2011 12:30:21 -0500
From: Pierre Guyomarc'h <[email protected]
</mc/[email protected]>
<mailto:[email protected]
</mc/[email protected]>>>
To: [email protected]
</mc/[email protected]>
<mailto:[email protected]
</mc/[email protected]>>
Dear morphometricians,
I’m trying to use geometric morphometrics to predict the
coordinates of
a group of landmarks from another group of landmarks (of the same
individual). The goal is to predict human facial skin features
from bony
morphology. As I’m no mathematician or statistician, I have some
difficulties to evaluate the integrity of my methods. After short
discussion with some morphometricians, I heard different
opinions and
advices. That’s why I’m submitting my questions more largely by
throwing
this bottle to the sea! What do you think of:
-Method 1: predict each 3D coordinate of the unknown landmarks
(group 2)
from the PCs of a PCA ran on the known landmarks (group 1) through
multivariate regressions.
-Method 2: use best covariating groups of landmarks through PLS
analysis
and use the scores and PCA to predict the 3D coordinates of group 2.
This methodology has been proposed at the 4th Meeting of Junior
Scientists in Anthropology (Freiburg im Breisgau, March 2010). The
proceedings are available at
http://www.freidok.uni-freiburg.de/volltexte/7603/ and my
contribution
is at p.84. Feel free to consult it if you have time. A more
complete
description of this method is exposed.
-Method 3: I would be really grateful if you can find me a third
method!
I’m open to all comments, even negative ones since they are
constructive…
Thanks!
