-------- Original Message --------
Subject: RE: outlines analysis Fourier coefficients
Date: Wed, 27 Feb 2008 15:09:24 -0800 (PST)
From: F. James Rohlf <[EMAIL PROTECTED]>
Reply-To: <[EMAIL PROTECTED]>
Organization: Stony Brook University
To: <[email protected]>
References: <[EMAIL PROTECTED]>

Matrices of partial warp scores and of EFA scores (usually called
"coefficients" but that is not really correct because they are the
projections of your data onto vectors that define each harmonic) are
both multivariate data sets. They can be treated in similar ways in
multivariate analyses - just with different interpretations because
they are for different shape variables and need not give the same
results for the same sets of specimens.

=========================
F. James Rohlf
Distinguished Professor, Stony Brook University
http://life.bio.sunysb.edu/ee/rohlf


-----Original Message-----
From: morphmet [mailto:[EMAIL PROTECTED]
Sent: Wednesday, February 27, 2008 5:37 PM
To: morphmet
Subject: Re: outlines analysis Fourier coefficients

-------- Original Message --------
Subject: Re: outlines analysis Fourier coefficients
Date: Wed, 27 Feb 2008 06:37:32 -0800 (PST)
From: Matthew Burton-Kelly <[EMAIL PROTECTED]>
To: [email protected]
References: <[EMAIL PROTECTED]>

Hello all,

The quoted message is from a couple months back, but I would like to
clarify for my own sanity.  I am attempting to calculate disparity
based on elliptical Fourier coefficients--am I correct in thinking
that I can use MD=Tr{S}* on my elliptical Fourier coefficients in
the
same way I could on partial warp scores?

*Morphological Disparity = Trace(variance-covariance matrix)

Thanks,
Matt Burton-Kelly

On 25 Nov, 2007, at 9:36 AM, morphmet wrote:

> The same considerations apply to any multivariate study
(conventional
> variables, partial warp scores, or scores on Fourier harmonics).
One
> can
> use exploratory methods such as PCA or cluster analysis with any
> sample
> size but in order use methods that look at difference among groups
> relative to within-group variability one needs the degrees of
> freedom of
> the within-group covariance matrix to be greater than the number
of
> variables. With fewer observations the within-group covariance
matrix
> will be singular. This rule gives a minimum sample size but for
> reliable
> results the sample size should, of course, be much larger. This
makes
> the use of a number of standard multivariate methods impractical
when
> using many harmonics or many landmarks so that less powerful
methods
> have to be used.
>
> ------------------------
> F. James Rohlf, Distinguished Professor
> Ecology & Evolution, Stony Brook University
> www: http://life.bio.sunysb.edu/ee/rohlf
>
>
>> -----Original Message-----
>> From: morphmet [mailto:[EMAIL PROTECTED]
>> Sent: Sunday, November 25, 2007 6:44 AM
>> To: morphmet
>> Subject: outlines analysis Fourier coefficients
>>
>> Dear morphometricians.
>>
>> I would like to know, if it is possible...
>> How to calculate the number of harmonics, for the estimation of
>> Fourier
>> coefficients, depending the number of individuals sampled.
>> Some formulae.
>> I know this formulae (k-1)/2 or (k/2, K=numer of points on the
>> outlines.
>> I know that the number of harmonics depends on the degree of
>> recostrucion of the original structure, but what about the number
of
>> individual.
>>
>> Thanks
>>
>> Ang?lica Cuevas
>>
>> -----------------------------------------------------------------
------
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>
>
>
>
> --
> Replies will be sent to the list.
> For more information visit http://www.morphometrics.org
>




-----------------------------
Matthew Burton-Kelly
Graduate Student
Department of Geology and Geological Engineering
University of North Dakota
(802) 922-3696
[EMAIL PROTECTED]
http://uweb.und.nodak.edu/~matthew.burton.kelly/
--------------------------------------------
"About thirty years ago there was much talk that geologists ought
only
to observe and not theorize; and I well remember someone saying that
at this rate a man might as well go into a gravelpit and count the
pebbles and describe the colors.  How odd it is that anyone should
not
see that all observation must be for or against some view if it is
to
be of any service!"
-Charles Darwin, in an 1861 letter to Henry Fawcett.



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