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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> For more information visit http://www.morphometrics.org




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