Biology Reference
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Eigenvalues
1. 17.12972 70.35886%
2. 5.17452 21.25391%
3. 1.93256 7.93784%
4. 0.10941 0.44939%
5. 0.00000 0.00000%
6. 0.00000 0.00000%
In our example, the sum of the first D eigenvalues (but not the first
D -1 eigenvalues) exceeds the check value (95%). Reconstruction of the
landmark coordinates for the hypothetical form is possible.
5.11 Summary
In this chapter, we demonstrated the way in which EDMA can be
applied in the study of growth patterns. We described the types of data
that may be available to the researcher studying growth and suggest-
ed ways to categorize individuals on the basis of life history variables
in the absence of chronological ages. We defined the growth matrix,
GM, and the growth difference matrix, GDM, and provided a method
for comparing patterns of growth. Statistical tests and graphical tech-
niques for comparing growth patterns were also presented. Finally, we
provided a method for the production of hypothetical forms from com-
bining a growth matrix and a form matrix.
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