On the comparison of the strength of morphological integration across morphometric datasets
0106 biological sciences
0301 basic medicine
570
Models, Genetic
Evolution
Ecology and Evolutionary Biology
610
Datasets as Topic
Genetic Variation
Lizards
01 natural sciences
6. Clean water
Statistical Methodology
Evolution, Molecular
03 medical and health sciences
Animals
Body Size
Least-Squares Analysis
10. No inequality
Algorithms
DOI:
10.1111/evo.13045
Publication Date:
2016-09-05T05:53:09Z
AUTHORS (2)
ABSTRACT
Evolutionary morphologists frequently wish to understand the extent which organisms are integrated, and whether strength of morphological integration among subsets phenotypic variables differ taxa or other groups. However, comparisons across datasets difficult, in part because summary measures that characterize these patterns (RV coefficient rPLS) dependent both on sample size number variables. As a solution this issue, we propose standardized test statistic (a z-score) for measuring degree between sets The approach is based partial least squares analysis trait covariation, its permutation-based sampling distribution. Under null hypothesis random association variables, method displays constant expected value confidence intervals differing sizes variable number, thereby providing consistent measure suitable datasets. A two-sample also proposed statistically determine levels datasets, an empirical example examining cranial shape Mediterranean wall lizards illustrates use. Some extensions procedure discussed.
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