Table 4.
Pairwise correlation coefficients between contributions obtained with different methods
| Items | WEDs | Bootstrap | WLM | PCHe | PCWeitz | PCFst | PC5.1 | PC1 |
|---|---|---|---|---|---|---|---|---|
| Bootstrap | 0.998 | - | - | - | - | - | - | - |
| WLM | 0.799 | 0.797 | - | - | - | - | - | - |
| PCHe | 0.742 | 0.726 | 0.781 | - | - | - | - | - |
| PCweitz | 0.344 | 0.327 | 0.060 | 0.321 | - | - | - | - |
| PCFst | 0.620 | 0.599 | 0.435 | 0.732 | 0.880 | - | - | - |
| PC5.1 | 0.358 | 0.341 | 0.077 | 0.341 | 1.000 | 0.890 | - | - |
| PC1 | 0.084 | 0.057 | 0.283 | 0.391 | 0.081 | 0.255 | 0.090 | - |
| PC2 | 0.654 | 0.643 | 0.687 | 0.887 | 0.137 | 0.544 | 0.156 | 0.398 |
WEDs, which vary based on weighted equal drift similarity; Bootstrap, WEDS with bootstrap procedure; WLM, weighted log-linear model; PCHe, proportion of expected heterozygosity; PCweitz, Weitzman approach; PCFst, aggregate methods based on Fst; and PC5:1, the Piyasation and Kinghorn formula. PC, proportional contribution to gene diversity; PC1 estimates are weighted by population size; PC2 estimates ignore sample size.