Table 4. Morphological classification of male scorpions with Discriminant Function Analysis (DFA) to show correctly classified versus misclassified groups.
Males | ||||||||||||||||||
Predicted group membership | ||||||||||||||||||
Actual group membership | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | Total Actual Groups |
1. Brownsville | 6 | 2 | 0 | 0 | 1 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 13 |
2. Tamapulian | 1 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 13 |
3. Cen TX (E) | 0 | 0 | 4 | 0 | 2 | 0 | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 11 |
4. Coahuila | 0 | 0 | 1 | 44 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 48 |
5. CO (E) | 3 | 1 | 6 | 1 | 15 | 1 | 0 | 1 | 0 | 3 | 0 | 1 | 0 | 1 | 2 | 1 | 0 | 36 |
6. NE-N (M) | 2 | 0 | 0 | 0 | 0 | 5 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 2 | 0 | 0 | 13 |
7. NE (M) | 4 | 0 | 5 | 1 | 3 | 1 | 23 | 1 | 0 | 0 | 0 | 6 | 0 | 2 | 2 | 0 | 0 | 48 |
8. Laredo (K) | 5 | 0 | 2 | 4 | 3 | 1 | 1 | 21 | 1 | 0 | 0 | 3 | 3 | 3 | 0 | 0 | 0 | 47 |
9. Chinati (G) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
10. Ag Sp (I) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
11. Oliver Lee (D) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
12. Big Piney (M) | 2 | 0 | 1 | 0 | 3 | 3 | 4 | 1 | 1 | 0 | 0 | 16 | 0 | 7 | 0 | 0 | 0 | 38 |
13. Falcon Lake (K) | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 10 |
14. OK (M) | 0 | 0 | 2 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 10 | 0 | 0 | 0 | 16 |
15. Villanueva (E) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 9 |
16. Bbend 1 (F) | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 12 | 8 | 23 |
17. BBend 2 (F) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 15 | 16 |
Total Predicted Groups | 23 | 14 | 21 | 52 | 27 | 12 | 33 | 28 | 10 | 10 | 4 | 32 | 11 | 26 | 15 | 14 | 24 | 356 |
Each row represents actual groups whereas the columns represent predicted groups. Groups identified through the TCS analysis are shown in parentheses. The reduction in classification error (57.6%) shows the accuracy of the DFA compared to random classification. See Protocol S1 for further information concerning population designations and statistical analyses.