From: Fast NJ-like algorithms to deal with incomplete distance matrices
(a): 25% taxon deletion rate | ||||||
---|---|---|---|---|---|---|
k= | FITCH | MW* | NJ* | BIONJ* | MVR* | p -value |
2 | 0.0558 | 0.0561 | 0.0586 | 0.0566 | 0.0522 | ≈ 0.0 |
4 | 0.0337 | 0.0345 | 0.0361 | 0.0351 | 0.0319 | ≈ 0.0 |
6 | 0.0253 | 0.0265 | 0.0272 | 0.0261 | 0.0235 | ≈ 0.0 |
8 | 0.0227 | 0.0228 | 0.0213 | 0.0217 | 0.0212 | 0.094 |
10 | 0.0187 | 0.0188 | 0.0194 | 0.0192 | 0.0171 | 0.047 |
12 | 0.0197 | 0.0207 | 0.0215 | 0.0199 | 0.0191 | 0.949 |
14 | 0.0160 | 0.0164 | 0.0164 | 0.0165 | 0.0162 | 0.882 |
16 | 0.0208 | 0.0204 | 0.0210 | 0.0213 | 0.0206 | ≈ 0.0 |
18 | 0.0170 | 0.0177 | 0.0177 | 0.0173 | 0.0174 | 0.271 |
20 | 0.0162 | 0.0168 | 0.0171 | 0.0160 | 0.0158 | 0.648 |
(b): 75% taxon deletion rate | ||||||
k= | FITCH | MW* | NJ* | BIONJ* | MVR* | p -value |
2 | 0.1876 | 0.1877 | 0.1824 | 0.1822 | 0.1817 | 0.282 |
4 | 0.1396 | 0.1397 | 0.1390 | 0.1381 | 0.1345 | 0.018 |
6 | 0.1095 | 0.1125 | 0.1134 | 0.1119 | 0.1065 | 0.166 |
8 | 0.0865 | 0.0892 | 0.0926 | 0.0870 | 0.0823 | 0.005 |
10 | 0.0690 | 0.0739 | 0.0766 | 0.0723 | 0.0671 | 0.023 |
12 | 0.0641 | 0.0670 | 0.0705 | 0.0677 | 0.0616 | 0.015 |
14 | 0.0508 | 0.0538 | 0.0567 | 0.0534 | 0.0493 | ≈ 0.0 |
16 | 0.0504 | 0.0518 | 0.0554 | 0.0512 | 0.0457 | ≈ 0.0 |
18 | 0.0409 | 0.0416 | 0.0485 | 0.0424 | 0.0402 | 0.922 |
20 | 0.0403 | 0.0435 | 0.0453 | 0.0431 | 0.0371 | ≈ 0.0 |