Table 2.
Model | Inertia | R 2 | P(>F) | Proportion of explainable variance | Proportion of total variance |
---|---|---|---|---|---|
B. vancouverensis | |||||
Full model | 10,591,543 | 0.0205 | 0.001 | 1 | 0.207 |
Environment | 6,575,573 | 0.0129 | 0.001 | 0.621 | 0.128 |
Geography | 2,728,061 | 0.00727 | 0.001 | 0.258 | 0.053 |
Structure | 1,188,863 | 0.000443 | 0.424 | 0.112 | 0.023 |
Confounded | 99,046 | … | … | 0.009 | 0.002 |
Total unexplained | 40,675,527 | … | … | … | 0.793 |
Total inertia | 51,267,070 | … | … | … | 1 |
B. vosnesenskii | |||||
Full model | 13,356,586 | 0.0167 | 0.001 | 1 | 0.172 |
Environment | 7,739,843 | 0.0114 | 0.001 | 0.579 | 0.01 |
Geography | 3,810,203 | 0.00521 | 0.005 | 0.285 | 0.049 |
Structure | 1,664,682 | −0.000315 | 0.614 | 0.125 | 0.021 |
Confounded | 141,858 | … | … | 0.011 | 0.002 |
Total unexplained | 64,388,098 | … | … | … | 0.828 |
Total inertia | 77,744,684 | … | … | … | 1 |
Inertia is synonymous with variance. Model significance is reported in the P(>F) column with significant models (P < 0.05) being denoted by bold text. Proportion of explainable variance is the ratio between the inertia of a given model and the full model. The proportion of total variance is the ratio between inertia accounted for in a given model and the total inertia in the dataset.