Table 2.
Results of a linear regression applied to real trait data (leaf tissue density and stem density for 200 rainforest plant species), with (PL) or without (LR) an extra parameter λ to quantify the strength of phylogenetic signal in the Y-axis trait
| | ||||
|---|---|---|---|---|
| |
LR model |
PL model |
||
| Parameter | GLS | Bayesian (AT) | GLS | Bayesian (AT) |
|
β0 |
-1.07 (0.47) |
-0.70 (0.31) |
-0.75 (0.14) |
-0.50 (0.11) |
|
β1 |
0.31 (0.13) |
0.62 (0.10) |
0.55 (0.11) |
0.58 (0.11) |
|
λ |
— |
— |
0.24 (-0.12, 0.63) |
0.82 (0.13) |
|
σ |
1.18 |
0.70 (0.074) |
0.33 |
0.77 (0.095) |
| ppp-value | — | 0.545 | — | 0.9974 |
Values are: mean (standard deviation), except for λ, which is mean (95% Confidence limits). The value σfor the gls() function is the residual standard error.