Table 3.
Model | Log-likelihood ratio | d.f. | P | AIC | ΔAIC |
---|---|---|---|---|---|
Jacquiniella leucomelana | |||||
STY,SF | 581·1 | 176 | <0·001 | 229·1 | 276·5 |
STY,SFY | 251·8 | 144 | <0·001 | –36·2 | 11·2 |
STY,SFT | 473·4 | 128 | <0·001 | 217·4 | 264·8 |
STY,SFY,SFT | 144·6 | 96 | 0·001 | –47·4 | 0 |
SFYT | 0 | 0 | 0 | 47·4 | |
Jacquiniella teretifolia | |||||
STY,SF | 682·9 | 272 | <0·001 | 138·9 | 397·9 |
STY,SFY | 441·4 | 240 | <0·001 | –38·6 | 220·4 |
STY,SFT | 245·7 | 192 | 0·005 | –138·3 | 120·8 |
STY,SFY,SFT | 60·9 | 160 | 1·000 | –259·1 | 0 |
SFYT | 0 | 0 | 0 | 259·1 | |
Lycaste aromatica | |||||
STY,SF | 336·1 | 236 | <0·001 | –135·9 | 0 |
STY,SFY | 281·0 | 204 | <0·001 | –127·1 | 8·8 |
STY,SFT | 189·5 | 156 | 0·035 | –122·5 | 13·4 |
STY,SFY,SFT | 138·8 | 124 | 0·172 | –109·2 | 26·7 |
SFYT | 0 | 0 | 72* | 207·9 |
P-values indicate the significance of the deviation of a model from the saturated model SFYT. The model with the lowest Akaike information criterion (AIC) was regarded as the best model (given in bold). Log-likelihood ratio statistic was used to calculate AIC.
* AIC of the saturated model deviates from zero, because one degree of freedom will be deducted for each structural zero by function loglm (Venables and Ripley, 2002).