Table 2
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Comparisons of the linear mixed models.

Compared modelsΔAICP
Models 1 and 244<2e−16*
Models 2 and 30.4>0.1
Models 2 and 418<6e−6*
Models 4 and 58<0.005*
Compared modelsΔAICP
Models 1 and 244<2e−16*
Models 2 and 30.4>0.1
Models 2 and 418<6e−6*
Models 4 and 58<0.005*

*Probability of the higher order model of being better than the previous model, P indicates P values in ANOVA comparison; ΔAIC indicates difference of AIC values.

Table 2
Open in new tab

Comparisons of the linear mixed models.

Compared modelsΔAICP
Models 1 and 244<2e−16*
Models 2 and 30.4>0.1
Models 2 and 418<6e−6*
Models 4 and 58<0.005*
Compared modelsΔAICP
Models 1 and 244<2e−16*
Models 2 and 30.4>0.1
Models 2 and 418<6e−6*
Models 4 and 58<0.005*

*Probability of the higher order model of being better than the previous model, P indicates P values in ANOVA comparison; ΔAIC indicates difference of AIC values.

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