<p>Number of observations: 178. Number of groups (random effect species): 5. AIC = 1331.97, BIC = 1334.65, logLik −666.98. The random intercept was normally distributed, with mean 0 and standard deviation (SD) 2.54, and so was its residual term, with mean 0 and SD 9.85. Model residuals were normally distributed (Lilliefors D = 0.0266, <i>P</i> = 0.7844).</p
<p>*df = degrees freedom, ΔAIC = change in AIC associated with removal of each model term, LRT (χ<su...
<p>Models tested the prediction that the advantage of large size in aggressive contests for resource...
There has been considerable and controversial research over the past two decades into how successful...
<p>Number of observations: 178. Number of groups (random effect species): 5. AIC = 1444.34, BIC = 14...
<p>Degrees of freedom: 88; number of observations: 136; number of groups (random effect ‘sampling lo...
<p>The front-ends under consideration are MFCC (intercept), LDA1, LDA2, NMF_CC, H_CC + G_NMF and the...
Linear mixed model fit by maximum likelihood of the fixed and random effects of Model 4i.</p
<p>Output includes model estimates for fixed factors (Estimate) and the mean estimate across Markov ...
<p>In all models, block was included as a random effect.</p><p>Statistical results from the generali...
<p>Coefficients of linear mixed effects models of individuals per phenotype (dependent variable). Th...
<p>Parameter estimates for linear mixed effects models of the physical variables D = Defoliation, T ...
<p>Variances of fixed and random factors and residuals of linear mixed effects models. Percentage of...
Due to the large data set, all factors are significant. However, we made an arbitrary cut-off at the...
<p>R<sup>2</sup> constitutes the multiple R<sup>2</sup> explaining total variance of the overall mod...
<p>*<i>p</i> < .05</p><p>**<i>p</i> < .01</p><p>***<i>p</i> < .001</p><p><i>p</i>.<i>z</i> = p-value...
<p>*df = degrees freedom, ΔAIC = change in AIC associated with removal of each model term, LRT (χ<su...
<p>Models tested the prediction that the advantage of large size in aggressive contests for resource...
There has been considerable and controversial research over the past two decades into how successful...
<p>Number of observations: 178. Number of groups (random effect species): 5. AIC = 1444.34, BIC = 14...
<p>Degrees of freedom: 88; number of observations: 136; number of groups (random effect ‘sampling lo...
<p>The front-ends under consideration are MFCC (intercept), LDA1, LDA2, NMF_CC, H_CC + G_NMF and the...
Linear mixed model fit by maximum likelihood of the fixed and random effects of Model 4i.</p
<p>Output includes model estimates for fixed factors (Estimate) and the mean estimate across Markov ...
<p>In all models, block was included as a random effect.</p><p>Statistical results from the generali...
<p>Coefficients of linear mixed effects models of individuals per phenotype (dependent variable). Th...
<p>Parameter estimates for linear mixed effects models of the physical variables D = Defoliation, T ...
<p>Variances of fixed and random factors and residuals of linear mixed effects models. Percentage of...
Due to the large data set, all factors are significant. However, we made an arbitrary cut-off at the...
<p>R<sup>2</sup> constitutes the multiple R<sup>2</sup> explaining total variance of the overall mod...
<p>*<i>p</i> < .05</p><p>**<i>p</i> < .01</p><p>***<i>p</i> < .001</p><p><i>p</i>.<i>z</i> = p-value...
<p>*df = degrees freedom, ΔAIC = change in AIC associated with removal of each model term, LRT (χ<su...
<p>Models tested the prediction that the advantage of large size in aggressive contests for resource...
There has been considerable and controversial research over the past two decades into how successful...