Calculates mean, standard deviation, skew, kurtosis, and maximum for random samples of 6 individuals for each status in each array. Fits linear mixed models to these data and extracts test-statistics and p-values for models
<p>Summary of the linear mixed-effects model to test the variables affecting seed dispersal distance...
Full dispersal model description following the standard Overview, Design Concepts, Details (ODD) for...
Quantifying individual differences and the phenotypic correlates of dispersal are of considerable in...
Calculates mean, standard deviation, skew, kurtosis, and maximum for random samples of 6 individuals...
Calculates standard deviation and maximum for random samples of 6 individuals per status in each arr...
Calculates mean for random samples of 6 individuals per status in each array. Fits linear mixed mode...
<p>From left to right: kernels with the minimum, lower quartile, median, upper quartile and maximum ...
<p><b>A–D</b> Estimated kernels for the exponential model (orange lines) and the Cauchy model (cyan ...
<p>A) Maximum likelihood estimate density with respect to distance for Malaysian data. B) Maximum li...
<p>δ<sub>s</sub> = 0.20 (plain line), δ<sub>s</sub> = 1.00 (dashed line) and δ<sub>s</sub> = 3.54 ( ...
<p>Models were fit to the probability distributions for the four study species after 80 vehicle pass...
<p>(A–B) Mean dispersal ability: During the invasion, the dispersal ability at the front is higher t...
<p>Cumulative probability distributions for the maximum likely dispersal kernel parameters.</p
Full dispersal model description following the standard Overview, Design Concepts, Details (ODD) for...
<p>Error bars show standard deviations. <i>ne</i> denotes the four nearest neighbor dispersal, <i>gl...
<p>Summary of the linear mixed-effects model to test the variables affecting seed dispersal distance...
Full dispersal model description following the standard Overview, Design Concepts, Details (ODD) for...
Quantifying individual differences and the phenotypic correlates of dispersal are of considerable in...
Calculates mean, standard deviation, skew, kurtosis, and maximum for random samples of 6 individuals...
Calculates standard deviation and maximum for random samples of 6 individuals per status in each arr...
Calculates mean for random samples of 6 individuals per status in each array. Fits linear mixed mode...
<p>From left to right: kernels with the minimum, lower quartile, median, upper quartile and maximum ...
<p><b>A–D</b> Estimated kernels for the exponential model (orange lines) and the Cauchy model (cyan ...
<p>A) Maximum likelihood estimate density with respect to distance for Malaysian data. B) Maximum li...
<p>δ<sub>s</sub> = 0.20 (plain line), δ<sub>s</sub> = 1.00 (dashed line) and δ<sub>s</sub> = 3.54 ( ...
<p>Models were fit to the probability distributions for the four study species after 80 vehicle pass...
<p>(A–B) Mean dispersal ability: During the invasion, the dispersal ability at the front is higher t...
<p>Cumulative probability distributions for the maximum likely dispersal kernel parameters.</p
Full dispersal model description following the standard Overview, Design Concepts, Details (ODD) for...
<p>Error bars show standard deviations. <i>ne</i> denotes the four nearest neighbor dispersal, <i>gl...
<p>Summary of the linear mixed-effects model to test the variables affecting seed dispersal distance...
Full dispersal model description following the standard Overview, Design Concepts, Details (ODD) for...
Quantifying individual differences and the phenotypic correlates of dispersal are of considerable in...
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