<p>Loading plot for the first two PCs, taking globally into account 98.2% of data variability.</p
Violin plots of the observer variability for four chosen corresponding data sets.</p
Box plots showing the percent difference in global abundance estimates from 100 simulations of 100 r...
<p>Each plot represents a ROC curve as we vary the global BF threshold for BRVD and BRI, and vary th...
<p>Loadings plot of PC1 versus PC2 for the two main principal component analysis obtained in the PCA...
<p>A: whole experiment dataset; B: Tendril dataset; C: Inflorescence dataset. Percent of variation e...
<p><sup>a</sup> Numbers in brackets are the proportion of variation in the dataset that each princip...
<p>Histograms and percentile distributions when determining interactive models from the LOAD dataset...
<p>Score plot (left) and correlation loading plot (right) for the calibration model.</p
<p>For the LOAD datasets, average fraction over all 100 datasets of the total number of patterns che...
<p>Loadings on PC1 (the first axis explaining 52% of the total variations) of the principal componen...
The four factors that best describe the underlying data best are plotted. On the left side the data ...
<p>Loading scores for the first two principal components (PC1 and PC2, which explained 47% and 19% o...
Plots displaying the performance of different mechanisms for modified Haslemere dataset.</p
<p>In Figure 1, the autocorrelation plots of all resource usage parameters reveal non- randomness be...
<p>Factor loadings showing contributions of each trait to PC 1 and 2 for the principal components an...
Violin plots of the observer variability for four chosen corresponding data sets.</p
Box plots showing the percent difference in global abundance estimates from 100 simulations of 100 r...
<p>Each plot represents a ROC curve as we vary the global BF threshold for BRVD and BRI, and vary th...
<p>Loadings plot of PC1 versus PC2 for the two main principal component analysis obtained in the PCA...
<p>A: whole experiment dataset; B: Tendril dataset; C: Inflorescence dataset. Percent of variation e...
<p><sup>a</sup> Numbers in brackets are the proportion of variation in the dataset that each princip...
<p>Histograms and percentile distributions when determining interactive models from the LOAD dataset...
<p>Score plot (left) and correlation loading plot (right) for the calibration model.</p
<p>For the LOAD datasets, average fraction over all 100 datasets of the total number of patterns che...
<p>Loadings on PC1 (the first axis explaining 52% of the total variations) of the principal componen...
The four factors that best describe the underlying data best are plotted. On the left side the data ...
<p>Loading scores for the first two principal components (PC1 and PC2, which explained 47% and 19% o...
Plots displaying the performance of different mechanisms for modified Haslemere dataset.</p
<p>In Figure 1, the autocorrelation plots of all resource usage parameters reveal non- randomness be...
<p>Factor loadings showing contributions of each trait to PC 1 and 2 for the principal components an...
Violin plots of the observer variability for four chosen corresponding data sets.</p
Box plots showing the percent difference in global abundance estimates from 100 simulations of 100 r...
<p>Each plot represents a ROC curve as we vary the global BF threshold for BRVD and BRI, and vary th...
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