<p>Percent of variance on the first three axes from principal component analyses by user for each landmark set combining all scan types and replicates (n = 40 combined scans per user).</p
<p>After varimax raw rotation, highly significant loading factors of the variables on the PCA axes a...
<p>Scatterplot of the scores along the first two principal coordinate axes – explaining 25.72% and 1...
<p><sup>a</sup> Numbers in brackets are the proportion of variation in the dataset that each princip...
Percentage of variance of the third first principal component of the landmarks configuration PCA of ...
Percentage of variance and ANOVA results of the first three principal components (PCs) of the landma...
Explained variance in percent with respect to the number of principal components for the interpretat...
Percentage of variance and ANOVA results of the first three principal components (PCs) of the landma...
Percent variance explained for each of the first five PC axes for each species.</p
<p>These three principal components, combined, explain 96.5% of the net variance in the dataset.</p
<p>Note the differences in variability explained by the two axes (approx. 88% and 3% respectively).<...
<p>The graph represents the number of PCA components considered and the related percentage of varian...
<p>Univariate results of the percentage of variance explained (R<sup>2</sup>) by each predictor vari...
<p>Scree plot showing the proportion of variance that is unaccounted for against the number of Princ...
Principal component 1 (PC1) in horizontal axis and PC2 in vertical axis explain 37% and 15% of varia...
<p>Proportion of the variance in each EPIC center captured in an overall PCA on combined data by the...
<p>After varimax raw rotation, highly significant loading factors of the variables on the PCA axes a...
<p>Scatterplot of the scores along the first two principal coordinate axes – explaining 25.72% and 1...
<p><sup>a</sup> Numbers in brackets are the proportion of variation in the dataset that each princip...
Percentage of variance of the third first principal component of the landmarks configuration PCA of ...
Percentage of variance and ANOVA results of the first three principal components (PCs) of the landma...
Explained variance in percent with respect to the number of principal components for the interpretat...
Percentage of variance and ANOVA results of the first three principal components (PCs) of the landma...
Percent variance explained for each of the first five PC axes for each species.</p
<p>These three principal components, combined, explain 96.5% of the net variance in the dataset.</p
<p>Note the differences in variability explained by the two axes (approx. 88% and 3% respectively).<...
<p>The graph represents the number of PCA components considered and the related percentage of varian...
<p>Univariate results of the percentage of variance explained (R<sup>2</sup>) by each predictor vari...
<p>Scree plot showing the proportion of variance that is unaccounted for against the number of Princ...
Principal component 1 (PC1) in horizontal axis and PC2 in vertical axis explain 37% and 15% of varia...
<p>Proportion of the variance in each EPIC center captured in an overall PCA on combined data by the...
<p>After varimax raw rotation, highly significant loading factors of the variables on the PCA axes a...
<p>Scatterplot of the scores along the first two principal coordinate axes – explaining 25.72% and 1...
<p><sup>a</sup> Numbers in brackets are the proportion of variation in the dataset that each princip...