<p>Similarity map of components 1 and 2. Individuals corresponding to the same stem are represented within a convex polygon. Synthetic profiles corresponding to extreme scores are represented in thick blue together with the reference contour in thin black for component 1 and on the right for component 2.</p
The figure shows the first two principal components after merging the acquired datasets. The samples...
The star symbol near the origin of the axes indicates the pooled dataset of overlapping genes, while...
<p>Scatterplot of the scores along the first two between-group principal components. Overlaid, predi...
The use of principal components analysis to study tree stem profiles was critically analyzed during ...
A to C show the results of the PCA based on the 2D plane corresponding to the first 2 axes. D to F s...
<p>(A) Histogram of eigenvalues, (B) Principal Component Analysis (PCA) plot of factor loadings in t...
<p>3D Scatterplots of principal components of shape with 95% confidence intervals of the adults (red...
<p>Crosses, triangles and circles represent variables assigned to each of the dimensions. X and Y ax...
<p><b>A.</b> As a minimal example, we consider a hypothetical data set of length and height measurem...
<p>(A) Inter- and (B) intra-individual variation (Fluctuating asymmetry, FA). Graphs display the lan...
<p>A, B and C: Hyperplane between the first and second principal components (PC1 and PC2, respective...
<p>The analysis was based on geometric morphometrics of ten shell parameters. Convex hulls circumscr...
<p>The first two principal components accounted for 77.4% of the variation. The four treatments (n =...
The interpretation of a principal component analysis can be complicated because the components are l...
A. Colours indicate different genetic clusters, Scotland (green), Shetland (blue) and Wales (red). I...
The figure shows the first two principal components after merging the acquired datasets. The samples...
The star symbol near the origin of the axes indicates the pooled dataset of overlapping genes, while...
<p>Scatterplot of the scores along the first two between-group principal components. Overlaid, predi...
The use of principal components analysis to study tree stem profiles was critically analyzed during ...
A to C show the results of the PCA based on the 2D plane corresponding to the first 2 axes. D to F s...
<p>(A) Histogram of eigenvalues, (B) Principal Component Analysis (PCA) plot of factor loadings in t...
<p>3D Scatterplots of principal components of shape with 95% confidence intervals of the adults (red...
<p>Crosses, triangles and circles represent variables assigned to each of the dimensions. X and Y ax...
<p><b>A.</b> As a minimal example, we consider a hypothetical data set of length and height measurem...
<p>(A) Inter- and (B) intra-individual variation (Fluctuating asymmetry, FA). Graphs display the lan...
<p>A, B and C: Hyperplane between the first and second principal components (PC1 and PC2, respective...
<p>The analysis was based on geometric morphometrics of ten shell parameters. Convex hulls circumscr...
<p>The first two principal components accounted for 77.4% of the variation. The four treatments (n =...
The interpretation of a principal component analysis can be complicated because the components are l...
A. Colours indicate different genetic clusters, Scotland (green), Shetland (blue) and Wales (red). I...
The figure shows the first two principal components after merging the acquired datasets. The samples...
The star symbol near the origin of the axes indicates the pooled dataset of overlapping genes, while...
<p>Scatterplot of the scores along the first two between-group principal components. Overlaid, predi...
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