<p>Scree plot of cumulative- (-0-) and per component (bars) variance explained for a unrotated- (blue) and a rotated (red) seven component model.</p
<p>With components (vertical blue line) we are able to maintain over of the variance present in th...
Scatter plot showing the relationship between the number of times played and confidence-scaled accur...
<p>The bars illustrate the variance explained by each principal component (PC) from the PCA, and the...
Scree plot showing the explained variance for principal components of time spent in cut-points categ...
<p>Scree plot indicating the first two plotted components in red, which account for 97.6% of the var...
<p>For each method, the contribution of the first 20 (of 44) components plotted. Note the change of ...
<p>Scree plots for (A) face shape and (B) face texture, showing the fractions of variance accounted ...
Scree plot showing variance explained by each PC of the across-study Spearman correlation matrix of ...
<p>Open circles represent the left side hand, and filled circles represent the right side hand. The ...
<p>A Scree plot of eigenvalues of the unrotated factors displaying an ‘elbow’ of the plot (shown by ...
<p>Scree plot showing the proportion of variance that is unaccounted for against the number of Princ...
<p>Scatterplots of fPAR and (a) fcoverintensity, and (b) CNRH from the 25 modeling plots.</p
<p>Scatterplot of the scores along the first two principal coordinate axes – explaining 25.72% and 1...
<p>Scatter plot of scores of PC2 vs. PC3 based on PCA of 13 size adjusted variables as described in ...
<p>Scatter plot of fitted values against observed values of diameter growth of each model.</p
<p>With components (vertical blue line) we are able to maintain over of the variance present in th...
Scatter plot showing the relationship between the number of times played and confidence-scaled accur...
<p>The bars illustrate the variance explained by each principal component (PC) from the PCA, and the...
Scree plot showing the explained variance for principal components of time spent in cut-points categ...
<p>Scree plot indicating the first two plotted components in red, which account for 97.6% of the var...
<p>For each method, the contribution of the first 20 (of 44) components plotted. Note the change of ...
<p>Scree plots for (A) face shape and (B) face texture, showing the fractions of variance accounted ...
Scree plot showing variance explained by each PC of the across-study Spearman correlation matrix of ...
<p>Open circles represent the left side hand, and filled circles represent the right side hand. The ...
<p>A Scree plot of eigenvalues of the unrotated factors displaying an ‘elbow’ of the plot (shown by ...
<p>Scree plot showing the proportion of variance that is unaccounted for against the number of Princ...
<p>Scatterplots of fPAR and (a) fcoverintensity, and (b) CNRH from the 25 modeling plots.</p
<p>Scatterplot of the scores along the first two principal coordinate axes – explaining 25.72% and 1...
<p>Scatter plot of scores of PC2 vs. PC3 based on PCA of 13 size adjusted variables as described in ...
<p>Scatter plot of fitted values against observed values of diameter growth of each model.</p
<p>With components (vertical blue line) we are able to maintain over of the variance present in th...
Scatter plot showing the relationship between the number of times played and confidence-scaled accur...
<p>The bars illustrate the variance explained by each principal component (PC) from the PCA, and the...
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