<p>Mapping of the eigenvalues as ellipsoids divided into unaffected side (A) with FA = 0.292 and affected side (B) with FA = 0.313.</p
Eigenvalues and percentage of variance explained for the 5-factor solution (Stage 2).</p
<p>Eigenvalues calculation table processed by the method of moments for sample Y-1.</p
<p>Shrinkage of the eigenvalues of the MAP of the covariance matrix as <i>r</i> = <i>α</i>. When <i>...
<p>Values of FA, MD, eigenvalues (λ1, λ2 and λ3) and q divided into affected and unaffected side.</p
<p>The semiaxes are proportional to the square root of the eigenvalues of the covariance matrix. If ...
The eigenvalue is a ratio of the between-groups sum of squares to the within-groups or error sum of ...
Copyright © 2014 Alicia R. Billington et al. This is an open access article distributed under the Cr...
Select the coefficients of the matrix A and drag the red arrow. The blue arrow shows the result of m...
The investigation of the full eigenvalue and eigenvector problem in the case of multiple or close ei...
<p>In contrast to the case of no back mutation in <a href="http://www.ploscompbiol.org/article/info:...
<p>Eight eigenvectors for the nonlinear dimensional mapping of 374,434 SNPs on the autosomes of 1,39...
<p>Note that prior to parameter reduction there is a substantial fraction of eigenvalues which mean...
<p>Eigenvalues and their proportion of explained variance from Principal component analysis.</p
<p>Eigenvalues and Eigenvectors obtained through PCA processing of the normalized S/N ratios.</p
<p>Eigenvalues: 4.19 (DF1) and 0.52 (DF2); variance: 84.44% (DF1) and 10.41% (DF2).</p
Eigenvalues and percentage of variance explained for the 5-factor solution (Stage 2).</p
<p>Eigenvalues calculation table processed by the method of moments for sample Y-1.</p
<p>Shrinkage of the eigenvalues of the MAP of the covariance matrix as <i>r</i> = <i>α</i>. When <i>...
<p>Values of FA, MD, eigenvalues (λ1, λ2 and λ3) and q divided into affected and unaffected side.</p
<p>The semiaxes are proportional to the square root of the eigenvalues of the covariance matrix. If ...
The eigenvalue is a ratio of the between-groups sum of squares to the within-groups or error sum of ...
Copyright © 2014 Alicia R. Billington et al. This is an open access article distributed under the Cr...
Select the coefficients of the matrix A and drag the red arrow. The blue arrow shows the result of m...
The investigation of the full eigenvalue and eigenvector problem in the case of multiple or close ei...
<p>In contrast to the case of no back mutation in <a href="http://www.ploscompbiol.org/article/info:...
<p>Eight eigenvectors for the nonlinear dimensional mapping of 374,434 SNPs on the autosomes of 1,39...
<p>Note that prior to parameter reduction there is a substantial fraction of eigenvalues which mean...
<p>Eigenvalues and their proportion of explained variance from Principal component analysis.</p
<p>Eigenvalues and Eigenvectors obtained through PCA processing of the normalized S/N ratios.</p
<p>Eigenvalues: 4.19 (DF1) and 0.52 (DF2); variance: 84.44% (DF1) and 10.41% (DF2).</p
Eigenvalues and percentage of variance explained for the 5-factor solution (Stage 2).</p
<p>Eigenvalues calculation table processed by the method of moments for sample Y-1.</p
<p>Shrinkage of the eigenvalues of the MAP of the covariance matrix as <i>r</i> = <i>α</i>. When <i>...