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The first four principal components (PCs) containing 99% from the total variance are presented in the Figure 5B.
The results of the 2 × 2 analyses of variance are presented in Table 3 and revealed a marginal main effect for time in sub-depressive symptoms (MADRS).
Regression equations and explained variance are presented in Table 6.
The results of the analysis of variance are presented in Table 3.
The seven factors, corresponding eigenvalues, percentage of variances accounted for by each factor, and cumulative percentages of variance are presented in Table 1.
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The same test image corrupted by spatially correlated noise with the same variance is presented in Figure 2b.
The variance is presented in the graphs with vertical color bars whereas the bias is presented with a convenient marker to distinguish between conventional or geometrical estimators.
The loadings and score plots of the first two PCs which explain 62.75% of variance is presented in Fig. 3. Figure 3 shows grouping and relationship between the variables.
The contribution of the gene substitution effect of SNP14 to the additive genetic variance is presented in Figure 5B.
Corresponding components, variable loadings, and the variances are presented in Table 6.
The distributions for the variances are presented in Table 4.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com