Sentence examples for principal analysis see from inspiring English sources

For the principal analysis (see also Figure 2), based on estimates 2, 6, 10, 13, 18, 20 and 23, the fixed-effect estimate is near significant (1.32, 95% CI 0.98 1.77).

The principal analysis (see also Figure 1), based on RR/OR estimates numbered 2, 3, 9, 13, 19, 20 and 21 in Table 3, shows no evidence of an effect of ST use, since both the fixed-effect estimate (1.04, 95% CI 0.86 1.25) and the random-effects estimate (1.03, 0.71 1.49), were only slightly in excess of 1.00 and not statistically significant.

Thereafter, the principal component analysis (see Appendix) was used to select which of the variables to use as the proxy.

However, his argument has been refuted, partly owing to the fact that he used principal component analysis (see Fouly et al. 1990, for the criticism), which prompted studies onward to adopt confirmatory factor analysis and exploratory factor analysis with the Schmid-Leiman procedure instead, resulting in negating at least the strong version of the unitary model.

Effective dimensionality, or number of degrees of freedom of the five "top 300" datasets (Figure S1) can be inferred from Principal Component Analysis (see e.g., [34]).

In addition to charting the temporal changes in the distribution of abstracts across topic clusters, we also performed analysis of word frequency dynamics using principal components analysis (see Materials and Methods).

Each animal was assigned a factor scores derived from the principal component analysis (see Results, below), and these factor scores were used to determine each animal's aggregate performance across the battery of learning tests (i.e., to characterize the general learning ability of each animal).

We have provided a hierarchical clustering (see Figure S8) together with principal component analysis (see Figure S9).

Twenty-five days later, gene expression was measured using Affymetrix arrays and differential expression patterns identified by principal component analysis (see Supporting materials and methods Data S1 for details).

For these studies, no exclusions for ethnic outliers were made, but principal components analysis (see below) was used to adjust for inflation in these studies.

These workers used principal component analysis (see section 2.10) in conjunction with cluster analysis to classify the pixels in an image according to spectroscopic similarity and to extract representative cluster-averaged spectra.