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Three principal components (PCs) each were identified for the two clusters.
Significant effects across different work methods were found for the two clusters, F (1, 150) = 14.33, p = .000.000
Principal component analysis was applied to standardized datasets separately for the two clusters delineated by CA in order to identify and compare the factors influencing the high and low pollution clusters.
For a more detailed explanation, see the caption for Fig. 9. Thus, up to this point in our study, we have obtained transpressive local stress tensors for the two clusters of aftershocks.
Genetic distance between genetic groups as measured by GST (Nei 1973) was 0.129, 0.303 and 0.655 for the two clusters identified in O. alta, O. grandiglumis and O. glumaepatula, respectively, and varied between 0.068 and 0.184 for the four clusters identified in O. latifolia.
Moreover, this value of k also maximizes the differences between the means of rj for the two clusters.
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Clinical and molecular characteristics for each of the two clusters are summarized in Table 5.
For the tetraploid model, there were 2645 SNPs with boundaries for all five clusters, 858 SNPs with boundaries for four of the five clusters, 945 SNPs with boundaries for three of the clusters, and 583 SNPs with boundaries for two of the clusters.
In this case, dummy variables are created for three of the four clusters.
Genetic diversity within groups (He) was calculated for each of the four clusters.
In this section we describe the procedure for construction of the five clusters of features.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com