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Step 2: Generation of pairwise comparison matrices The relative importance values are determined using Saaty's 1 9 scale, where a score of 1 represents equal influence between the two thematic maps, and a score of 9 indicates the extreme influence of one thematic map compared to other one.
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In addition to the pair-wise measures of linear association provided by the entries of the variance-covariance matrix, the relative size of its leading (largest) eigenvalues capture the degree of linear interdependence among the variables as a group.
However, for nearly buoyant worms imbedded in a soil matrix, the relative density of their surrounding media is highly variable and may preclude reliance on gravitaxis.
The optimized weights of kernel matrices reflect the relative importance of the different dataset in the fused kernel.
Those matrices represent the relative frequency of physical interaction for each RF in the genome with all of the other RFs.
Statistical analysis was carried out using R. MetaPhlan result files were read into R, and matrices containing the relative abundances of taxa at phylum and genus level for each sample were constructed.
A matrix with the relative kinship coefficients (K matrix) was used to correct for relatedness of individuals in further analyses.
Sensitivity matrix is the relative error of each coefficient in a degree versus order matrix: (7 S n,m) represents the percentage degree-normalized error in a recovered coefficient of degree n and order m.
For example, the measurement matrix ΦbigR employed in the satellite experiment is closely related to a partial circulant matrix, where the relative shifts between the rows represent the relative offsets between the camera positions.
Each point on the diagram represents the location of a distance matrix, with the relative closeness of points to one another being indicative of the relative similarities of the distance matrices.
In the same vein, the principal Eigen vectors of the normalized criteria matrix gave the relative weights of the criteria (W j ).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com