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The comparison between these two matrices will be presented by experiments in the next section.
The mixing degrees of matrix minerals might be different between these two matrices.
We then tested for correlation between these two matrices and the matrices of pairwise aggression (AI, MI), relatedness (R) and Bray-Curtis-distances of CHC profiles (dij) by performing mantel tests (10000 permutations) between matrix pairs.
The difference between these two matrices is shown in Figure 6C.
As the matrix of dependent variables [ Y1] changes to a new, reordered matrix [ Y r], the correlation between these two matrices (corr[ Y1, Yr]) decreases.
The correlation factors between these two matrices for 1,2,3,4,7,8-hexaCDD and 2,3,4,7,8-pentaCDF were 0.63 and 0.93, respectively, whereas the other PCDD/PCDF isomers showed weak or no correlations.
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The differences between the cells in these two matrices are considerably smaller than those in Tables 2 and 3.
Using these two matrices, a trade-off between speedup and accuracy in various bit ranges can be achieved.
(3) Finalization/validation of the matches (c) Computation of the similarity criterion between the two matrices: searching for corresponding maxima in the two matrices.
In spite of limited patch size and lower complexity, the forest remnants were those with greatest species richness and demonstrated clear similarities even between the two matrices.
The above derivation implies that the smaller the maximum coherence between the two matrices, and the lower is the number of required samples.
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