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While the neuropsychological test scores differed significantly between the clusters, only minor differences were observed in the clinical variables.
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The maximum pairwise distance between subjects adopted in our analysis assigns a small distance between clusters only if all subjects in the clusters are close to each other in their test performance.
All correlations between the clusters are <0.80 and only 31 of 703 pair-wise comparisons between clusters have correlations >0.70, demonstrating a high degree of separation between the clusters.
On the contrary, non-hierarchical complete-linkage clustering [24: 358] fuses two clusters only if the distances between all the objects in the clusters are links.
First, for conveying the association between the clusters, in this work we only visualize the cardinality of the association and filter them by variance.
Pairwise comparisons between the clusters showed that LG7 loci were only outliers in tests involving the Iceland-inshore group (Fig. 4).
Only significant differences (P < 0.05) between the clusters are described and discussed.
The intersection between the clusters of IPR BG clusters and the BF clusters is surprisingly low (only 623 clusters, 12% of the IPR clusters).
Significant differences between the clusters are presented.
We show that with equal sized clusters, if the covariate of interest is randomly assigned at the cluster level, only accounting for non-zero covariances at the cluster level, and ignoring correlations between clusters, leads to valid standard errors and confidence intervals.
Similarity between the two clusters was only 20%.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com