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If input noise signals contain no interchannel correlation, the distance between microphones does not affect the results.
For the clustering analysis shown in Figure 2, samples were clustered using R software (v2.0.1; package class v7.2.10) and the following parameters: complete linkage; distant metric = 1 – Pearson correlation (the distance measured between any two samples was calculated using the maximal number of common targets between the two samples).
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We did not observe any correlation when the distance was <0.4 Mb, where 26 positive correlations existed.
However, against the faux 3′-UTR model prediction, we found no clear correlation with the distance of the PTC from the 3′ end (we also found no correlation with the distance from the 5′ end, data not shown).
Correlation of the distance to the border with regional labor market characteristics is a potential concern.
There was a good positive correlation between the distance walked in SWT and maximal oxygen consumption (r = 0.675; p < 0.001).
Hierarchical clusters were performed using 1 – the Pearson correlation as the distance measure [32].
Hierarchical clustering was performed using a program written in-house that uses the spearman rank correlation as the distance function.
Trees were re-sampled by jackknifing with 1,000 iterations with Pearson correlation as the distance matric and complete linkage rule.
It could be due to its high correlation with the distance from the maternity hospital.
Hierarchical clustering was performed using Pearson's correlation as the distance metric and average linkage clustering.
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CEO of Professional Science Editing for Scientists @ prosciediting.com