is_bounded: Get metrics bounded by the range [-1, 1]

Description Usage Value

Description

Test whether the values for a metric of interest lie within the range [-1, 1]. This returns true for Pearson/Spearman/Kendall correlations, biweight midcorrelation, zero-inflated Kendall's tau, mutual information (as implemented in WGCNA), the rho_p measure of proportionality, weighted rank correlation, and cosine similarity.

Usage

1
is_bounded(metric)

Value

true if the metric is within the range [-1, 1], false otherwise


skinnider/dismay documentation built on May 6, 2019, 12:21 p.m.