As of Version 9.0, SpearmanRankCorrelation has been renamed to SpearmanRho and is part of the built-in Wolfram Language kernel.

gives Spearman's rank correlation coefficient for the realvalued vectors xlist and ylist.


  • To use SpearmanRankCorrelation, you first need to load the Multivariate Statistics Package using Needs["MultivariateStatistics`"].
  • Spearman's rank correlation coefficient is a measure of association based on the rank differences between two lists.
  • Spearman's is given by , where n=Length[xlist], is the rank difference between and , is the correction term for ties in xlist, and is the correction term for ties in ylist.
  • The arguments xlist and ylist can be any realvalued vectors of equal length.

ExamplesExamplesopen allclose all

Basic Examples  (1)Basic Examples  (1)

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Spearman's rank correlation for two vectors:

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