Owning Palette: Probability & Statistics VIs
Requires: Full Development System
Computes the Kendall's Tau correlation coefficient between input sequences X and Y.
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X is the first input sequence. |
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Y is the second input sequence. |
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correlation coefficient r returns the correlation coefficient between X and Y. |
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r^2 returns the square of correlation coefficient r. |
The Kendall's Tau correlation coefficient is a non-parametric measure of association between two data sets.
In a population with the Kendall's Tau correlation coefficient r, the odds ratio Pc /Pd of the concordant to discordant sets of observations equals (1+r)/(1–r). For example, in a population with a cross correlation r of 1/2, X and Y are three times as likely to be concordant than discordant.