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Dataplot Vol 2 Vol 1

KENDALLS TAU

Name:
    KENDALLS TAU (LET)
Type:
    Let Subcommand
Purpose:
    Compute Kendall's tau coefficient between two paired variables.
Description:
    Kendall's tau coefficient is a measure of concordance between two paired variables. Given the pairs (Xi,Yi) and (Xj,Yj), then

      \( \frac{Y_j - Y_i}{X_j - X_i} \) > 0 - pair is concordant

      \( \frac{Y_j - Y_i}{X_j - X_i} \) < 0 - pair is discordant

      \( \frac{Y_j - Y_i}{X_j - X_i} \) = 0 - pair is considered a tie

      Xi = Xj - pair is not compared

    Kendall's tau is computed as

      \( \tau = \frac{N_c - N_d}{N_c + N_d} \)

    with Nc and Nd denoting the number of concordant pairs and the number of discordant pairs, respectively, in the sample. Ties add 0.5 to both the concordant and discordant counts. There are \( \left( \begin{array}{c} n \\ 2 \end{array} \right) \) possible pairs in the bivariate sample.

    Kendall's tau is an alternative to the Spearman's rho rank correlation.

    Kendall's tau or the rank correlation may be preferred to the standard correlation coefficient in the following cases:

    1. When the underlying data does not have a meaningful numerical measure, but it can be ranked;

    2. When the relationship between the two variables is not linear;

    3. When the normality assumption for two variables is not valid.
Syntax:
    LET <par> = KENDALLS TAU <y1> <y2>
                            <SUBSET/EXCEPT/FOR qualification>
    where <y1> is the first response variable;
                <y2> is the second response variable;
                <par> is a parameter where the computed Kendall's tau is stored;
    and where the <SUBSET/EXCEPT/FOR qualification> is optional.
Examples:
    LET A = KENDALLS TAU Y1 Y2
    LET A = KENDALLS TAU Y1 Y2 SUBSET TAG > 2
Note:
    The two variables must have the same number of elements.
Note:
    Dataplot statistics can be used in a number of commands. For details, enter

Default:
    None
Synonyms:
    None
Related Commands: Reference:
    Conover (1999), "Practical Nonparametric Statistics," Third Edition, Wiley, pp. 319-323.
Applications:
    Exploratory Data Analysis
Implementation Date:
    2004/10
Program:
     
    . Following data from page 320 of Conover, "Practical
    . Nonparametric Statistics", Third Edition, 1999, Wiley.
    LET Y1 = DATA 7 8 4 5.5 4.5 4 5 3 2 0.5 1
    LET Y2 = DATA 4 2 5 0.5 1.5 2 0 1 0 1.5 0
    LET A1 = KENDELLS TAU Y1 Y2
        

    The computed value of Kendell's tau is 0.4355.

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Date created: 12/22/2004
Last updated: 11/16/2015

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