Tau_X: TauX (tau exstension) rank correlation coefficient

Description Usage Arguments Value Author(s) References See Also Examples

View source: R/ALL.r View source: R/Tau_X.R

Description

Tau exstension is a new rank correlation coefficient defined by Emond and Mason (2002)

Usage

1
Tau_X(X, Y = NULL)

Arguments

X

a M by N data matrix, in which there are N judges and M objects to be judged. Each row is a ranking of the objects which are represented by the columns. If there is only X as input, the output is a square matrix containing the Tau_X rcc.

Y

A row vector, or a n by M data matrix in which there are n judges and the same M objects as X to be judged.

Value

Tau_x rank correlation coefficient

Author(s)

Antonio D'Ambrosio antdambr@unina.it

References

Emond, E. J., and Mason, D. W. (2002). A new rank correlation coefficient with application to the consensus ranking problem. Journal of Multi-Criteria Decision Analysis, 11(1), 17-28.

See Also

kemenyd Kemeny distance

Examples

1
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3
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data(BU)
RD=BU[,1:3]
Tau=Tau_X(RD)
Tau1_3=Tau_X(RD[1,],RD[3,])

ConsRank documentation built on May 20, 2017, 12:54 a.m.

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