| tau_x {ConsRank} | R Documentation |
TauX (tau exstension) rank correlation coefficient
Description
Tau exstension is a new rank correlation coefficient defined by Emond and Mason (2002)
Usage
tau_x(X, Y = NULL)
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
iw_tau_x item-weighted tau_x rank correlation coefficient
Examples
data(BU)
RD<-BU[,1:3]
Tau<-tau_x(RD)
Tau1_3<-tau_x(RD[1,],RD[3,])