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,])
```

*ConsRank*version 2.1.4 Index]