RobCat | R Documentation |

`RobCat`

computes p value based on robust CAT algorithm to compare two means vectors
under multivariate Behrens-Fisher problem.

```
RobCat(X, Y, M = 1000, alpha = 0.75)
```

`X` |
a matrix or data frame for first group. |

`Y` |
a matrix or data frame for second group. |

`M` |
iteration number and the default is 1000. |

`alpha` |
numeric parameter controlling the size of the subsets over which the determinant is minimized; roughly alpha*n, observations are used for computing the determinant. Allowed values are between 0.5 and 1 and the default is 0.75. |

This function computes p value based on robust CAT algorithm to compare two means vectors under multivariate Behrens-Fisher problem. When p value<0.05, it means the difference of two mean vectors is significant statistically.

a list with 2 elements:

`Cstat` |
Calculated value of test statistic |

`pval` |
The p value |

Hasan BULUT <hasan.bulut@omu.edu.tr>

```
data(iris)
RobCat(X=iris[1:20,-5],Y=iris[81:100,-5])
```

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