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

The Mahalanobis distance between two groups of vectors

1 |

`data` |
A matrix with columns representing features (or variables) and rows representing independent samples |

`groups` |
A factor or logical vector with length equal to the number of rows
(samples) in the |

`method` |
A character string determining the method that should be used to
estimate the covariance matrix. The default value of " |

The Mahalanobis distance between two groups of vectors is the distance between their centers, computed in the equivalent of a principal component space that accounts for different variances.

Returns a numeric vector of length 1.

Kevin R. Coombes krc@silicovore.com, P. Roebuck proebuck@mdanderson.org

Mardia, K. V. and Kent, J. T. and Bibby, J. M.

*Multivariate Analysis*.

Academic Press, Reading, MA 1979, pp. 213–254.

1 2 3 4 5 |

```
[,1]
[1,] 2.58538
```

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