# cit.dist

### Description

This function computes and returns the distance matrix computed by using the specified distance measure to compute the distances between the rows of a data matrix.

### Usage

1 2 3 4 5 6 7 |

### Arguments

`x` |
a numeric matrix, data frame or "dist" object. |

`meth` |
the distance measure to be used. This must be one of "pearson","spearman","euclidean", "maximum", "manhattan", "canberra", "binary" or "minkowski". Any unambiguous substring can be given. |

`use` |
method for computing covariance when NAs, choice between "pairwise.complete.obs", "all.obs" and "complete.obs" (cf cor function parameter) |

`diag` |
logical value indicating whether the diagonal of the distance matrix should be printed |

`upper` |
logical value indicating whether the upper triangle of the distance matrix should be printed |

`p` |
the power of the Minkowski distance. |

`replaceNA` |
a boolean indicating if NA value should be replace by |

### Value

required

### Note

This is a contribution from the Tumor Identity Cards (CIT) program founded by the 'Ligue Nationale Contre le Cancer' (France): http://cit.ligue-cancer.net. For any question please contact CITR@ligue-cancer.net

### Author(s)

Aurelien de Reynies, Mickael Guedj

### See Also

dist