Description Usage Arguments Details Value

Median of multidimensional data

1 |

`x` |
a matrix, data frame or vector of data points (a vector will be understood as 1D data, equivalent to a 1-column matrix). Rows with NA values will be dropped. |

`metric` |
a choice of 'euclidean','maximum','manhattan','canberra','minkowski', or 'binary'. Any unambiguous substring can be given, case insensitive. |

`q` |
the power in the minkowski metric. If |

`simple1d` |
boolean, if TRUE, will resort to the standard |

`...` |
other arguments passed to |

The median is calculated as the minimizer m of the sum of distances ||x_i-m||, where x_i are the data points.
In an N-dimensional space, each x_i is an N-dimensional vector, and so is m.
The distances are calculated according to the metric chosen (Euclidean by default). Minimization is done with `Rcgmin`

(note that exotic metrics you might cause convergence issues).
In 1D case, unless `simple1d`

is FALSE, the standard `median`

function is used instead of this method.

a vector of median components.

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