Description Usage Arguments Details Author(s) Examples

Computes the Tukey depth of a point or vectors of points with respect to a multivariate data set.

1 2 | ```
depthTukey(u, X, ndir = 1000, name = "X", threads = -1, exact = FALSE,
...)
``` |

`u` |
Numerical vector or matrix whose depth is to be calculated. Dimension has to be the same as that of the observations. |

`X` |
The data as a matrix, data frame or list. If it is a matrix or data frame, then each row is viewed as one multivariate observation. If it is a list, all components must be numerical vectors of equal length (coordinates of observations). |

`ndir` |
number of directions used in computations |

`name` |
name for this data set - it will be used on plots from depthproc. |

`threads` |
number of threads used in parallel computations. Default value -1 means that all possible cores will be used. |

`exact` |
if TRUE exact alhorithm will be used . Currently it works only for 2 dimensional data set. |

`...` |
currently not supported. |

Irrespective of dimension, Projection and Tukey's depth is obtained by approximate calculation.

Returns the depth of multivariate point `u`

with respect to data set `X`

.

Daniel Kosiorowski, Mateusz Bocian, Anna Wegrzynkiewicz and Zygmunt Zawadzki from Cracow University of Economics.

1 2 3 4 5 6 7 8 9 | ```
## Not run:
x = matrix(rnorm(3000), nc = 3)
depthTukey(x, ndir = 2000)
## End(Not run)
# Exact algorithm in 2d
x = matrix(rnorm(2000), nc = 2)
depthTukey(x, exact = TRUE)
``` |

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