depthEuclid

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

multivariate

nonparametric

function

depth

Data depth concept offers a variety of powerful and user friendly
tools for robust exploration and inference for multivariate data. The offered
techniques may be successfully used in cases of lack of our knowledge on
parametric models generating data due to their nature. The
package consist of among others implementations of several data depth techniques
involving multivariate quantile-quantile plots, multivariate scatter estimators,
multivariate Wilcoxon tests and robust regressions.

Zygmunt Zawadzki

DepthProc

Statistical Depth Functions for Multivariate Analysis

Daniel Kosiorowski

Krzysztof Slomczynski

Mateusz Bocian

Anna Wegrzynkiewicz

depthEuclid function

<dl><dt>u</dt>
<dd>Numerical vector or matrix whose depth is to be calculated. Dimension has to be the same as that of the observations.</dd>
<dt>X</dt>
<dd>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).</dd></dl>

Arguments

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

Author

Euclidean Depth — depthEuclid

<dl>

<dt>u</dt>
<dd>Numerical vector or matrix whose depth is to be calculated. Dimension has to be the same as that of the observations.</dd>


<dt>X</dt>
<dd>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).</dd>

</dl>

depthEuclid: Euclidean Depth

Description

Usage

Arguments

Author

Details

Examples