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represent (version 1.0.1)

Determine How Representative Two Multidimensional Data Sets are

Description

Compute the values of various parameters evaluating how similar two multidimensional datasets' structures are in multidimensional space, as described in: Jouan-Rimbaud, D., Massart, D. L., Saby, C. A., Puel, C. (1998), . The computed parameters evaluate three properties, namely, the direction of the data sets, the variance-covariance of the data points, and the location of the data sets' centroids. The package contains workhorse function jrparams(), as well as two helper functions Mboxtest() and JRsMahaldist(), and four example data sets.

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Version

Install

install.packages('represent')

Monthly Downloads

211

Version

1.0.1

License

GPL-3

Maintainer

Last Published

November 3rd, 2023

Functions in represent (1.0.1)

DATASET.3

A 50 x 10 data set
DATASET.4

A 50 x 10 data set
jrparams

Assess similarity of two multidimensional data sets
DATASET.2

A 50 x 5 data set
DATASET.1

A 50 x 5 data set
MBoxtest

Compute Box's M-statistic
JRsMahaldist

Compute Mahalanobis distance
represent-package

Determine the representativity of two multidimensional data sets