eqdist.etest: Energy test of equality of two distributions

In Compositional: Compositional Data Analysis

Energy test of equality of two distributions

Description

Energy test of equality of two distributions.

Usage

eqdist.etest(x, y, R = 999)

Arguments

x	A matrix with the data of the first sample.
y	A matrix with the data of the second sample.
R	The number of permutations to apply in order to compute the approximate p-value.

Details

The energy distance of equality of two distributions is applied. The main advantage of this implementation is that it is light-weight, memory saving, however it works for two distributions only.

Value

The permutation based p-value of the energy test.

Author(s)

Michail Tsagris.

R implementation and documentation: Michail Tsagris [e-mail].

References

Szekely, G. J. and Rizzo, M. L. (2004) Testing for Equal Distributions in High Dimension. InterStat, November (5).

Szekely, G. J. (2000) Technical Report 03-05: E-statistics: Energy of Statistical Samples. Department of Mathematics and Statistics, Bowling Green State University.

See Also

aeqdist.etest, acor, acor.tune, alfa

Examples

x <- as.matrix(iris[1:50, 1:4])
y <- as.matrix(iris[51:100, 1:4])
eqdist.etest(x, y)

Compositional documentation built on April 4, 2025, 1:46 a.m.