dcor.ttest

dcor.t

Defunct: use <code>dcorT.test</code> and <code>dcorT</code>.

 multivariate

 htest

E-statistics (energy) tests and statistics for multivariate and univariate inference,
including distance correlation, one-sample, two-sample, and multi-sample tests for
comparing multivariate distributions, are implemented. Measuring and testing
multivariate independence based on distance correlation, partial distance correlation,
multivariate goodness-of-fit tests, k-groups and hierarchical clustering based on energy
distance, testing for multivariate normality, distance components (disco) for non-parametric
analysis of structured data, and other energy statistics/methods are implemented.

Maria Rizzo

energy

E-Statistics: Multivariate Inference via the Energy of Data

Gabor Szekely

dcor.ttest function

<dl> <dt>x</dt>
<dd>data or distances of first sample</dd> <dt>y</dt>
<dd>data or distances of second sample</dd> <dt>distance</dt>
<dd>TRUE if x and y are distances, otherwise FALSE</dd></dl>

Arguments

Maria L. Rizzo <a href="/link/mrizzo%40bgsu.edu?package=energy&version=1.7-12" data-mini-rdoc="energy::mrizzo@bgsu.edu">mrizzo@bgsu.edu</a> and
Gabor J. Szekely

Author

Distance Correlation t-test for High Dimensions — dcor.ttest

<dl>

 <dt>x</dt>
<dd>data or distances of first sample</dd>

 <dt>y</dt>
<dd>data or distances of second sample</dd>

 <dt>distance</dt>
<dd>TRUE if x and y are distances, otherwise FALSE</dd>

</dl>

Maria L. Rizzo <a href='mailto:mrizzo@bgsu.edu'>mrizzo@bgsu.edu</a> and
Gabor J. Szekely

dcor.ttest: Distance Correlation t-test for High Dimensions

Description

Usage

Arguments

Author

Details