pair_dcor

Calculates distance correlation for every numeric variable pair in a dataset.

We provide a tidy data structure and visualisations for multiple or grouped  variable correlations,
general association measures scagnostics and other pairwise scores  suitable for numerical, ordinal and nominal variables.
Supported measures include distance correlation, maximal information, ace correlation, Kendall's tau, and polychoric correlation.

Catherine Hurley

bullseye

Visualising Multiple Pairwise Variable Correlations and Other
Scores

Amit Chinwan

pair_dcor function

<dl><dt>d</dt>
<dd>A dataframe</dd>
<dt>handle.na</dt>
<dd>If TRUE uses pairwise complete observations to calculate distance correlation, otherwise NAs not handled.</dd>
<dt>...</dt>
<dd>other arguments</dd></dl>

Arguments

Distance correlation — pair_dcor

<dl>

<dt>d</dt>
<dd>A dataframe</dd>


<dt>handle.na</dt>
<dd>If TRUE uses pairwise complete observations to calculate distance correlation, otherwise NAs not handled.</dd>


<dt>...</dt>
<dd>other arguments</dd>

</dl>

pair_dcor: Distance correlation

Description

Usage

Value

Arguments

Details

Examples