ace_cor

Calculates ace based transformations and correlation, handling missing values and factors.

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

ace_cor function

<dl><dt>x</dt>
<dd>a numeric vector or factor</dd>
<dt>y</dt>
<dd>a numeric vector or factor</dd>
<dt>handle.na</dt>
<dd>If TRUE uses pairwise complete observations.</dd></dl>

Arguments

Calculates ace based transformations and correlation, handling missing values and factors. — ace_cor

<dl>

<dt>x</dt>
<dd>a numeric vector or factor</dd>


<dt>y</dt>
<dd>a numeric vector or factor</dd>


<dt>handle.na</dt>
<dd>If TRUE uses pairwise complete observations.</dd>

</dl>

ace_cor: Calculates ace based transformations and correlation, handling missing values and factors.

Description

Usage

Value

Arguments

Examples