pairwise_by

Constructs a pairwise result for each level of a by variable.

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

pairwise_by function

<dl><dt>d</dt>
<dd>a dataframe</dd>
<dt>by</dt>
<dd>a character string for the name of the conditioning variable.</dd>
<dt>pair_fun</dt>
<dd>A function returning a <code>pairwise</code> from a dataset.</dd>
<dt>ungrouped</dt>
<dd>If TRUE calculates the ungrouped score in addition to grouped scores.</dd></dl>

Arguments

Constructs a pairwise result for each level of a by variable. — pairwise_by

<dl>

<dt>d</dt>
<dd>a dataframe</dd>


<dt>by</dt>
<dd>a character string for the name of the conditioning variable.</dd>


<dt>pair_fun</dt>
<dd>A function returning a <code>pairwise</code> from a dataset.</dd>


<dt>ungrouped</dt>
<dd>If TRUE calculates the ungrouped score in addition to grouped scores.</dd>

</dl>

pairwise_by: Constructs a pairwise result for each level of a by variable.

Description

Usage

Value

Arguments

Examples