pair_cancor

Calculates canonical correlation for every 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_cancor function

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

Arguments

Canonical correlation — pair_cancor

<dl>

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


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


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

</dl>

pair_cancor: Canonical correlation

Description

Usage

Value

Arguments

Examples