Calculates the total number of Anti-Robinson violations over all triplets
in the matrix using the specified ordering. This is equivalent to GAR with a full window.

Provides a comprehensive framework for visualizing associations and interaction structures in matrix-formatted data using Generalized Association Plots (GAP). The package implements multiple proximity computation methods (e.g., correlation, distance metrics), ordering techniques including hierarchical clustering (HCT) and Rank-2-Ellipse (R2E) seriation, and optional flipping strategies to enhance visual symmetry. It supports a variety of covariate-based color annotations, allows flexible customization of layout and output, and is suitable for analyzing multivariate data across domains such as social sciences, genomics, and medical research. The method is based on Generalized Association Plots introduced by Chen (2002) <https://www3.stat.sinica.edu.tw/statistica/J12N1/J12N11/J12N11.html> and further extended by Wu, Tien, and Chen (2010) <doi:10.1016/j.csda.2008.09.029>.

Shu-Yu Lin

GAPR

Generalized Association Plots

AR function

<dl><dt>mat</dt>
<dd>A symmetric numeric distance matrix.</dd>
<dt>order</dt>
<dd>A permutation vector specifying the new row/column order.</dd></dl>

Arguments

Compute the Anti-Robinson (AR) score — AR

<dl>

<dt>mat</dt>
<dd>A symmetric numeric distance matrix.</dd>


<dt>order</dt>
<dd>A permutation vector specifying the new row/column order.</dd>

</dl>

AR: Compute the Anti-Robinson (AR) score

Description

Usage

Value

Arguments