multivariate_tests

Performs beta-dispersion and PERMANOVA analyses.

Provides functions to analyze and visualize meristic and mensural
phenotypic data in a comparative framework. The package implements an
automated pipeline that summarizes traits, identifies diagnostic variables
among groups, performs multivariate and univariate statistical analyses, and
produces publication-ready graphics. An earlier implementation (v1.0.0) is
described in Torres (2025) <doi:10.64898/2025.12.18.695244>.

Javier Torres

Orangutan

Automated Analysis of Phenotypic Data

multivariate_tests function

<dl><dt>df</dt>
<dd>A cleaned data frame containing morphometric traits.</dd>
<dt>output_dir</dt>
<dd>Directory where results will be written.</dd>
<dt>seed_disp</dt>
<dd>Optional integer; if provided, sets the random seed
immediately before beta-dispersion permutation tests to ensure reproducibility.</dd>
<dt>seed_perm</dt>
<dd>Optional integer; if provided, sets the random seed
immediately before PERMANOVA permutation tests to ensure reproducibility.</dd></dl>

Arguments

Run multivariate statistical tests — multivariate_tests

<dl>

<dt>df</dt>
<dd>A cleaned data frame containing morphometric traits.</dd>


<dt>output_dir</dt>
<dd>Directory where results will be written.</dd>


<dt>seed_disp</dt>
<dd>Optional integer; if provided, sets the random seed
immediately before beta-dispersion permutation tests to ensure reproducibility.</dd>


<dt>seed_perm</dt>
<dd>Optional integer; if provided, sets the random seed
immediately before PERMANOVA permutation tests to ensure reproducibility.</dd>

</dl>

multivariate_tests: Run multivariate statistical tests

Description

Usage

Value

Arguments