calculate_convex_hull

Calculate Convex Hulls for one variable

Provides methods for analyzing the dispersion of tabular datasets
with batched and ordered samples. Based on convex hull or integrated covariance
Mahalanobis, several indicators are implemented for inter and intra batch dispersion
analysis. It is designed to facilitate robust statistical assessment of data
variability, supporting applications in exploratory data analysis and quality
control, for such datasets as the one found in metabololomics studies.
For more details see Salanon (2024) <doi:10.1016/j.chemolab.2024.105148> and
Salanon (2025) <doi:10.1101/2025.08.01.668073>.

Etienne Jules

dispersionIndicators

Indicators for the Analysis of Dispersion of Datasets with
Batched and Ordered Samples

Brice Mulot

Elfried Salanon

INRAE (Institut national de recherche pour l'agriculture, l'alimentation et l'environnement) 

calculate_convex_hull function

<dl><dt>data</dt>
<dd>Data frame containing the 'batch', 'order' and variable
'value' columns.</dd>
<dt>var_name</dt>
<dd>Name of the variable to calculate convex hull for.</dd>
<dt>impute_method</dt>
<dd>One of "mean" or "median".</dd></dl>

Arguments

Calculate Convex Hulls for one variable — calculate_convex_hull

<dl>

<dt>data</dt>
<dd>Data frame containing the 'batch', 'order' and variable
'value' columns.</dd>


<dt>var_name</dt>
<dd>Name of the variable to calculate convex hull for.</dd>


<dt>impute_method</dt>
<dd>One of "mean" or "median".</dd>

</dl>

calculate_convex_hull: Calculate Convex Hulls for one variable

Description

Usage

Value

Arguments