compute_shoelace_core

Compute the shoelace core for convex hulls of a single 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) 

compute_shoelace_core function

<dl><dt>hull_data_list</dt>
<dd>named list of data frames of convex hulls, for each batch.</dd></dl>

Arguments

Compute the shoelace core for convex hulls of a single variable — compute_shoelace_core

<dl>

<dt>hull_data_list</dt>
<dd>named list of data frames of convex hulls, for each batch.</dd>

</dl>

compute_shoelace_core: Compute the shoelace core for convex hulls of a single variable

Description

Usage

Value

Arguments