compute_intra_batch_dispersion

Calculate the intra batch dispersion indicator on 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_intra_batch_dispersion function

<dl><dt>hull_data_shoelace_list</dt>
<dd>named list of convex hulls data frames with an additional column of shoelace core
values, for each batch.</dd></dl>

Arguments

Calculate the intra batch dispersion indicator on convex hulls of a single
variable — compute_intra_batch_dispersion

<dl>

<dt>hull_data_shoelace_list</dt>
<dd>named list of convex hulls data frames with an additional column of shoelace core
values, for each batch.</dd>

</dl>

compute_intra_batch_dispersion: Calculate the intra batch dispersion indicator on convex hulls of a single variable

Description

Usage

Value

Arguments