hull_data_list_check

Function to check if hull_data_list is a valid list of data frames

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) 

hull_data_list_check function

<dl><dt>hull_data_list</dt>
<dd>List of data frames representing convex hulls.</dd>
<dt>name</dt>
<dd>Name of the hull_data_list for error messages.</dd></dl>

Arguments

Function to check if hull_data_list is a valid list of data frames — hull_data_list_check

<dl>

<dt>hull_data_list</dt>
<dd>List of data frames representing convex hulls.</dd>


<dt>name</dt>
<dd>Name of the hull_data_list for error messages.</dd>

</dl>

hull_data_list_check: Function to check if hull_data_list is a valid list of data frames

Description

Usage

Value

Arguments