Indicators for the Analysis of Dispersion of Datasets with Batched and Ordered Samples
Calculate Convex Hulls for one variable
Calculate the intra/inter batch dispersion indicators and their ratio ...
Calculate the intra/inter batch dispersion ratio indicator on convex h...
Compute the shoelace core for convex hulls of a single variable
Compute ICM (Integrated Covariance Mahalanobis) Distances
Computes Integrated Covariance Mahalanobis (ICM) distances of all indi...
Computes Integrated Covariance Mahalanobis (ICM) distances of all indi...
Computes Integrated Covariance Mahalanobis (ICM) distances for individ...
Calculate the inter batch dispersion indicator on convex hulls of a si...
Computes Integrated Covariance Mahalanobis (ICM) distances between bat...
Calculate the intra batch dispersion indicator on convex hulls of a si...
Computes Integrated Covariance Mahalanobis (ICM) mean distances within...
Analyze a set of variables using convex hulls.
Function to check if hull_data_list is a valid list of data frames
Plot all convex hulls for each variable in a PDF file.
Plot the convex hulls of a single variable.
Save ICM Distances to CSV Files
Function to check if a single variable data frame is valid
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>.