cmahalanobis: Calculate Distance Measures for a Given List of Data Frames with Factors

It provides functions that calculate Mahalanobis distance, Euclidean distance, Manhattan distance and Chebyshev distance between each pair of species in a list of data frames. These metrics are fundamental in various fields, such as cluster analysis, classification, and other applications of machine learning and data mining, where assessing similarity or dissimilarity between data is crucial. The package is designed to be flexible and easily integrated into data analysis workflows, providing reliable tools for evaluating distances in multidimensional contexts.

Version: 0.3.0
Imports: stats, ggplot2, reshape2
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-05-20
DOI: 10.32614/CRAN.package.cmahalanobis
Author: Flavio Gioia
Maintainer: Flavio Gioia <flaviogioia.fg at>
License: GPL-3
NeedsCompilation: no
CRAN checks: cmahalanobis results


Reference manual: cmahalanobis.pdf
Vignettes: my-vignette3


Package source: cmahalanobis_0.3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): cmahalanobis_0.3.0.tgz, r-oldrel (arm64): cmahalanobis_0.3.0.tgz, r-release (x86_64): cmahalanobis_0.3.0.tgz, r-oldrel (x86_64): cmahalanobis_0.3.0.tgz
Old sources: cmahalanobis archive


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