The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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: 0.4.2
Imports: stats, ggplot2, reshape2, mice
Suggests: rmarkdown, testthat (≥ 3.0.0)
Published: 2024-09-23
DOI: 10.32614/CRAN.package.cmahalanobis
Author: Flavio Gioia [aut, cre]
Maintainer: Flavio Gioia <flaviogioia.fg at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: cmahalanobis results

Documentation:

Reference manual: cmahalanobis.pdf

Downloads:

Package source: cmahalanobis_0.4.2.tar.gz
Windows binaries: r-devel: cmahalanobis_0.4.2.zip, r-release: cmahalanobis_0.4.2.zip, r-oldrel: cmahalanobis_0.4.2.zip
macOS binaries: r-release (arm64): cmahalanobis_0.4.2.tgz, r-oldrel (arm64): cmahalanobis_0.4.2.tgz, r-release (x86_64): cmahalanobis_0.4.2.tgz, r-oldrel (x86_64): cmahalanobis_0.4.2.tgz
Old sources: cmahalanobis archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=cmahalanobis to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.