biplotEZ: EZ-to-Use Biplots

Provides users with an EZ-to-use platform for representing data with biplots. Currently principal component analysis (PCA) and canonical variate analysis (CVA) biplots are included. This is accompanied by various formatting options for the samples and axes. Alpha-bags and concentration ellipses are included for visual enhancements and interpretation. For an extensive discussion on the topic, see Gower, J.C., Lubbe, S. and le Roux, N.J. (2011, ISBN: 978-0-470-01255-0) Understanding Biplots. Wiley: Chichester.

Version: 1.2.0
Imports: ggplot2, ggrepel, grDevices, grid, withr
Suggests: knitr, rmarkdown
Published: 2023-11-28
Author: Sugnet Lubbe ORCID iD [aut, cre], Niël le Roux ORCID iD [aut], Johané Nienkemper-Swanepoel ORCID iD [aut], Raeesa Ganey ORCID iD [aut], Carel van der Merwe ORCID iD [aut]
Maintainer: Sugnet Lubbe <muvisu at sun.ac.za>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: biplotEZ results

Documentation:

Reference manual: biplotEZ.pdf
Vignettes: Class separation
biplotEZ

Downloads:

Package source: biplotEZ_1.2.0.tar.gz
Windows binaries: r-prerel: biplotEZ_1.2.0.zip, r-release: biplotEZ_1.2.0.zip, r-oldrel: biplotEZ_1.2.0.zip
macOS binaries: r-prerel (arm64): biplotEZ_1.2.0.tgz, r-release (arm64): biplotEZ_1.2.0.tgz, r-oldrel (arm64): biplotEZ_1.2.0.tgz, r-prerel (x86_64): biplotEZ_1.2.0.tgz, r-release (x86_64): biplotEZ_1.2.0.tgz
Old sources: biplotEZ archive

Linking:

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