Provides users with an EZ-to-use platform for representing data with biplots. Currently principal component analysis (PCA), canonical variate analysis (CVA) and simple correspondence analysis (CA) 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: 2.2 Imports: graphics, grDevices, plotrix, splines, stats, withr Suggests: caret, cluster, geometry, ggplot2, ggrepel, grid, knitr, MASS, R.devices, rgl, rmarkdown, testthat (≥ 3.0.0) Published: 2024-11-13 DOI: 10.32614/CRAN.package.biplotEZ Author: Sugnet Lubbe [aut, cre, cph], Niël le Roux [aut], Johané Nienkemper-Swanepoel [aut], Raeesa Ganey [aut], Ruan Buys [aut], Zoë-Mae Adams [aut], Peter Manefeldt [aut] Maintainer: Sugnet Lubbe <muvisu at sun.ac.za> License: MIT + file LICENSE NeedsCompilation: yes Materials: README CRAN checks: biplotEZ results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=biplotEZ to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4