The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.

MultBiplotR: Multivariate Analysis Using Biplots in R

Several multivariate techniques from a biplot perspective. It is the translation (with many improvements) into R of the previous package developed in 'Matlab'. The package contains some of the main developments of my team during the last 30 years together with some more standard techniques. Package includes: Classical Biplots, HJ-Biplot, Canonical Biplots, MANOVA Biplots, Correspondence Analysis, Canonical Correspondence Analysis, Canonical STATIS-ACT, Logistic Biplots for binary and ordinal data, Multidimensional Unfolding, External Biplots for Principal Coordinates Analysis or Multidimensional Scaling, among many others. References can be found in the help of each procedure.

Version: 23.11.0
Depends: R (≥ 4.0.0)
Imports: MASS, scales, geometry, deldir, mirt, GPArotation, Hmisc, car, dunn.test, gplots, lattice, polycor, dae, xtable, mvtnorm, psych, ThreeWay, knitr
Published: 2023-11-21
DOI: 10.32614/CRAN.package.MultBiplotR
Author: Jose Luis Vicente-Villardon, Laura Vicente-Gonzalez, Elisa Frutos-Bernal
Maintainer: Jose Luis Vicente Villardon <villardon at usal.es>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: MultBiplotR results

Documentation:

Reference manual: MultBiplotR.pdf

Downloads:

Package source: MultBiplotR_23.11.0.tar.gz
Windows binaries: r-devel: MultBiplotR_23.11.0.zip, r-release: MultBiplotR_23.11.0.zip, r-oldrel: MultBiplotR_23.11.0.zip
macOS binaries: r-release (arm64): MultBiplotR_23.11.0.tgz, r-oldrel (arm64): MultBiplotR_23.11.0.tgz, r-release (x86_64): MultBiplotR_23.11.0.tgz, r-oldrel (x86_64): MultBiplotR_23.11.0.tgz
Old sources: MultBiplotR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MultBiplotR 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.
Health stats visible at Monitor.