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MultBiplotR

25.11.15Package record

Multivariate Analysis Using Biplots in R

0packages depend
6.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 7.8 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
Show 6 earlier changesHide 6 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-04-10
  • ERROR13 OK, 1 ERROR2026-04-09
  • OK14 OK2026-03-30
  • ERROR13 OK, 1 ERROR2026-03-28
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 25.11.15
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
203includes a package overview page
Examples that run
50%97 run in a plain check · 27 only when donttest examples are enabled (R CMD check --as-cran) · 6 never run · 64 hold no code
Exported functions with examples
95%
Documented parameters
98%
Return-value docs
100%
Help pages citing references
57%

Downloads

6.6K
CRAN downloads in the past year
Rank #7,147 · ~18/day · ~551/mo
Daily download trend is not available in this view yet.
45130 days
1.2K90 days
6.6K1 year
Compare downloads with other packages →
Also on92 r2u7 autocran

Dependencies

Declared dependencies
17 external dependencies (excludes base and recommended)

Installing MultBiplotR adds 157 packages (74 with compiled code, 117 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 4.0.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Maintainer since 1.3.30 (2021), Author
Author · added in 23.11.0
Author · added in 23.11.0
Listed in earlier versions (2)
no longer listed · 1.3.30 to 23.11.0
Vicente Villardon
no longer listed · 25.11.15
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 25.11.15Latest
    record
    2025-11-25 · current release · diff ↗ ·
    removed 2 exports
    PolyOrdinalLogBiplot, t3pcovr
    added 6 exports
    sigmoide, OrdinalLogBiplotGDRecursive, PolychorMatrix, PolyBiplot, ContributionPlot, OrdinalBiplotExpectedValues
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • unarchivedReturned to CRAN
    2023-11-21
  • 23.11.0
    record
    2023-11-21 · diff ↗ ·
    removed 2 exports
    plot3dCanonicalBiplot, plot3d.ContinuousBiplot
    added 16 exports
    BinaryLogBiplotGDRecursive, Biplot.PLSRBIN, PLSRBin, PLSRBinFit, BiplotFPCA, PolyOrdinalLogBiplot, BinaryPLSR, BinaryPLSFit, Biplot.BinaryPLSR, Convert3wArray2List, ConvertList23wArray, ThreeWay2FrontalSlices, TetraDualStatis, summary.TetraDualStatis, plot.TetraDualStatis, t3pcovr
  • archivedRemoved from CRAN
    2023-10-29
    requires archived package 'optimr'
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.3.30
    record
    2021-04-06
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-04-06
Total releases
3 / 5 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.0.0
Bundled data
114 KB / 18 files
Download size
401 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MultBiplotR")
Vicente Villardon, J. L., Frutos-Bernal, E., Vicente Villardon, J. L., & Vicente-Gonzalez, L. (2025). MultBiplotR: Multivariate Analysis Using Biplots in R (Version 25.11.15) [Computer software]. https://doi.org/10.32614/CRAN.package.MultBiplotR

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MultBiplotR version 25.11.15 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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