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dualScale

1.0.0Package record

Dual Scaling Analysis of Data

0packages depend
2.4Kdownloads / year
71.3%test coverage
13/13flavors OK

Overview

About

Dual Scaling, developed by Professor Shizuhiko Nishisato (1994, ISBN: 0-9691785-3-6), is a fundamental technique in multivariate analysis used for data scaling and correspondence analysis. Its utility lies in its ability to represent multidimensional data in a lower-dimensional space, making it easier to visualize and understand underlying patterns in complex data. This technique has been implemented to handle various types of data, including Contingency and Frequency data (CF), Multiple-Choice data (MC), Sorting data (SO), Paired-Comparison data (PC), and Rank-Order data (RO), providing users with a powerful tool to explore relationships between variables and observations in various fields, from sociology to ecology, enabling deeper and more efficient analysis of multivariate datasets.

Changes in 1.0.0

Release of a new package for the calculation of the different options offered by Professor S. Nishisato's Dual Scaling process.

This version includes the following options:

  • CF: Contingency and frequency data
  • MC: Multiple-choince data
  • SO: Sorting data
  • PC: Paired-comparison data
  • RO: Rank-order data

In turn, the package allows to display a summary of the results, as well as a default graph (with 4 different options). The package offers the option of obtaining the data used to make the graphs.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.6 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.0
READMEYes · 2 wordsVignettesNoNEWSYes · 67% structured · mentions 1.0.0Citation fileYes · software entry onlyWebsitenot declared in DESCRIPTION
Help pages
19 (3 internal)
Examples that run
100%10 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
32%

Downloads

2.4K
CRAN downloads in the past year
Rank #19,030 · ~7/day · ~203/mo
Daily download trend is not available in this view yet.
28730 days
68590 days
2.4K1 year
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Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing dualScale adds 24 packages (12 with compiled code, 17 MB of source tarballs). Heaviest: ggplot2 6.0 MB, Rcpp 1.8 MB, isoband 1.5 MB.

Depends (1)
R >= 3.5.0
Imports (11)
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer · added in 1.0.0
Contributor

Maintainer since 0.9.1 (2014)

Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • unarchivedReturned to CRAN
    2023-11-09
  • 1.0.0Latest
    record
    2023-11-09 · current release · diff ↗ ·
    removed 1 export
    pattern:^[[:alpha:]]+
    added 7 exports
    ds_cf, ds_mc, ds_mc_check, ds_mcf, ds_pc, ds_ro, plot_data
  • 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
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • archivedRemoved from CRAN
    2018-06-17
    check problems were not corrected despite reminders
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
Show 2 earlier eventsHide 2 earlier events
  • 0.9.1
    record
    2014-01-27
  • R
    R 3.0.0 released · 2013-04-03

Package metadata

First published
2014-01-27
Total releases
2 / 12 yrs
License
AGPL (>= 3) OSI · relicensed from GPL-2 in 1.0.0
Minimum R
≥ 3.5.0
Bundled data
1.2 KB / 6 files
Download size
39 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("dualScale")

The package provides a citation file, so citation() returns the authors' own entry.

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 dualScale version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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