Dual Scaling Analysis of Data
Overview
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.
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
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- 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
Dependencies
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.
Code & Tests
Datasets
People & History
Maintainer since 0.9.1 (2014)
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- unarchivedReturned to CRAN2023-11-09
- 1.0.0Latest2023-11-09 · 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 - RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- archivedRemoved from CRAN2018-06-17check problems were not corrected despite reminders
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- RR 3.1.0 released · 2014-04-10
Show 2 earlier eventsHide 2 earlier events
- 0.9.12014-01-27
- RR 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.
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.