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dualScale  

Dual Scaling Analysis of Data
View on CRAN: Click here


Download and install dualScale package within the R console
Install from CRAN:
install.packages("dualScale")

Install from Github:
library("remotes")
install_github("cran/dualScale")

Install by package version:
library("remotes")
install_version("dualScale", "1.0.0")



Attach the package and use:
library("dualScale")
Maintained by
Roberto de la Banda
[Scholar Profile | Author Map]
First Published: 2014-01-27
Latest Update: 2023-11-09
Description:
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.
How to cite:
Roberto de la Banda (2014). dualScale: Dual Scaling Analysis of Data. R package version 1.0.0, https://cran.r-project.org/web/packages/dualScale. Accessed 08 May. 2025.
Previous versions and publish date:
0.9.1 (2014-01-27 21:00)
Other packages that cited dualScale R package
View dualScale citation profile
Other R packages that dualScale depends, imports, suggests or enhances
Complete documentation for dualScale
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