Other packages > Find by keyword >

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]
All associated links for this package
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 07 Mar. 2026.
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

portalr  
Create Useful Summaries of the Portal Data
Download and generate summaries for the rodent, plant, ant, and weather data from the Portal Projec ...
Download / Learn more Package Citations See dependency  
testDriveR  
Teaching Data for Statistics and Data Science
Provides data sets for teaching statistics and data science courses. It includes a sample of data f ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
SAMtool  
Stock Assessment Methods Toolkit
Simulation tools for closed-loop simulation are provided for the 'MSEtool' operating model to inform ...
Download / Learn more Package Citations See dependency  
lmSubsets  
Exact Variable-Subset Selection in Linear Regression
Exact and approximation algorithms for variable-subset selection in ordinary linear regression mode ...
Download / Learn more Package Citations See dependency  
ReviewR  
A Light-Weight, Portable Tool for Reviewing Individual Patient Records
A portable Shiny tool to explore patient-level electronic health record data and perform chart revi ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,376

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA