Package: dualScale 1.0.0

Roberto de la Banda

dualScale: Dual Scaling Analysis of Data

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.

Authors:Jose G. Clavel [aut], Shizuiko Nishisato [aut], Roberto de la Banda [aut, cre], Antonio Pita [ctb]

dualScale_1.0.0.tar.gz
dualScale_1.0.0.tar.gz(r-4.5-noble)dualScale_1.0.0.tar.gz(r-4.4-noble)
dualScale_1.0.0.tgz(r-4.4-emscripten)dualScale_1.0.0.tgz(r-4.3-emscripten)
dualScale.pdf |dualScale.html
dualScale/json (API)
NEWS

# Install 'dualScale' in R:
install.packages('dualScale', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 1 scripts 180 downloads 7 exports 35 dependencies

Last updated 1 years agofrom:d5fae5d389. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 03 2024
R-4.5-linuxOKDec 03 2024

Exports:ds_cfds_mcds_mc_checkds_mcfds_pcds_roplot_data

Dependencies:bitclicolorspaceebafansifarverffggplot2ggrepelgluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmatrixcalcmgcvmunsellnlmepillarpkgconfigpsychotoolsR6RColorBrewerRcpprlangscalestibbleutf8vctrsviridisLitewithr