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dataSDA: Datasets and Basic Statistics for Symbolic Data Analysis

Provides benchmark datasets and foundational tools for Symbolic Data Analysis (SDA). The package includes functions for constructing symbolic data objects from classical data, converting among different interval-valued data formats, managing interval-valued, histogram-valued, modal-valued, and multi-valued data, and performing basic descriptive statistics. It is designed to support teaching, methodological research, and the development of SDA techniques.

Version: 0.2.6
Depends: R (≥ 4.0.0)
Imports: magrittr, tidyr, dplyr, RSDA, HistDAWass, methods
Suggests: testthat (≥ 2.1.0), knitr, rmarkdown, ggInterval, ggplot2, MAINT.Data, e1071, symbolicDA
Published: 2026-06-12
DOI: 10.32614/CRAN.package.dataSDA
Author: Po-Wei Chen [aut], Chun-houh Chen [aut], Han-Ming Wu [cre]
Maintainer: Han-Ming Wu <wuhm at g.nccu.edu.tw>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: dataSDA results

Documentation:

Reference manual: dataSDA.html , dataSDA.pdf
Vignettes: Introduction to dataSDA (source, R code)

Downloads:

Package source: dataSDA_0.2.6.tar.gz
Windows binaries: r-devel: dataSDA_0.2.6.zip, r-release: dataSDA_0.2.6.zip, r-oldrel: dataSDA_0.2.6.zip
macOS binaries: r-release (arm64): dataSDA_0.2.6.tgz, r-oldrel (arm64): dataSDA_0.2.6.tgz, r-release (x86_64): dataSDA_0.2.6.tgz, r-oldrel (x86_64): dataSDA_0.2.6.tgz
Old sources: dataSDA archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dataSDA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.