RSDA: R to Symbolic Data Analysis

Symbolic Data Analysis (SDA) was proposed by professor Edwin Diday in 1987, the main purpose of SDA is to substitute the set of rows (cases) in the data table for a concept (second order statistical unit). This package implements, to the symbolic case, certain techniques of automatic classification, as well as some linear models.

Version: 3.2.1
Depends: R (≥ 3.4)
Imports: vctrs (≥ 0.2.4), dplyr (≥ 0.8.5), forcats, scales, stringr, rlang (≥ 0.4.5), purrr, magrittr, tidyselect, tibble (≥ 3.0.0), stats, RJSONIO, XML, ggplot2, ggpolypath, reshape, glmnet, FactoMineR, princurve, nloptr, sqldf, randomcoloR, kknn, e1071, gbm, randomForest, rpart, neuralnet, umap, xtable, plotly, ggrepel
Suggests: testthat (≥ 2.1.0), knitr, rmarkdown
Published: 2023-11-10
DOI: 10.32614/CRAN.package.RSDA
Author: Oldemar Rodriguez [aut, cre], Jose Emmanuel Chacon [cph], Carlos Aguero [cph], Jorge Arce [cph]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: RSDA results


Reference manual: RSDA.pdf
Vignettes: Instroduction to RSDA packages


Package source: RSDA_3.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): RSDA_3.2.1.tgz, r-oldrel (arm64): RSDA_3.2.1.tgz, r-release (x86_64): RSDA_3.2.1.tgz, r-oldrel (x86_64): RSDA_3.2.1.tgz
Old sources: RSDA archive

Reverse dependencies:

Reverse depends: ggESDA
Reverse imports: symbolicDA
Reverse suggests: dataSDA


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