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: 2.0.3
Depends: R (≥ 3.4)
Imports: RJSONIO, glmnet, abind, scatterplot3d, graphics, stats, utils, FactoMineR (≥ 1.36), XML, scales, ggplot2, princurve, sqldf, dplyr (≥ 0.7.1), tidyr, stringr, lazyeval, nloptr (≥ 1.0.4) , xtable, pander, rlang (≥ 0.1.1), RColorBrewer
Suggests: testthat
Published: 2018-02-14
Author: Oldemar Rodriguez R. with contributions from Carlos Aguero, Olger Calderon, Roberto Zuniga and Jorge Arce
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
Package source: RSDA_2.0.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: RSDA_2.0.3.tgz
OS X Mavericks binaries: r-oldrel: not available
Old sources: RSDA archive


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