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.


Reference manual

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2.0.8 by Oldemar Rodriguez, a year ago


Browse source code at https://github.com/cran/RSDA

Authors: Oldemar Rodriguez R. with contributions from Carlos Aguero , Olger Calderon , Roberto Zuniga and Jorge Arce

Documentation:   PDF Manual  

GPL (>= 2) license

Imports RJSONIO, glmnet, abind, scatterplot3d, graphics, stats, utils, FactoMineR, XML, scales, ggplot2, princurve, sqldf, dplyr, tidyr, stringr, lazyeval, nloptr, xtable, pander, rlang, purrr, tidyselect, tibble, ggpolypath, reshape, randomcoloR

Suggests testthat

Imported by symbolicDA.

See at CRAN