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

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


3.0.9 by Oldemar Rodriguez, 9 months ago


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

Authors: Oldemar Rodriguez [aut, cre] , Jose Emmanuel Chacon [cph] , Carlos Aguero [cph] , Jorge Arce [cph]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports vctrs, dplyr, forcats, scales, stringr, rlang, purrr, magrittr, tidyselect, tibble, stats, RJSONIO, XML, ggplot2, ggpolypath, reshape, glmnet, FactoMineR, princurve, nloptr, sqldf, randomcoloR, labelled, kknn, e1071, gbm, randomForest, rpart, neuralnet

Suggests testthat, knitr, rmarkdown

Imported by symbolicDA.

See at CRAN