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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install.packages("RSDA")

3.2.5 by Oldemar Rodriguez, a year ago


https://oldemarrodriguez.com/


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, kknn, e1071, gbm, randomForest, rpart, neuralnet, umap, xtable, plotly, ggrepel

Suggests testthat, knitr, rmarkdown


Imported by dataSDA, symbolicDA.

Depended on by ggInterval.


See at CRAN