discoveR: Exploratory Data Analysis System

Performs an exploratory data analysis through a 'shiny' interface. It includes basic methods such as the mean, median, mode, normality test, among others. It also includes clustering techniques such as Principal Components Analysis, Hierarchical Clustering and the K-Means Method.

Version: 2.1.7
Depends: R (≥ 3.5)
Imports: DT, rlang, stats, golem, shiny, utils, scales, config, plotly, cluster, ggplot2, shinyjs, graphics, shinyAce, ggdendro, htmltools, highcharter, colourpicker, shinydashboard, shinycustomloader, shinydashboardPlus
Published: 2021-01-27
Author: Oldemar Rodriguez [aut, cre], Diego Jiménez [ctb]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez at ucr.ac.cr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.promidat.com
NeedsCompilation: no
CRAN checks: discoveR results

Downloads:

Reference manual: discoveR.pdf
Package source: discoveR_2.1.7.tar.gz
Windows binaries: r-devel: discoveR_2.1.7.zip, r-release: discoveR_2.1.7.zip, r-oldrel: discoveR_2.1.7.zip
macOS binaries: r-release: discoveR_2.1.7.tgz, r-oldrel: discoveR_2.1.7.tgz
Old sources: discoveR archive

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