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: 2.2.6
Depends: R (≥ 4.0)
Imports: DT, rlang, golem, shiny (≥ 1.7.1), config, plotly, cluster, ggplot2, shinyjs, shinyAce, ggdendro, echarts4r, htmltools, htmlwidgets, colourpicker, shinydashboard, shinycustomloader, shinydashboardPlus (≥ 2.0.0)
Published: 2021-10-11
Author: Oldemar Rodriguez [aut, cre], Diego Jiménez [ctb, prg]
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

Documentation:

Reference manual: discoveR.pdf

Downloads:

Package source: discoveR_2.2.6.tar.gz
Windows binaries: r-devel: discoveR_2.2.6.zip, r-release: discoveR_2.2.6.zip, r-oldrel: discoveR_2.2.2.zip
macOS binaries: r-release (arm64): discoveR_2.2.6.tgz, r-release (x86_64): discoveR_2.2.6.tgz, r-oldrel: discoveR_2.2.2.tgz
Old sources: discoveR archive

Linking:

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