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: 3.1.2
Depends: R (≥ 4.0)
Imports: DT, rlang, golem, shiny (≥ 1.7.4), config, plotly, loadeR, cluster, ggplot2, shinyjs, shinyAce, ggdendro, echarts4r, htmltools, FactoMineR, htmlwidgets, colourpicker, shinydashboard, shinycustomloader, shinydashboardPlus (≥ 2.0.0)
Published: 2023-01-20
DOI: 10.32614/CRAN.package.discoveR
Author: Oldemar Rodriguez [aut, cre], Diego Jiménez [aut]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: discoveR results


Reference manual: discoveR.pdf


Package source: discoveR_3.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): discoveR_3.1.2.tgz, r-oldrel (arm64): discoveR_3.1.2.tgz, r-release (x86_64): discoveR_3.1.2.tgz, r-oldrel (x86_64): discoveR_3.1.2.tgz
Old sources: discoveR archive


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