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:	3.1.7
Depends:	R (≥ 4.4)
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:	2025-02-12
DOI:	10.32614/CRAN.package.discoveR
Author:	Oldemar Rodriguez [aut, cre], Diego Jiménez [aut]
Maintainer:	Oldemar Rodriguez <oldemar.rodriguez at ucr.ac.cr>
BugReports:	https://github.com/PROMiDAT/discoveR/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://promidat.website/, https://github.com/PROMiDAT/discoveR
NeedsCompilation:	no
CRAN checks:	discoveR results

Documentation:

Reference manual:

discoveR.html , discoveR.pdf

Downloads:

Package source:	discoveR_3.1.7.tar.gz
Windows binaries:	r-devel: discoveR_3.1.7.zip, r-release: discoveR_3.1.7.zip, r-oldrel: discoveR_3.1.7.zip
macOS binaries:	r-release (arm64): discoveR_3.1.7.tgz, r-oldrel (arm64): discoveR_3.1.7.tgz, r-release (x86_64): discoveR_3.1.7.tgz, r-oldrel (x86_64): discoveR_3.1.7.tgz
Old sources:	discoveR archive

Linking:

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