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: 1.2.7
Depends: R (≥ 3.5)
Imports: shiny, shinydashboard, shinydashboardPlus, shinyAce, shinyjs, colourpicker, ggplot2, DT, factoextra, rstudioapi, rmarkdown, stringi, zip
Published: 2020-06-26
Author: Oldemar Rodriguez R. with contributions from Diego Jimenez A. and Andres Navarro D.
Maintainer: Oldemar Rodriguez <oldemar.rodriguez at ucr.ac.cr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.promidat.com
NeedsCompilation: no
CRAN checks: discoveR results

Downloads:

Reference manual: discoveR.pdf
Package source: discoveR_1.2.7.tar.gz
Windows binaries: r-devel: discoveR_1.2.7.zip, r-release: discoveR_1.2.7.zip, r-oldrel: discoveR_1.2.7.zip
macOS binaries: r-release: discoveR_1.2.4.tgz, r-oldrel: discoveR_1.2.7.tgz
Old sources: discoveR archive

Linking:

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