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: 1.1.0
Depends: R (≥ 3.5)
Imports: shiny, shinydashboard, shinydashboardPlus, shinyAce, shinyjs, colourpicker, ggplot2, DT, factoextra, rstudioapi, rmarkdown, stringi, zip
Published: 2019-03-03
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_1.1.0.tar.gz
Windows binaries: r-devel: discoveR_1.1.0.zip, r-release: discoveR_1.1.0.zip, r-oldrel: not available
OS X binaries: r-release: discoveR_1.1.0.tgz, r-oldrel: not available
Old sources: discoveR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=discoveR to link to this page.