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: 1.0.1
Depends: R (≥ 3.5)
Imports: shiny, shinyAce, FactoMineR, shinydashboard, shinydashboardPlus, shinyWidgets, colourpicker, shinyjs, knitr, DT, promises, ggplot2, rstudioapi, factoextra, reshape, corrplot, dendextend, scatterplot3d, stringr, future, rmarkdown, zip, ggdendro, stringi, rgdal, raster
Published: 2018-12-23
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_1.0.1.tar.gz
Windows binaries: r-devel: discoveR_1.0.1.zip, r-release: discoveR_1.0.1.zip, r-oldrel: not available
OS X binaries: r-release: discoveR_1.0.1.tgz, r-oldrel: not available

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