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: | 2.2.2 |
Depends: | R (≥ 4.0) |
Imports: | DT, rlang, stats, golem, shiny, utils, scales, config, plotly, cluster, ggplot2, shinyjs, graphics, shinyAce, ggdendro, echarts4r, htmltools, htmlwidgets, colourpicker, shinydashboard, shinycustomloader, shinydashboardPlus (≥ 2.0.0) |
Published: | 2021-03-12 |
Author: | Oldemar Rodriguez [aut, cre], Diego Jiménez [ctb, prg] |
Maintainer: | Oldemar Rodriguez <oldemar.rodriguez at ucr.ac.cr> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://www.promidat.com |
NeedsCompilation: | no |
CRAN checks: | discoveR results |
Reference manual: | discoveR.pdf |
Package source: | discoveR_2.2.2.tar.gz |
Windows binaries: | r-devel: discoveR_2.2.2.zip, r-release: discoveR_2.2.2.zip, r-oldrel: discoveR_2.2.2.zip |
macOS binaries: | r-release (arm64): discoveR_2.2.2.tgz, r-release (x86_64): discoveR_2.2.2.tgz, r-oldrel: discoveR_2.2.2.tgz |
Old sources: | discoveR archive |
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