discoveR: Exploratory Data Analysis System (original) (raw)
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: | 3.1.2 |
|---|---|
| Depends: | R (≥ 4.0) |
| 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: | 2023-01-20 |
| DOI: | 10.32614/CRAN.package.discoveR |
| Author: | Oldemar Rodriguez [aut, cre], Diego Jiménez [aut] |
| 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 |
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