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: | 3.1.7 |
| Depends: | R (≥ 4.4) |
| 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: | 2025-02-12 |
| DOI: | 10.32614/CRAN.package.discoveR |
| Author: | Oldemar Rodriguez [aut, cre], Diego Jiménez [aut] |
| Maintainer: | Oldemar Rodriguez <oldemar.rodriguez at ucr.ac.cr> |
| BugReports: | https://github.com/PROMiDAT/discoveR/issues |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://promidat.website/,https://github.com/PROMiDAT/discoveR |
| NeedsCompilation: | no |
| CRAN checks: | discoveR results |
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