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: | 2.1.6 |
| Depends: | R (≥ 3.5) |
| Imports: | DT, stats, golem, shiny, utils, scales, config, plotly, cluster, ggplot2, shinyjs, graphics, shinyAce, ggdendro, htmltools, highcharter, colourpicker, shinydashboard, shinycustomloader, shinydashboardPlus |
| Published: | 2021-01-22 |
| Author: | Oldemar Rodriguez [aut, cre], Diego Jiménez [ctb] |
| 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_2.1.6.tar.gz |
| Windows binaries: | r-devel: discoveR_1.2.9.zip, r-release: discoveR_2.1.6.zip, r-oldrel: discoveR_1.2.9.zip |
| macOS binaries: | r-release: discoveR_2.1.6.tgz, r-oldrel: discoveR_2.1.6.tgz |
| Old sources: | discoveR archive |
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