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: | 1.2.9 |
| Depends: | R (≥ 3.5) |
| Imports: | shiny, shinydashboard, shinydashboardPlus, shinyAce, shinyjs, colourpicker, ggplot2, DT, factoextra, rstudioapi, rmarkdown, stringi, zip |
| Published: | 2020-08-03 |
| 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 |
| Reference manual: | discoveR.pdf |
| Package source: | discoveR_1.2.9.tar.gz |
| Windows binaries: | r-devel: discoveR_1.2.9.zip, r-release: discoveR_1.2.9.zip, r-oldrel: discoveR_1.2.9.zip |
| macOS binaries: | r-release: discoveR_1.2.9.tgz, r-oldrel: discoveR_1.2.9.tgz |
| Old sources: | discoveR archive |
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