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: |
2.2.6 |
| Depends: |
R (≥ 4.0) |
| Imports: |
DT, rlang, golem, shiny (≥ 1.7.1), config, plotly, cluster, ggplot2, shinyjs, shinyAce, ggdendro, echarts4r, htmltools, htmlwidgets, colourpicker, shinydashboard, shinycustomloader, shinydashboardPlus (≥ 2.0.0) |
| Published: |
2021-10-11 |
| 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 |
Documentation:
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