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: |
3.1.2 |
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 |
Documentation:
Downloads:
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