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discoveR

3.1.7Package record

Exploratory Data Analysis System

0packages depend
4.5Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 3.8 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-05-02
Show 2 earlier changesHide 2 earlier changes
  • ERROR11 OK, 1 ERROR2026-04-25
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 3.1.7
READMENoVignettesNoNEWSNoCitation fileNoWebsiteYes
Help pages
40 (3 internal)includes a package overview page
Examples that run
94%31 run in a plain check (1 of them under a condition) · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
92%
Documented parameters
100%
Return-value docs
97%
Help pages citing references
0%

Downloads

4.5K
CRAN downloads in the past year
Rank #8,328 · ~12/day · ~376/mo
Daily download trend is not available in this view yet.
40930 days
1.1K90 days
4.5K1 year
Compare downloads with other packages →
Also on72 r2u6 autocran

Repository

3Stars
1Forks
0Open issues
1Open PRs
0Releases
86Commits
4Commit identities
86 commits · Last activity 2023-02-28 · The default branch showed an older version (3.1.5) than CRAN on 2026-10-21
Responsiveness
not measured

Stars over time

2021-05-12 · 32026-07-07 · 3
PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/promidat/discover on 2026-10-21.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
19 external dependencies (excludes base and recommended)

Installing discoveR adds 169 packages (80 with compiled code, 135 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 4.4
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer · added in 2.1.6
Author · added in 2.1.6

Maintainer since 1.0.1 (2018)

Listed in earlier versions (3)
Show 3 peopleHide 3 people
no longer listed · 1.0.1 to 1.2.9
no longer listed · 1.0.1 to 1.2.9
no longer listed · 1.0.1 to 1.2.9
Releases (12)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 3.1.7Latest
    record
    2025-02-12 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 3.1.2
    record
    2023-01-20 · diff ↗ ·
    removed 8 exports
    datos.disyuntivos, dfnormal, e_cor, e_histboxplot, e_histnormal, e_qq, var.categoricas, var.numericas
    added 15 exports
    e_afcbi, e_afcbi_3D, e_afccol, e_afccol_3D, e_afcmbi, e_afcmbi_3D, e_afcmcat, e_afcmcat_3D, e_afcmind, e_afcmind_3D, e_afcmvar, e_afcmvar_3D, e_afcrow, e_afcrow_3D, e_balloon
  • R
    R 4.2.0 released · 2022-04-22
  • 2.2.6
    record
    2021-10-11 · diff ↗ ·
    added 1 export
    e_cor
  • R
    R 4.1.0 released · 2021-05-18
  • 2.2.2
    record
    2021-03-12 · diff ↗ ·
    removed 18 exports
    hc_cat, hc_horiz, hc_inercia, hc_jambu, hc_mapa, hc_radar, hc_silhouette, hc_vert, hchistboxplot, hchistnormal, hcpcabi, hcpcaind, hcpcavar, hcqq, plotly_mapa, plotly_pcabi, plotly_pcaind, plotly_pcavar
    added 18 exports
    e_cat, e_histboxplot, e_histnormal, e_horiz, e_inercia, e_jambu, e_mapa, e_mapa_3D, e_pcabi, e_pcabi_3D, e_pcaind, e_pcaind_3D, e_pcavar, e_pcavar_3D, e_qq, e_radar, e_silhouette, e_vert
  • 2.1.7
    record
    2021-01-27 · diff ↗
  • 2.1.6
    record
    2021-01-22 · diff ↗ ·
    removed 1 export
    init_discover
    added 28 exports
    BP, WP, calc.centros, datos.disyuntivos, dfnormal, gg_dendrograma, hc_cat, hc_horiz, hc_inercia, hc_jambu, hc_mapa, hc_radar, hc_silhouette, hc_vert, hchistboxplot, hchistnormal, hcpcabi, hcpcaind, hcpcavar, hcqq, inercia.total, plotly_mapa, plotly_pcabi, plotly_pcaind, plotly_pcavar, run_app, var.categoricas, var.numericas
  • 1.2.9
    record
    2020-08-03 · diff ↗
  • 1.2.8
    record
    2020-07-11 · diff ↗
  • 1.2.7
    record
    2020-06-26 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
Show 5 earlier eventsHide 5 earlier events
  • 1.2.4
    record
    2020-01-13 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 1.1.0
    record
    2019-03-03 · diff ↗
  • 1.0.1
    record
    2018-12-23
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-12-23
Total releases
12 / 8 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.4
Download size
179 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("discoveR")
Rodriguez, O., & Jiménez, D. (2025). discoveR: Exploratory Data Analysis System (Version 3.1.7) [Computer software]. https://doi.org/10.32614/CRAN.package.discoveR

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for discoveR version 3.1.7 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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