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metaDigitise

1.0.2

Extract and Summarise Data from Published Figures

0packages depend
5.7Kdownloads / year
test coverage
12/13checks pass

Overview

About
Maintained by Daniel NobleFirst published 2018-07-293 releasesCRAN page ↗GitHub ↗

High-throughput, flexible and reproducible extraction of data from figures in primary research papers. metaDigitise() can extract data and / or automatically calculate summary statistics for users from box plots, bar plots (e.g., mean and errors), scatter plots and histograms.

Install

Health

CRAN checks
1NOTE12OK
Failing flavors
  • NOTE r-oldrel-macos-arm64
Slowest check: 2.1 min · r-oldrel-macos-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
5
Dependencies · direct
Check history
  • NOTE2026-03-10
    13 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 3,955 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
54%
Documented parameters
98%
Return-value docs
87%
References docs
0%

Downloads

5.7K
CRAN downloads in the past year
Rank #6,828 · ~16/day · ~473/mo
Daily download trend is not available in this view yet.
26530 days
1.3K90 days
5.7K1 year
Compare downloads with other packages →
Also on132 r2u8 autocran45 c2d4u

Repository

Repository
86Stars
9Forks
17Open issues
0Open PRs
7Releases
468Commits
2Contributors
468 commits · Last activity 2025-11-19 · 0% stars, 30d

Stars over time

2025-07-30 · 842026-07-07 · 86

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/daniel1noble/metadigitise on 2026-08-03.

Continuous integration (1)
GitHub Actions
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.4
Imports (5)
magickstatsgraphicsutilspurrr
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Author
Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.2Latest
    2025-11-16 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0.1
    2020-03-13 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 1.0.0
    2018-07-29
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-07-29
Total releases
3 / 8 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.4
Download size
373 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("metaDigitise")
Noble, D., Nakagawa, S., & Pick, J. (2025). metaDigitise: Extract and Summarise Data from Published Figures (Version 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.metaDigitise

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 metaDigitise version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-08-07. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-07, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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