metaDigitise: Extract and Summarise Data from Published Figures

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.

Version: 1.0.1
Depends: R (≥ 3.4)
Imports: magick, stats, graphics, utils, purrr
Suggests: mockery, testthat, knitr, rmarkdown
Published: 2020-03-13
DOI: 10.32614/CRAN.package.metaDigitise
Author: Joel Pick [aut], Shinichi Nakagawa [aut], Daniel Noble [aut, cre]
Maintainer: Daniel Noble <daniel.wa.noble at gmail.com>
BugReports: https://github.com/daniel1noble/metaDigitise/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: metaDigitise citation info
Materials: README NEWS
In views: MetaAnalysis
CRAN checks: metaDigitise results

Documentation:

Reference manual: metaDigitise.pdf
Vignettes: metaDigitise

Downloads:

Package source: metaDigitise_1.0.1.tar.gz
Windows binaries: r-devel: metaDigitise_1.0.1.zip, r-release: metaDigitise_1.0.1.zip, r-oldrel: metaDigitise_1.0.1.zip
macOS binaries: r-release (arm64): metaDigitise_1.0.1.tgz, r-oldrel (arm64): metaDigitise_1.0.1.tgz, r-release (x86_64): metaDigitise_1.0.1.tgz, r-oldrel (x86_64): metaDigitise_1.0.1.tgz
Old sources: metaDigitise archive

Linking:

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