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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
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:

Please use the canonical form https://CRAN.R-project.org/package=metaDigitise to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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