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 |
| CRAN checks: | metaDigitise results |
| Reference manual: | metaDigitise.pdf |
| Vignettes: |
metaDigitise |
| 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: metaDigitise_1.0.1.tgz, r-oldrel: metaDigitise_1.0.1.tgz |
| Old sources: | metaDigitise archive |
Please use the canonical form https://CRAN.R-project.org/package=metaDigitise to link to this page.