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Implementation of functions, which combines binomial calculation and data visualisation, to analyse the differences in publishing authorship by gender described in Day et al. (2020) <doi:10.1039/C9SC04090K>. It should only be used when self-reported gender is unavailable.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | ggplot2, binom |
| Suggests: | dplyr, knitr, rmarkdown, testthat |
| Published: | 2021-09-29 |
| Author: | Rita Giordano [aut, cre], Aileen Day [aut], John Boyle [aut], Colin Batchelor [ctb], Royal Society of Chemistry [cph] |
| Maintainer: | Rita Giordano <giordanor at rsc.org> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | GenderInfer results |
| Reference manual: | GenderInfer.pdf |
| Vignettes: |
GenderInfer |
| Package source: | GenderInfer_0.1.0.tar.gz |
| Windows binaries: | r-devel: GenderInfer_0.1.0.zip, r-release: GenderInfer_0.1.0.zip, r-oldrel: GenderInfer_0.1.0.zip |
| macOS binaries: | r-release (arm64): GenderInfer_0.1.0.tgz, r-oldrel (arm64): GenderInfer_0.1.0.tgz, r-release (x86_64): GenderInfer_0.1.0.tgz, r-oldrel (x86_64): GenderInfer_0.1.0.tgz |
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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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