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 |
DOI: | 10.32614/CRAN.package.GenderInfer |
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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