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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 |
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 |
Please use the canonical form https://CRAN.R-project.org/package=GenderInfer 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.