rank: Customisable Ranking of Numerical and Categorical Data
Provides a flexible alternative to the built-in rank() function called smartrank(). Optionally rank categorical variables by frequency (instead of in alphabetical order), and control whether ranking is based on descending/ascending order. smartrank() is suitable for both numerical and categorical data.
| Version: | 0.2.0 |
| Suggests: | covr,dplyr,knitr,rmarkdown,testthat (≥ 3.0.0) |
| Published: | 2025-12-01 |
| DOI: | 10.32614/CRAN.package.rank |
| Author: | Sam El-Kamand [aut, cre, cph] |
| Maintainer: | Sam El-Kamand <sam.elkamand at gmail.com> |
| BugReports: | https://github.com/selkamand/rank/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/selkamand/rank,https://selkamand.github.io/rank/ |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | rank results |
Documentation:
| Reference manual: | rank.html ,rank.pdf |
| Vignettes: | Using smartrank (source,R code) |
Downloads:
| Package source: | rank_0.2.0.tar.gz |
| Windows binaries: | r-devel:rank_0.2.0.zip, r-release:rank_0.2.0.zip, r-oldrel:rank_0.2.0.zip |
| macOS binaries: | r-release (arm64):rank_0.2.0.tgz, r-oldrel (arm64):rank_0.2.0.tgz, r-release (x86_64):rank_0.2.0.tgz, r-oldrel (x86_64):rank_0.2.0.tgz |
| Old sources: | rank archive |
Reverse dependencies:
| Reverse imports: | gg1d,ggEDA |
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=rankto link to this page.