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: | 0.1.1 |
| Suggests: | covr, dplyr, knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2024-12-01 |
| 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 + file LICENSE |
| URL: | https://github.com/selkamand/rank, https://selkamand.github.io/rank/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | rank results |
Documentation:
| Reference manual: | rank.pdf |
| Vignettes: |
Using smartrank (source, R code) |
Downloads:
| Package source: | rank_0.1.1.tar.gz |
| Windows binaries: | r-devel: rank_0.1.1.zip, r-release: rank_0.1.1.zip, r-oldrel: rank_0.1.1.zip |
| macOS binaries: | r-release (arm64): rank_0.1.1.tgz, r-oldrel (arm64): rank_0.1.1.tgz, r-release (x86_64): rank_0.1.1.tgz, r-oldrel (x86_64): rank_0.1.1.tgz |
| Old sources: | rank archive |
Reverse dependencies:
| Reverse imports: | gg1d |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=rank to link to this page.