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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 ORCID iD [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.

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.