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: 0.1.0
Suggests: covr, testthat (≥ 3.0.0)
Published: 2024-07-09
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

Downloads:

Package source: rank_0.1.0.tar.gz
Windows binaries: r-devel: rank_0.1.0.zip, r-release: rank_0.1.0.zip, r-oldrel: rank_0.1.0.zip
macOS binaries: r-release (arm64): rank_0.1.0.tgz, r-oldrel (arm64): rank_0.1.0.tgz, r-release (x86_64): rank_0.1.0.tgz, r-oldrel (x86_64): rank_0.1.0.tgz

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