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rearrr: Rearranging Data

Arrange data by a set of methods. Use rearrangers to reorder data points and mutators to change their values. From basic utilities, to centering the greatest value, to swirling in 3-dimensional space, 'rearrr' enables creativity when plotting and experimenting with data.

Version: 0.3.4
Depends: R (≥ 3.5)
Imports: checkmate (≥ 2.0.0), dplyr (≥ 0.8.5), lifecycle, plyr, purrr (≥ 0.3.4), rlang (≥ 0.4.7), R6, stats, tibble, utils
Suggests: covr, ggplot2, knitr, testthat, tidyr, xpectr (≥ 0.4.3)
Published: 2024-02-07
DOI: 10.32614/CRAN.package.rearrr
Author: Ludvig Renbo Olsen ORCID iD [aut, cre] (@ludvigolsen)
Maintainer: Ludvig Renbo Olsen <r-pkgs at ludvigolsen.dk>
BugReports: https://github.com/ludvigolsen/rearrr/issues
License: MIT + file LICENSE
URL: https://github.com/ludvigolsen/rearrr
NeedsCompilation: no
Materials: README NEWS
CRAN checks: rearrr results

Documentation:

Reference manual: rearrr.pdf

Downloads:

Package source: rearrr_0.3.4.tar.gz
Windows binaries: r-devel: rearrr_0.3.4.zip, r-release: rearrr_0.3.4.zip, r-oldrel: rearrr_0.3.4.zip
macOS binaries: r-release (arm64): rearrr_0.3.4.tgz, r-oldrel (arm64): rearrr_0.3.4.tgz, r-release (x86_64): rearrr_0.3.4.tgz, r-oldrel (x86_64): rearrr_0.3.4.tgz
Old sources: rearrr archive

Reverse dependencies:

Reverse imports: cvms, groupdata2

Linking:

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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.