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:	0.3.0
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, plotly, testthat, tidyr, xpectr (≥ 0.4.0)
Published:	2021-09-26
Author:	Ludvig Renbo Olsen [aut, cre]
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_0.3.0.tar.gz
Windows binaries:	r-devel: rearrr_0.3.0.zip, r-release: rearrr_0.3.0.zip, r-oldrel: rearrr_0.3.0.zip
macOS binaries:	r-release (arm64): rearrr_0.3.0.tgz, r-oldrel (arm64): rearrr_0.3.0.tgz, r-release (x86_64): rearrr_0.3.0.tgz, r-oldrel (x86_64): rearrr_0.3.0.tgz
Old sources:	rearrr archive

Reverse dependencies:

Reverse imports:

cvms, groupdata2

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rearrr to link to this page.