unjoin: Separate a Data Frame by Normalization

Separate a data frame in two based on key columns. The function unjoin() provides an inside-out version of a nested data frame. This is used to identify duplication and normalize it (in the database sense) by linking two tables with the redundancy removed. This is a basic requirement for detecting topology within spatial structures that has motivated the need for this package as a building block for workflows within more applied projects.

Version:	0.1.0
Depends:	R (≥ 3.3.2)
Imports:	dplyr (≥ 0.5.0), rlang, tibble
Suggests:	gapminder, tidyr, testthat, covr, spelling
Published:	2020-05-13
DOI:	10.32614/CRAN.package.unjoin
Author:	Michael D. Sumner [aut, cre], Simon Wotherspoon [ctb], Hadley Wickham [ctb] (named the concept, provided excellent guidance via tidyr source code)
Maintainer:	Michael D. Sumner <mdsumner at gmail.com>
BugReports:	https://github.com/hypertidy/unjoin/issues
License:	GPL-3
URL:	https://github.com/hypertidy/unjoin
NeedsCompilation:	no
Language:	en-US
Materials:	README, NEWS
CRAN checks:	unjoin results

Documentation:

Reference manual:

unjoin.html , unjoin.pdf

Downloads:

Package source:	unjoin_0.1.0.tar.gz
Windows binaries:	r-devel: unjoin_0.1.0.zip, r-release: unjoin_0.1.0.zip, r-oldrel: unjoin_0.1.0.zip
macOS binaries:	r-release (arm64): unjoin_0.1.0.tgz, r-oldrel (arm64): unjoin_0.1.0.tgz, r-release (x86_64): unjoin_0.1.0.tgz, r-oldrel (x86_64): unjoin_0.1.0.tgz
Old sources:	unjoin archive

Reverse dependencies:

Reverse imports:

silicate

Linking:

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