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


Reference manual: unjoin.pdf


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


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