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: 0.0.3
Depends: R (≥ 3.3.2)
Imports: dplyr, rlang, tibble
Suggests: gapminder, tidyr, testthat, covr
Published: 2017-09-07
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
Materials: README NEWS
CRAN checks: unjoin results

Downloads:

Reference manual: unjoin.pdf
Package source: unjoin_0.0.3.tar.gz
Windows binaries: r-prerel: unjoin_0.0.3.zip, r-release: unjoin_0.0.3.zip, r-oldrel: unjoin_0.0.3.zip
OS X binaries: r-prerel: unjoin_0.0.3.tgz, r-release: unjoin_0.0.3.tgz

Linking:

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