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 |
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