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:
Downloads:
Reverse dependencies:
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