wrangle: A Systematic Data Wrangling Idiom

Supports systematic scrutiny, modification, and integration of data. The function status() counts rows that have missing values in grouping columns (returned by na() ), have non-unique combinations of grouping columns (returned by dup() ), and that are not locally sorted (returned by unsorted() ). Functions enumerate() and itemize() give sorted unique combinations of columns, with or without occurrence counts, respectively. Function ignore() drops columns in x that are present in y, and informative() drops columns in x that are entirely NA; constant() returns values that are constant, given a key. Data that have defined unique combinations of grouping values behave more predictably during merge operations.

Version: 0.6.4
Imports: dplyr (≥ 1.0.2), tidyr, magrittr, rlang
Published: 2024-03-29
DOI: 10.32614/CRAN.package.wrangle
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat at gmail.com>
BugReports: https://github.com/bergsmat/wrangle/issues
License: GPL-3
NeedsCompilation: no
In views: MissingData
CRAN checks: wrangle results


Reference manual: wrangle.pdf


Package source: wrangle_0.6.4.tar.gz
Windows binaries: r-devel: wrangle_0.6.4.zip, r-release: wrangle_0.6.4.zip, r-oldrel: wrangle_0.6.4.zip
macOS binaries: r-release (arm64): wrangle_0.6.4.tgz, r-oldrel (arm64): wrangle_0.6.4.tgz, r-release (x86_64): wrangle_0.6.4.tgz, r-oldrel (x86_64): wrangle_0.6.4.tgz
Old sources: wrangle archive

Reverse dependencies:

Reverse suggests: nonmemica


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