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wrangle
View on CRAN: Click
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Download and install wrangle package within the R console
Install from CRAN:
install.packages("wrangle")
Install from Github:
library("remotes")
install_github("cran/wrangle")
Install by package version:
library("remotes")
install_version("wrangle", "0.6.4")
Attach the package and use:
library("wrangle")
Maintained by
Tim Bergsma
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-02-20
Latest Update: 2023-08-24
Description:
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.
How to cite:
Tim Bergsma (2017). wrangle: A Systematic Data Wrangling Idiom. R package version 0.6.4, https://cran.r-project.org/web/packages/wrangle
Previous versions and publish date:
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Functions, R codes and Examples using
the wrangle R package
Some associated functions: constant.data.frame . constant . detect . dup.data.frame . dup . dupGroups.data.frame . dupGroups . enumerate . ignore . informative.data.frame . informative . itemize . misplaced.data.frame . misplaced . na.data.frame . na . naGroups.data.frame . naGroups . safe_join.data.frame . safe_join . sort.grouped_df . static . status.data.frame . status . unsorted.data.frame . unsorted . weak.data.frame . weak .
Some associated R codes: constant.R . safejoin.R . wrangle.R . Full wrangle package functions and examples
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