labelled: Manipulating Labelled Data

Work with labelled data imported from 'SPSS' or 'Stata' with 'haven' or 'foreign'. This package provides useful functions to deal with "haven_labelled" and "haven_labelled_spss" classes introduced by 'haven' package.

Version: 2.13.0
Depends: R (≥ 3.0)
Imports: haven (≥ 2.4.1), dplyr (≥ 1.0.0), lifecycle, rlang, vctrs, stringr, tidyr, tidyselect
Suggests: testthat, knitr, rmarkdown, questionr, snakecase, utf8, covr, spelling
Enhances: memisc
Published: 2024-04-23
DOI: 10.32614/CRAN.package.labelled
Author: Joseph Larmarange ORCID iD [aut, cre], Daniel Ludecke [ctb], Hadley Wickham [ctb], Michal Bojanowski [ctb], François Briatte [ctb]
Maintainer: Joseph Larmarange <joseph at larmarange.net>
BugReports: https://github.com/larmarange/labelled/issues
License: GPL (≥ 3)
URL: https://larmarange.github.io/labelled/, https://github.com/larmarange/labelled
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: labelled results

Documentation:

Reference manual: labelled.pdf
Vignettes: Introduction to labelled
Generate a data dictionnary and search for variables with 'look_for()'
About missing values: regular NAs, tagged NAs and user NAs
Variables labels and packed columns

Downloads:

Package source: labelled_2.13.0.tar.gz
Windows binaries: r-devel: labelled_2.13.0.zip, r-release: labelled_2.13.0.zip, r-oldrel: labelled_2.13.0.zip
macOS binaries: r-release (arm64): labelled_2.13.0.tgz, r-oldrel (arm64): labelled_2.13.0.tgz, r-release (x86_64): labelled_2.13.0.tgz, r-oldrel (x86_64): labelled_2.13.0.tgz
Old sources: labelled archive

Reverse dependencies:

Reverse imports: broom.helpers, bulkreadr, cesR, codebook, crosswalkr, datadictionary, dbGaPCheckup, ech, EDCimport, ggblanket, ggformula, growthcleanr, jsmodule, jstable, opalr, pollster, questionr, readabs, REDCapDM, retroharmonize, robotoolbox, Rrepest, SEERaBomb, stevemisc, surveyPrev, tableone, tntpr
Reverse suggests: dm, forestmodel, GGally, ggeasy, ggstats, modelsummary, plotor, REDCapTidieR, saros, saros.base, speedycode, testdat, xportr, zmisc

Linking:

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