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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:2.16.0
Depends:R (≥ 3.2)
Imports:haven (≥ 2.4.1),cli,dplyr (≥ 1.1.0),lifecycle,rlang (≥1.1.0),vctrs,stringr,tidyr (≥ 1.3.0),tidyselect
Suggests:gt,knitr,rmarkdown,purrr,questionr,snakecase,spelling,survey,testthat (≥ 3.2.0)
Enhances:memisc
Published:2025-10-22
DOI:10.32614/CRAN.package.labelled
Author:Joseph LarmarangeORCID 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.html ,labelled.pdf
Vignettes:Introduction to labelled (source,R code)
Generate a data dictionary and search for variables with 'look_for()' (source,R code)
About missing values: regular NAs, tagged NAs and user NAs (source,R code)
Variables labels and packed columns (source,R code)

Downloads:

Package source: labelled_2.16.0.tar.gz
Windows binaries: r-devel:labelled_2.16.0.zip, r-release:labelled_2.16.0.zip, r-oldrel:labelled_2.16.0.zip
macOS binaries: r-release (arm64):labelled_2.16.0.tgz, r-oldrel (arm64):labelled_2.16.0.tgz, r-release (x86_64):labelled_2.16.0.tgz, r-oldrel (x86_64):labelled_2.16.0.tgz
Old sources: labelled archive

Reverse dependencies:

Reverse imports:broom.helpers,bulkreadr,corx,crosswalkr,datadictionary,dataset,dataviewR,dbGaPCheckup,filibustr,ggblanket,ggformula,growthcleanr,guideR,jsmodule,jstable,opalr,questionr,RastaRocket,readabs,REDCapDM,redquack,retroharmonize,robotoolbox,Rrepest,rUM,SEERaBomb,serocalculator,spicy,stevemisc,summarySCI,surveyPrev,tableone
Reverse suggests:crane,dm,forestmodel,GGally,ggeasy,ggstats,modelsummary,nettskjemar,plotor,readstata13,REDCapTidieR,saros,saros.base,speedycode,tabxplor,testdat,xportr,zmisc

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=labelledto link to this page.


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