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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 [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 |
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 imports: | broom.helpers, bulkreadr, cesR, codebook, crosswalkr, datadictionary, dbGaPCheckup, ech, 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 |
Please use the canonical form https://CRAN.R-project.org/package=labelled to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.