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sjlabelled: Labelled Data Utility Functions

Collection of functions dealing with labelled data, like reading and writing data between R and other statistical software packages like 'SPSS', 'SAS' or 'Stata', and working with labelled data. This includes easy ways to get, set or change value and variable label attributes, to convert labelled vectors into factors or numeric (and vice versa), or to deal with multiple declared missing values.

Version: 1.2.0
Depends: R (≥ 3.4)
Imports: insight, datawizard, stats, tools, utils
Suggests: dplyr, haven (≥ 1.1.2), magrittr, sjmisc, sjPlot, knitr, rlang, rmarkdown, snakecase, testthat
Published: 2022-04-10
DOI: 10.32614/CRAN.package.sjlabelled
Author: Daniel Lüdecke ORCID iD [aut, cre], avid Ranzolin [ctb], Jonathan De Troye [ctb]
Maintainer: Daniel Lüdecke <d.luedecke at uke.de>
BugReports: https://github.com/strengejacke/sjlabelled/issues
License: GPL-3
URL: https://strengejacke.github.io/sjlabelled/
NeedsCompilation: no
Citation: sjlabelled citation info
Materials: README NEWS
In views: MissingData
CRAN checks: sjlabelled results

Documentation:

Reference manual: sjlabelled.pdf
Vignettes: Labelled Data and the sjlabelled-Package
Working with Labelled Data
Using quasiquotation to add variable and value labels

Downloads:

Package source: sjlabelled_1.2.0.tar.gz
Windows binaries: r-devel: sjlabelled_1.2.0.zip, r-release: sjlabelled_1.2.0.zip, r-oldrel: sjlabelled_1.2.0.zip
macOS binaries: r-release (arm64): sjlabelled_1.2.0.tgz, r-oldrel (arm64): sjlabelled_1.2.0.tgz, r-release (x86_64): sjlabelled_1.2.0.tgz, r-oldrel (x86_64): sjlabelled_1.2.0.tgz
Old sources: sjlabelled archive

Reverse dependencies:

Reverse depends: cchsflow
Reverse imports: bulkreadr, ggiraphExtra, ipeadatar, msSPChelpR, pubh, qualtRics, recodeflow, regtomean, sendigR, sjmisc, sjPlot, surveyPrev, tidyCDISC, vtable, webr
Reverse suggests: ggeffects, lavaanExtra, miceadds, moonBook

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sjlabelled 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.