sjmisc: Data and Variable Transformation Functions

Collection of miscellaneous utility functions, supporting data transformation tasks like recoding, dichotomizing or grouping variables, setting and replacing missing values. The data transformation functions also support labelled data, and all integrate seamlessly into a 'tidyverse'-workflow.

Version: 2.8.9
Depends: R (≥ 3.4)
Imports: dplyr, insight, magrittr, methods, purrr, rlang, sjlabelled (≥ 1.1.1), stats, tidyselect, utils
Suggests: ggplot2, graphics, haven (≥ 2.0.0), mice, nnet, sjPlot, sjstats, knitr, rmarkdown, stringdist, testthat, tidyr
Published: 2021-12-03
Author: Daniel Lüdecke ORCID iD [aut, cre], Iago Giné-Vázquez [ctb], Alexander Bartel ORCID iD [ctb]
Maintainer: Daniel Lüdecke <d.luedecke at uke.de>
BugReports: https://github.com/strengejacke/sjmisc/issues
License: GPL-3
URL: https://strengejacke.github.io/sjmisc/
NeedsCompilation: no
Citation: sjmisc citation info
Materials: README NEWS
In views: MissingData
CRAN checks: sjmisc results

Documentation:

Reference manual: sjmisc.pdf
Vignettes: The Design Philosophy of Functions in sjmisc
Exploring Data Sets
Recoding Variables

Downloads:

Package source: sjmisc_2.8.9.tar.gz
Windows binaries: r-devel: sjmisc_2.8.9.zip, r-release: sjmisc_2.8.9.zip, r-oldrel: sjmisc_2.8.9.zip
macOS binaries: r-release (arm64): sjmisc_2.8.9.tgz, r-oldrel (arm64): sjmisc_2.8.9.tgz, r-release (x86_64): sjmisc_2.8.9.tgz
Old sources: sjmisc archive

Reverse dependencies:

Reverse imports: amapGeocode, BgeeCall, ggiraphExtra, iemisc, lacrmr, moonBook, pubh, regtomean, rFUSION, sjPlot, sjstats, SVMDO
Reverse suggests: mlbplotR, MultiATSM, rties, sjlabelled

Linking:

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