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.

Maintainer: Daniel Lüdecke <d.luedecke at uke.de>

Author(s): Daniel Lüdecke <d.luedecke at uke.de>

Install package and any missing dependencies by running this line in your R console:

install.packages("sjmisc")

Depends R (>= 3.2), stats, utils
Imports broom(>=0.4.2), dplyr(>=0.7.1), haven(>=1.0.0), magrittr, psych, purrr, rlang, sjlabelled(>=1.0.1), stringdist(>=0.9.4), stringr(>=1.2.0), tibble(>=1.3.3), tidyr(>=0.7.0)
Suggests ggplot2, graphics, Hmisc, mice, sjPlot(>=2.3.2), sjstats(>=0.10.3), knitr, rmarkdown
Enhances
Linking to
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depends
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imports
esc, ggeffects, sjPlot, sjstats, tadaatoolbox
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suggests
furniture, sjlabelled
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enhances
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linking to

Package sjmisc
Materials
URL https://github.com/strengejacke/sjmisc
Task Views
Version 2.6.1
Published 2017-08-20
License GPL-3
BugReports https://github.com/strengejacke/sjmisc/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks sjmisc check results
Package source sjmisc_2.6.1.tar.gz