sjmisc: Data Transformation and Labelled Data Utility Functions

Collection of miscellaneous utility functions (especially intended for people coming from other statistical software packages like 'SPSS', and/ or who are new to R), supporting following common tasks when working with data : 1) 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 and set label attributes, to convert labelled vectors into factors (and vice versa), or to deal with multiple declared missing values etc. 2) Data transformation tasks like recoding, dichotomizing or grouping variables, setting and replacing missing values. The data transformation functions also support labelled data.

Version: 2.1.0
Depends: R (≥ 3.2), stats, utils
Imports: broom (≥ 0.4.1), dplyr (≥ 0.5.0), haven (≥ 1.0.0), purrr, stringdist (≥ 0.9.4), stringr (≥ 1.1.0), tibble (≥ 1.2.0), tidyr (≥ 0.6.0)
Suggests: mice, sjstats (≥ 0.6.0)
Published: 2016-11-13
Author: Daniel Lüdecke
Maintainer: Daniel Lüdecke <d.luedecke at uke.de>
BugReports: https://github.com/sjPlot/sjmisc/issues
License: GPL-3
URL: https://github.com/sjPlot/sjmisc
NeedsCompilation: no
Citation: sjmisc citation info
Materials: README NEWS
CRAN checks: sjmisc results

Downloads:

Reference manual: sjmisc.pdf
Package source: sjmisc_2.1.0.tar.gz
Windows binaries: r-devel: sjmisc_2.1.0.zip, r-release: sjmisc_2.1.0.zip, r-oldrel: sjmisc_2.1.0.zip
OS X Mavericks binaries: r-release: sjmisc_2.1.0.tgz, r-oldrel: sjmisc_2.1.0.tgz
Old sources: sjmisc archive

Reverse dependencies:

Reverse imports: miceadds, sjPlot, sjstats, tadaatoolbox

Linking:

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