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: 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. 3) Convenient functions to perform frequently used statistical tests, or to calculate various commonly used statistical coefficients.

Version: 1.8
Depends: R (≥ 3.2), stats, utils
Imports: coin, dplyr, haven, lme4 (≥ 1.1-10), MASS, Matrix, nlme, stringdist (≥ 0.9.2), tidyr
Suggests: AER, arm, foreign, Hmisc, pwr
Published: 2016-05-19
Author: Daniel Lüdecke
Maintainer: Daniel Lüdecke <d.luedecke at uke.de>
BugReports: NA
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_1.8.tar.gz
Windows binaries: r-devel: sjmisc_1.8.zip, r-release: sjmisc_1.8.zip, r-oldrel: sjmisc_1.8.zip
OS X Mavericks binaries: r-release: sjmisc_1.8.tgz, r-oldrel: sjmisc_1.8.tgz
Old sources: sjmisc archive

Reverse dependencies:

Reverse imports: miceadds, sjPlot, sjstats, tadaatoolbox