sjmisc : Data Transformation and Labelled Data Utility Functions

Package: sjmisc
Type: Package
Encoding: UTF-8
Title: Data Transformation and Labelled Data Utility Functions
Version: 1.8
Date: 2016-05-19
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>
Description: 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.
License: GPL-3
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
URL: https://github.com/sjPlot/sjmisc
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-19 09:55:21 UTC; Standardbenutzer
Repository: CRAN
Date/Publication: 2016-05-19 19:56:02