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: |
2.0.0 |
| Depends: |
R (≥ 3.2), stats, utils |
| Imports: |
coin, broom (≥ 0.4.1), dplyr (≥ 0.5.0), haven (≥ 1.0.0), purrr, stringdist (≥ 0.9.4), tibble (≥ 1.2.0), tidyr (≥
0.6.0) |
| Suggests: |
mice, sjstats (≥ 0.4.0) |
| Published: |
2016-09-25 |
| 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:
Reverse dependencies:
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