sjmisc (2.4.0)

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Data Transformation and Labelled Data Utility Functions.

https://github.com/strengejacke/sjmisc
http://cran.r-project.org/web/packages/sjmisc

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, and all integrate seamlessly into a 'tidyverse'-workflow.

Maintainer: Daniel Luedecke
Author(s): Daniel Ldecke <d.luedecke@uke.de>

License: GPL-3

Uses: broom, dplyr, haven, magrittr, psych, purrr, stringdist, stringr, tibble, tidyr, Hmisc, mice, knitr, sjPlot, rmarkdown, sjstats

Released 20 days ago.


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