sjmisc - Data and Variable Transformation Functions
Collection of miscellaneous utility functions, supporting data transformation tasks like recoding, dichotomizing or grouping variables, setting and replacing missing values. The data transformation functions also support labelled data.
The functions of sjmisc are designed to work together seamlessly with other packes from the tidyverse, like dplyr. For instance, you can use the functions from sjmisc both within a pipe-worklflow to manipulate data frames, or to create new variables with mutate(). See vignette("design_philosophy", "sjmisc") for more details.
Installation
Latest development build
To install the latest development snapshot (see latest changes below), type following commands into the R console:
library(devtools)
devtools::install_github("strengejacke/sjmisc")Officiale, stable release
To install the latest stable release from CRAN, type following command into the R console:
install.packages("sjmisc")References, documentation and examples
Citation
In case you want / have to cite my package, please use citation('sjmisc') for citation information.