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, and all integrate seamlessly into a 'tidyverse'-workflow.
| R in Action, Third Edition: Data analysis and graphics with R and Tidyverse (2022) by Kabacoff, Robert I. | |
| Data Science with Java: Practical Methods for Scientists and Engineers (2017) by Michael R. Brzustowicz, PhD | |