This week, Ellis Hughes and I go back to our {tidyverse} roots to do a series of episodes covering a number of different data engineering and data cleaning types of activities we commonly do.
This week, we show how to set up unique participant IDs using {tidyverse} and then we use integer division to produce groupings of observations by participant so that data can be aggregated for research purposes.
If you have a data engineering or data cleaning issue you are currently working through in {tidyverse} and want some help, feel free to comment on the YouTube channel and we can see about working on it for an upcoming episode.
To watch our screen cast, CLICK HERE.
To access our code, CLICK HERE.