In the final part of our advanced data wrangling series we focus on programming and automation with R. When you find yourself copying-and-pasting chunks of code, or re-running chunks of code with different variables, it’s probably a good time to consider writing your own R function to help automate the process. For example, imagine generating summary statistics or plots for all 400 variables in a survey data set. In this workshop we’ll cover how to create your own R functions and how to “apply” or “map” them to a series of values or parameters. By the end you’ll have valuable instructions and experience for tackling your own automation and programming issues. Prerequisites: basic experience using R, or successful completion of our Intro to R workshop. Successful completion of Parts 1 and 2 would also be helpful.

Instructor: Clay Ford