Preamble

In this workshop, we will be learning a few techniques to achieve the following goals:

• Write fewer lines of code
• Scale analyses
• Understand how to put multiple concepts together
• Make code predictable and readable.

The topics we will cover here are:

1. Manipulating strings
2. Managing and manipulating relational data
3. Writing functions
4. Using iterations
5. Understanding data structures

Although the lessons are structured in a modular fashion, these techniques complement each other in order to help us achieve the goals above.

Pre-requisites

To fully engage with the material in this workshop, you will need:

• An introductory knowledge of R

  • Variable assignment
  • Mathematical and Boolean operators
  • Data modes
  • Importing data

• Some familiarity with the tidyverse dialect of R code as shown here:

  • mutate() and filter()
  • group_by() and summarise()
  • %>%

• Familiarity with lists:

  • Understand the difference between [ and [[ when subsetting a list
  • Understand what nestedness means in a list