When writing code in general, and when implementing modern
statistical approaches specifically, you’ll find yourself doing the same
thing over and over and over and
over. In these cases, abstracting what you’re
doing into a function and then using that function across a lot of
iterations can simplify your code and make analysis much easier. Here
we’ll cover functions in R, iteration using loops and map,
list columns, and simulations.
This topic is made up of the following components:
The code that I produced working examples in lecture is here.