Getting started simulating data in R: some helpful functions and how to use them

Knowing how to simulate data in R has been incredibly useful to me in my day-to-day work. Simulating data is useful not only for exploring the long-run behavior of a statistic but also allows you to make small datasets for working out hard data manipulation tasks or for testing your intuition about a mathematical relationship or statistical model. But how does a person get started with simulations? In this talk I will go over some of the functions R has available to help with simulating data. I'll discuss functions for random number generation, replicating elements of a vector, and repeated data generation. We'll go in depth on how to use these functions and then practice creating datasets of different shapes and sizes.