Prerequisites

This book assumes high school arithmetic and algebra. Elementary concepts of probability theory are assumed; the sum and the product rules, and the fact that the probabilities of all possible events must sum to 1, are the extent of the knowledge assumed. We also expect that the reader already knows basic constructs in the programming language R (R Core Team 2019), such as writing for-loops. For newcomers to R, we will eventually provide a quick introduction in the appendix that covers all the constructs used in the book (this has not yet been done). For those lacking background in R, there are many good online resources on R that they can consult as needed. Examples are: R for data science, and Efficient R programming. We also assume that the reader has done some data analysis previously, either in linguistics or psychology. This should not be the first statistics-related book they read. The reader should have encountered concepts like parameters and parameter estimation.

References

R Core Team. 2019. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.