Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on using the R statistical software. The book discusses how to get started in R, as well as gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs, and regression. Bayesian statistics are covered at the end of the book.