Learning Statistics with RDan Navarro "Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and 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.
Great instructions, good sense of humour to smooth out the harder parts and amazingly readable! The accompanying LSR library for R is very handy as well (also after finishing the book).
Must read for data scientist and statisticians using R! (I read the newest version, 0.6 i believe, but that's not on Goodreads unfortunately).