Assuming no previous knowledge of statistics or R, the book includes:

• A comprehensive introduction to the R language.
• An integrated approach to importing and preparing data for analysis, exploring and analyzing the data, and presenting results.
• Over 300 examples, including detailed explanations of the R scripts used throughout.
• Over 100 moderately large data sets from disciplines ranging from Biology, Ecology and Environmental Science to Medicine, Law, Military and Social Sciences.
• A parallel discussion of analyses with the normal density, proportions (binomial), counts (Poisson) and bootstrap methods.
• Two extensive indexes that include references to every R function (and its arguments and packages used in the book) and to every introduced concept.

An accompanying Wiki website, http://turtle.gis.umn.edu includes all the scripts and data used in the book. The website also features a solutions manual, providing answers to all of the exercises presented in the book. Visitors are invited to download/upload data and scripts and share comments, suggestions and questions with other visitors. Students, researchers and practitioners will find this to be both a valuable learning resource in statistics and R and an excellent reference book.  less