Retaining the same accessible format of the popular first edition, this book explains how to easily perform an analytical task in both SAS and R. Through the extensive indexing and cross-referencing, users can directly find and implement the material they need. This edition now covers RStudio, a powerful and easy-to-use interface for R. Along with extended examples of simulations, it also incorporates a number of additional topics, including APIs, reproducible analysis tools, database management systems, MCMC methods, and finite mixture models.

Data Input and Output. Data Management. Statistical and Mathematical Functions. Programming and Operating System Interface. Common Statistical Procedures. Linear Regression and ANOVA. Regression Generalizations and Modeling. A Graphical Compendium. Graphical Options and Configuration. Simulation. Special Topics. Case Studies. Appendices.

Ken Kleinman, Nicholas J. Horton