<DIV><p>With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression.</p><p>Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you're a beginner, <i>R Cookbook</i> will help get you started. If you're an experienced data programmer, it will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process.</p><ul><li>Create vectors, handle variables, and perform other basic functions </li><li>Input and output data </li><li>Tackle data structures such as matrices, lists, factors, and data frames </li><li>Work with probability, probability distributions, and random variables </li><li>Calculate statistics and confidence intervals, and perform statistical tests </li><li>Create a variety of graphic displays </li><li>Build statistical models with linear regressions and analysis of variance (ANOVA) </li><li>Explore advanced statistical techniques, such as finding clusters in your data </li></ul><p> "Wonderfully readable, <i>R Cookbook</i> serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language—one practical example at a time." —Jeffrey Ryan, software consultant and R package author</p></div>