R Cookbook: Proven recipes for data analysis, statistics, and graphics (O'reilly Cookbooks) - Softcover

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.

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, R Cookbook 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.

• Create vectors, handle variables, and perform other basic functions
• Input and output data
• Tackle data structures such as matrices, lists, factors, and data frames
• Work with probability, probability distributions, and random variables
• Calculate statistics and confidence intervals, and perform statistical tests
• Create a variety of graphic displays
• Build statistical models with linear regressions and analysis of variance (ANOVA)
• Explore advanced statistical techniques, such as finding clusters in your data

"Wonderfully readable, R Cookbook 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