R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics, 2nd Edition eBook

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Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an intermediate user, this book 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 basic functions Simplify data input and output 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

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R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics 2nd Edition is written by JD Long; Paul Teetor and published by O’Reilly Media. The Digital and eTextbook ISBNs for R Cookbook are 9781492040637, 1492040630 and the print ISBNs are 9781492040682, 1492040681. Additional ISBNs for this eTextbook include 9781492040644, 9781492040651.