R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics

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

• R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
• Advanced R, Second Edition (Chapman & Hall/CRC The R Series)
• Hands-On Programming with R: Write Your Own Functions And Simulations
• Machine Learning with R: Expert techniques for predictive modeling, 3rd Edition
• Practical Statistics for Data Scientists: 50 Essential Concepts
• Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures
• Learning R
• ggplot2: Elegant Graphics for Data Analysis (Use R!)
• R Graphics Cookbook: Practical Recipes for Visualizing Data
• The Art of R Programming: A Tour of Statistical Software Design