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

By JD Long and Paul Teetor

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

• Language: English
• Publisher: O'Reilly Media, Inc.
• Release date: Jun 21, 2019
• ISBN: 9781492040651

JD Long

J.D. Long is a misplaced southern agricultural economist currently working for Renaissance Re in New York City. J.D. is an avid user of Python, R, AWS and colorful metaphors, and is a frequent presenter at R conferences as well as the founder of the Chicago R User Group. He lives in Jersey City, NJ with his wife, a recovering trial lawyer, and his 11-year-old circuit bending daughter.

Reviews for R Cookbook

[nmarun-1 · Rating: 5 out of 5 stars]

I agree that this is not a book for the beginners, but nevertheless it started with the very basics. I was impressed about it though it is from a Cookbook series.The approach in the book is: if this is your problem, here's the solution, followed by a discussion which provides great amount of detail about the concept or function. This format allows the book to be used as a reference guide as well as it will assist us to jump to a point directly. The book illustrates plenty of functions of R in this fashion. There are parts of the book that educate us about Statistics itself, but prior knowledge of some Statistics is a must if you want to make the best of this book.The author shows examples from a variety of libraries - MASS, Cars93, zoo, XML to name a few. Enthusiastic readers will explore the data sets in these libraries and become more hands-on. The chapter on Useful Tricks exposed many of the "helper" functions. These add to the convenience while working with R.The code samples for the book seemed incomplete when I downloaded them. But this worked for my benefit in the sense that I spent more time actually writing the code or creating the data myself - helped me get a little more comfortable around it's syntax. Blessing in disguise I guess.