R Cookbook
Paul Teetor(Author)
O'Reilly (Publisher)
1st Edition
Published on 15. March 2011
Book
434 pages
978-0-596-80915-7 (ISBN)
Article exhausted; check for reprint
Description
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
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
More details
Language
English
Place of publication
Sebastopol
United States
Target group
Professional and scholarly
ISBN-13
978-0-596-80915-7 (9780596809157)
Schweitzer Classification
Other editions
New editions

Book
07/2019
2nd Edition
O'Reilly
€73.50
Shipment within 15-20 days
Additional editions

E-Book
03/2011
O'Reilly
€37.49
Available for download
Person
Paul Teetor is a quantitative developer with Masters degrees in statistics and computer science. He specializes in analytics and software engineering for investment management, securities trading, and risk management. He works with hedge funds, market makers, and portfolio managers in the greater Chicago area, where he lives with his wife and sons. In his mind, he is a fabulous musician and one of the world's great futures traders.