|| ||Gretchen Giles <gretchen-AT-oreilly.com> |
|| ||lwn-AT-lwn.net |
|| ||R Cookbook--New from O'Reilly Media |
|| ||Tue, 22 Mar 2011 07:01:26 -0700|
|| ||Article, Thread
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For Immediate Release
For more information, please contact:
Gretchen Giles (707) 827-7136 or email@example.com
R Cookbook--New from O'Reilly Media
Proven Recipes for Data Analysis, Statistics, and Graphics
Sebastopol, CA--With more than 200 practical recipes, "R Cookbook" (O'Reilly Media, $43.99 USD)
helps you perform data analysis with R quickly and efficiently.
"R is now the premier tool for number-crunching, graphics, and statistical computing," says author
Paul Teetor (@pteetor). "But it has a learning curve and plenty of quirks. I wrote this cookbook so
that readers can quickly solve problems with R and move forward. It grew out of the notes,
techniques, and short cuts that I use everyday."
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.
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. You will also learn how to:
- 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
For a review copy or more information please email firstname.lastname@example.org. Please include your
delivery address and contact information.
About the Author
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.
For more information about the book, including table of contents, author bios, and cover graphic,
Publisher: O'Reilly Media
By Paul Teetor
Print ISBN: 9780596809157
Print Price: $39.99, Ebook Price: $31.99
O'Reilly Media spreads the knowledge of innovators through its books, online services, magazines,
and conferences. Since 1978, O'Reilly Media has been a chronicler and catalyst of cutting-edge
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