R in a Nutshell: A Desktop Quick Reference

Adler, Joseph

ISBN 10: 059680170X / ISBN 13: 9780596801700

Published by O'Reilly Media (edition 1), 2010

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Bibliographic Details

• Title: R in a Nutshell: A Desktop Quick Reference
• Publisher: O'Reilly Media (edition 1)
• Publication Date: 2010
• Language: English
• ISBN 10: 059680170X
• ISBN 13: 9780596801700
• Binding: Paperback
• Edition: 1.
• Condition: Good

About this title

Synopsis

Why learn R? Because it's rapidly becoming the standard for developing statistical software. R in a Nutshell provides a quick and practical way to learn this increasingly popular open source language and environment. You'll not only learn how to program in R, but also how to find the right user-contributed R packages for statistical modeling, visualization, and bioinformatics.

The author introduces you to the R environment, including the R graphical user interface and console, and takes you through the fundamentals of the object-oriented R language. Then, through a variety of practical examples from medicine, business, and sports, you'll learn how you can use this remarkable tool to solve your own data analysis problems.

• Understand the basics of the language, including the nature of R objects
• Learn how to write R functions and build your own packages
• Work with data through visualization, statistical analysis, and other methods
• Explore the wealth of packages contributed by the R community
• Become familiar with the lattice graphics package for high-level data visualization
• Learn about bioinformatics packages provided by Bioconductor

"I am excited about this book. R in a Nutshell is a great introduction to R, as well as a comprehensive reference for using R in data analytics and visualization. Adler provides 'real world' examples, practical advice, and scripts, making it accessible to anyone working with data, not just professional statisticians."

About the Author

Joseph Adler has many years of experience in data mining and data analysis at companies including DoubleClick, American Express, and VeriSign. He graduated from MIT with an Sc.B and M.Eng in Computer Science and Electrical Engineering from MIT. He is the inventor of several patents for computer security and cryptography, and the author of Baseball Hacks. Currently, he is a senior data scientist at LinkedIn.