R in a Nutshell : A Desktop Quick Reference

Adler, Joseph

ISBN 10: 059680170X / ISBN 13: 9780596801700

Published by O'Reilly Media, Incorporated, 2010

About this Item

Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.

Seller Inventory # 12687853-6

Bibliographic Details

• Title: R in a Nutshell : A Desktop Quick Reference
• Publisher: O'Reilly Media, Incorporated
• Publication Date: 2010
• Language: English
• ISBN 10: 059680170X
• ISBN 13: 9780596801700
• Binding: Soft cover
• Edition: 1st Edition.
• 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 years of experience working with lots of popular data mining packages, including databases (including Oracle, PostgreSQL, and MS Access), statistical analysis tools (SAS, SPSS, S-Plus, and R), and data mining tools (SAS Enterprise Miner, Insightful Miner, Oracle Data Mining, Weka, and SPSS Clementine). He is currently leading a project at Verisign to pick a data mining package for enterprise deployment.