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R in Action

by

R in Action Cover

 

Synopses & Reviews

Publisher Comments:

Summary

R in Action is the first book to present both the R system and the use cases that make it such a compelling package for business developers. The book begins by introducing the R language, including the development environment. Focusing on practical solutions, the book also offers a crash course in practical statistics and covers elegant methods for dealing with messy and incomplete data using features of R. About the Technology

R is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and utilities. This makes R a great way to get meaningful information from mountains of raw data. About the Book

R in Action is a language tutorial focused on practical problems. It presents useful statistics examples and includes elegant methods for handling messy, incomplete, and non-normal data that are difficult to analyze using traditional methods. And statistical analysis is only part of the story. You'll also master R's extensive graphical capabilities for exploring and presenting data visually.

Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's Inside

  • Practical data analysis, step by step
  • Interfacing R with other software
  • Using R to visualize data
  • Over 130 graphs
  • Eight reference appendixes

================================

Table of Contents

    Part I Getting started
  1. Introduction to R
  2. Creating a dataset
  3. Getting started with graphs
  4. Basic data management
  5. Advanced data management
  6. Part II Basic methods
  7. Basic graphs
  8. Basic statistics
  9. Part III Intermediate methods
  10. Regression
  11. Analysis of variance
  12. Power analysis
  13. Intermediate graphs
  14. Re-sampling statistics and bootstrapping
  15. Part IV Advanced methods
  16. Generalized linear models
  17. Principal components and factor analysis
  18. Advanced methods for missing data
  19. Advanced graphics

Synopsis:

The ability to interpret and act on the massive amounts of information locked in web and enterprise systems is critical to success in the modern business economy. R, a free software environment for statistical computing and graphics, is a comprehensive package that empowers developers and analysts to capture, process, and respond intelligently to statistical information.

R in Action is the first book to present both the R system and the use cases that make it such a compelling package for business developers. The book begins by introducing the R language, and then moves on to various examples illustrating R's features. Coverage includes data mining methodologies, approaches to messy data, R's extensive graphical environment, useful add-on modules, and how to interface R with other software platforms and data management systems.

Synopsis:

'

What people are saying about R in a Nutshell

\"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.\"

--Martin Schultz, Arthur K. Watson Professor of Computer Science, Yale University

\"R in a Nutshell is an ideal book for getting started with R. Newcomers will find the fundamentals for performing statistical analysis and graphics, all illustrated with practical examples. This book is an invaluable reference for anyone who wants to learn what R is and what is can do, even for longtime R users looking for new tips and tricks.\"

--David M. Smith, Editor of the \"Revolutions\" blog at REvolution Computing

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
'

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. He is the inventor of several patents for computer security and cryptography, and the author of Baseball Hacks and R in a Nutshell.

Table of Contents

PrefaceR Basics
  • Chapter 1: Getting and Installing R
  • Chapter 2: The R User Interface
  • Chapter 3: A Short R Tutorial
  • Chapter 4: R Packages
The R Language
  • Chapter 5: An Overview of the R Language
  • Chapter 6: R Syntax
  • Chapter 7: R Objects
  • Chapter 8: Symbols and Environments
  • Chapter 9: Functions
  • Chapter 10: Object-Oriented Programming
  • Chapter 11: High-Performance R
Working with Data
  • Chapter 12: Saving, Loading, and Editing Data
  • Chapter 13: Preparing Data
  • Chapter 14: Graphics
  • Chapter 15: Lattice Graphics
Statistics with R
  • Chapter 16: Analyzing Data
  • Chapter 17: Probability Distributions
  • Chapter 18: Statistical Tests
  • Chapter 19: Power Tests
  • Chapter 20: Regression Models
  • Chapter 21: Classification Models
  • Chapter 22: Machine Learning
  • Chapter 23: Time Series Analysis
  • Chapter 24: Bioconductor
R ReferenceBibliographyColophon

Product Details

ISBN:
9781935182399
Author:
Kabacoff, Robert I
Publisher:
Manning Publications
Author:
Kabacoff, Robert
Author:
Adler, Joseph
Subject:
Mathematical & Statistical Software
Subject:
Mathematics -- Software.
Subject:
graphic;graphs;statistics;stats
Copyright:
Edition Description:
Print PDF
Publication Date:
20110827
Binding:
Paperback
Language:
English
Pages:
472
Dimensions:
9.25 x 7.38 in

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R in Action New Trade Paper
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$59.99 In Stock
Product details 472 pages Manning Publications - English 9781935182399 Reviews:
"Synopsis" by ,

The ability to interpret and act on the massive amounts of information locked in web and enterprise systems is critical to success in the modern business economy. R, a free software environment for statistical computing and graphics, is a comprehensive package that empowers developers and analysts to capture, process, and respond intelligently to statistical information.

R in Action is the first book to present both the R system and the use cases that make it such a compelling package for business developers. The book begins by introducing the R language, and then moves on to various examples illustrating R's features. Coverage includes data mining methodologies, approaches to messy data, R's extensive graphical environment, useful add-on modules, and how to interface R with other software platforms and data management systems.

"Synopsis" by , '

What people are saying about R in a Nutshell

\"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.\"

--Martin Schultz, Arthur K. Watson Professor of Computer Science, Yale University

\"R in a Nutshell is an ideal book for getting started with R. Newcomers will find the fundamentals for performing statistical analysis and graphics, all illustrated with practical examples. This book is an invaluable reference for anyone who wants to learn what R is and what is can do, even for longtime R users looking for new tips and tricks.\"

--David M. Smith, Editor of the \"Revolutions\" blog at REvolution Computing

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
'

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