Book description
R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.
The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anonymous functions. No statistical knowledge is required, and your programming skills can range from hobbyist to pro.
Along the way, you'll learn about functional and objectoriented programming, running mathematical simulations, and rearranging complex data into simpler, more useful formats. You'll also learn to:
•Create artful graphs to visualize complex data sets and functions
•Write more efficient code using parallel R and vectorization
•Interface R with C/C++ and Python for increased speed or functionality
•Find new R packages for text analysis, image manipulation, and more
•Squash annoying bugs with advanced debugging techniques
Whether you're designing aircraft, forecasting the weather, or you just need to tame your data, The Art of R Programming is your guide to harnessing the power of statistical computing.
Table of contents
 Cover Page
 Title Page
 Copyright Page
 BRIEF CONTENTS
 CONTENTS IN DETAIL
 Acknowledgments
 Introduction
 1. Getting Started
 2. Vectors
 3. Matrices and Arrays
 4. Lists
 5. Data Frames
 6. Factors and Tables

7. R Programming Structures
 Control Statements
 Arithmetic and Boolean Operators and Values
 Default Values for Arguments
 Return Values
 Functions Are Objects
 Environment and Scope Issues
 No Pointers in R
 Writing Upstairs
 Recursion
 Replacement Functions
 Tools for Composing Function Code
 Writing Your Own Binary Operations
 Anonymous Functions
 8. Doing Math and Simulations in R
 9. ObjectOriented Programming
 10. Input/Output
 11. String Manipulation

12. Graphics

Creating Graphs
 The Workhorse of R Base Graphics: The plot() Function
 Adding Lines: The abline() Function
 Starting a New Graph While Keeping the Old Ones
 Extended Example: Two Density Estimates on the Same Graph
 Extended Example: More on the Polynomial Regression Example
 Adding Points: The points() Function
 Adding a Legend: The legend() Function
 Adding Text: The text() Function
 Pinpointing Locations: The locator() Function
 Restoring a Plot
 Customizing Graphs
 Saving Graphs to Files
 Creating ThreeDimensional Plots

Creating Graphs

13. Debugging
 Fundamental Principles of Debugging
 Why Use a Debugging Tool?
 Using R Debugging Facilities
 Moving Up in the World: More Convenient Debugging Tools
 Ensuring Consistency in Debugging Simulation Code
 Syntax and Runtime Errors
 Running GDB on R Itself
 14. Performance Enhancement: Speed and Memory
 15. Interfacing R to Other Languages
 16. Parallel R
 A. Installing R
 B. Installing and Using Packages
 Index
 Colophon
 About the Author
Product information
 Title: The Art of R Programming
 Author(s):
 Release date: October 2011
 Publisher(s): No Starch Press
 ISBN: 9781593273842
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