Software for Data Analysis

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ISBN: 9780387759357 | 0387759352
Cover: Hardcover
Copyright: 8/1/2008

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Now he turns to R, the enormously successful open-source system based on the S language. R's international support and the thousands of packages and other contributions have made it the standard for statistical computing in research and teaching.

Introduction: Principles and Concepts	p. 1
Exploration: The Mission	p. 1
Trustworthy Software: The Prime Directive	p. 3
Concepts for Programming with R	p. 4
The R System and the S Language	p. 9
Using R	p. 11
Starting R	p. 11
An Interactive Session	p. 13
The Language	p. 19
Objects and Names	p. 24
Functions and Packages	p. 25
Getting R	p. 29
Online Information About R	p. 31
What's Hard About Using R?	p. 34
Programming with R: The Basics	p. 37
From Commands to Functions	p. 37
Functions and Functional Programming	p. 43
Function Objects and Function Calls	p. 50
The Language	p. 58
Debugging	p. 61
Interactive Tracing and Editing	p. 67
Conditions: Errors and Warnings	p. 74
Testing R Software	p. 76
R Packages	p. 79
Introduction: Why Write a Package?	p. 79
The Package Concept and Tools	p. 80
Creating a Package	p. 85
Documentation for Packages	p. 95
Testing Packages	p. 101
Package Namespaces	p. 103
Including C Software in Packages	p. 108
Interfaces to Other Software	p. 108
Objects	p. 111
Objects, Names, and References	p. 111
Replacement Expressions	p. 115
Environments	p. 119
Non-local Assignments; Closures	p. 125
Connections	p. 131
Reading and Writing Objects and Data	p. 135
Basic Data and Computations	p. 139
The Evolution of Data in the S Language	p. 140
Object Types	p. 141
Vectors and Vector Structures	p. 143
Vectorizing Computations	p. 157
Statistical Data: Data Frames	p. 166
Operators: Arithmetic, Comparison, Logic	p. 184
Computations on Numeric Data	p. 191
Matrices and Matrix Computations	p. 200
Fitting Statistical models	p. 218
Programming Random Simulations	p. 221
Data Visualization and Graphics	p. 237
Using Graphics in R	p. 238
The x-y Plot	p. 242
The Common Graphics Model	p. 253
The graphics Package	p. 263
The grid Package	p. 271
Trellis Graphics and the lattice Package	p. 280
Computing with Text	p. 289
Text Computations for Data Analysis	p. 289
Importing Text Data	p. 294
Regular Expressions	p. 298
Text Computations in R	p. 304
Using and Writing Perl	p. 309
Examples of Text Computations	p. 318
New Classes	p. 331
Introduction: Why Classes?	p. 331
Programming with New Classes	p. 334
Inheritance and Inter-class Relations	p. 344
Virtual Classes	p. 351
Creating and Validating Objects	p. 359
Programming with S3 Classes	p. 362
Example: Binary Trees	p. 369
Example: Data Frames	p. 375
Methods and Generic Functions	p. 381
Introduction: Why Methods?	p. 381
Method Definitions	p. 384
New Methods for Old Functions	p. 387
Programming Techniques for Methods	p. 389
Generic Functions	p. 396
How Method Selection Works	p. 405
Interfaces I: C and Fortran	p. 411
Interfaces to C and Fortran	p. 411
Calling R-Independent Subroutines	p. 415
Calling R-Dependent Subroutines	p. 420
Computations in C++	p. 425
Loading and Registering Compiled Routines	p. 426
Interfaces II: Other Systems	p. 429
Choosing an Interface	p. 430
Text- and File-Based Interfaces	p. 432
Functional Interfaces	p. 433
Object-Based Interfaces	p. 435
Interfaces to OOP Languages	p. 437
Interfaces to C++	p. 440
Interfaces to Databases and Spreadsheets	p. 446
Interfaces without R	p. 450
How R Works	p. 453
The R Program	p. 453
The R Evaluator	p. 454
Calls to R Functions	p. 460
Calls to Primitive Functions	p. 463
Assignments and Replacements	p. 465
The Language	p. 468
Memory Management for R Objects	p. 471
Some Notes on the History of S	p. 475
Bibliography	p. 479
Index	p. 481
Index of R Functions and Documentation	p. 489
Index of R Classes and Types	p. 497
Table of Contents provided by Ingram. All Rights Reserved.

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