Software for Data Analysis Programming with R

ISBN-10: 0387759352
ISBN-13: 9780387759357
Edition: 2008
Authors: John M. Chambers
List price: $149.00 Buy it from $35.12
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Description: Although statistical design is one of the oldest branches of statistics, its importance is ever increasing, especially in the face of the data flood that often faces statisticians. It is important to recognize the appropriate design, and to  More...

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Book details

List price: $149.00
Copyright year: 2008
Publisher: Springer
Publication date: 8/10/2009
Binding: Hardcover
Pages: 500
Size: 6.25" wide x 9.25" long x 1.00" tall
Weight: 2.112
Language: English

Although statistical design is one of the oldest branches of statistics, its importance is ever increasing, especially in the face of the data flood that often faces statisticians. It is important to recognize the appropriate design, and to understand how to effectively implement it, being aware that the default settings from a computer package can easily provide an incorrect analysis. The goal of this book is to describe the principles that drive good design, paying attention to both the theoretical background and the problems arising from real experimental situations. Designs are motivated through actual experiments, ranging from the timeless agricultural randomized complete block, to microarray experiments, which naturally lead to split plot designs and balanced incomplete blocks.

Introduction: Principles and Concepts
Exploration: The Mission
Trustworthy Software: The Prime Directive
Concepts for Programming with R
The R System and the S Language
Using R
Starting R
An Interactive Session
The Language
Objects and Names
Functions and Packages
Getting R
Online Information About R
What's Hard About Using R?
Programming with R: The Basics
From Commands to Functions
Functions and Functional Programming
Function Objects and Function Calls
The Language
Debugging
Interactive Tracing and Editing
Conditions: Errors and Warnings
Testing R Software
R Packages
Introduction: Why Write a Package?
The Package Concept and Tools
Creating a Package
Documentation for Packages
Testing Packages
Package Namespaces
Including C Software in Packages
Interfaces to Other Software
Objects
Objects, Names, and References
Replacement Expressions
Environments
Non-local Assignments; Closures
Connections
Reading and Writing Objects and Data
Basic Data and Computations
The Evolution of Data in the S Language
Object Types
Vectors and Vector Structures
Vectorizing Computations
Statistical Data: Data Frames
Operators: Arithmetic, Comparison, Logic
Computations on Numeric Data
Matrices and Matrix Computations
Fitting Statistical models
Programming Random Simulations
Data Visualization and Graphics
Using Graphics in R
The x-y Plot
The Common Graphics Model
The graphics Package
The grid Package
Trellis Graphics and the lattice Package
Computing with Text
Text Computations for Data Analysis
Importing Text Data
Regular Expressions
Text Computations in R
Using and Writing Perl
Examples of Text Computations
New Classes
Introduction: Why Classes?
Programming with New Classes
Inheritance and Inter-class Relations
Virtual Classes
Creating and Validating Objects
Programming with S3 Classes
Example: Binary Trees
Example: Data Frames
Methods and Generic Functions
Introduction: Why Methods?
Method Definitions
New Methods for Old Functions
Programming Techniques for Methods
Generic Functions
How Method Selection Works
Interfaces I: C and Fortran
Interfaces to C and Fortran
Calling R-Independent Subroutines
Calling R-Dependent Subroutines
Computations in C++
Loading and Registering Compiled Routines
Interfaces II: Other Systems
Choosing an Interface
Text- and File-Based Interfaces
Functional Interfaces
Object-Based Interfaces
Interfaces to OOP Languages
Interfaces to C++
Interfaces to Databases and Spreadsheets
Interfaces without R
How R Works
The R Program
The R Evaluator
Calls to R Functions
Calls to Primitive Functions
Assignments and Replacements
The Language
Memory Management for R Objects
Some Notes on the History of S
Bibliography
Index
Index of R Functions and Documentation
Index of R Classes and Types

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