Chambers Extending R

Erscheinungsjahr 2017
ISBN: 978-1-4987-7572-4
Verlag: CRC Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 382 Seiten

Reihe: Chapman & Hall/CRC The R Series

Up-to-Date Guidance from One of the Foremost Members of the R Core Team

Written by John M. Chambers, the leading developer of the original S software, Extending R covers key concepts and techniques in R to support analysis and research projects. It presents the core ideas of R, provides programming guidance for projects of all scales, and introduces new, valuable techniques that extend R.

The book first describes the fundamental characteristics and background of R, giving readers a foundation for the remainder of the text. It next discusses topics relevant to programming with R, including the apparatus that supports extensions. The book then extends R’s data structures through object-oriented programming, which is the key technique for coping with complexity. The book also incorporates a new structure for interfaces applicable to a variety of languages.

A reflection of what R is today, this guide explains how to design and organize extensions to R by correctly using objects, functions, and interfaces. It enables current and future users to add their own contributions and packages to R.

Autoren/Hrsg.

Chambers, John M.

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftsstatistik, Demographie

Inhaltsverzeichnis

Understanding R
Objects, Functions and Interfaces
Three Principles
Everything is an Object
Everything is a Function Call
Interfaces are Part of R
Functional Programming
Object-Oriented Programming

Evolution
Computational Methods
The First Version of S
Functional, Object-Based S
R Arrives and Evolves
Evolution of Object-Oriented Programming
Functional OOP in S and R
S4 and R

R in Operation
Objects and References
Function Calls
Interfaces
The R Evaluator

Programming with R
Small, Medium and Large

Functions
Functional Programming and R
Assignments and Replacements
Computing on the Language
Interfaces and Primitives
Getting it to Run Faster

Objects
Types and Attributes
Object Management
Reference Objects; Environments

Packages
Understanding Packages
Installing a Package
Loading and Attaching a Package
Sharing your Package

In the Large

Object-Oriented Programming
Classes and Methods in R
OOP Software in R
Functional and Encapsulated OOP
Creating Classes in R
Creating Methods in R
Example: Classes for Models

Functional OOP in R
Functional OOP in Extending R
Defining Classes
Defining Methods and Generic Functions
Classes and Methods in an R Package
Functional Classes in Detail
Generic Functions in Detail
Functional Methods in Detail
S3 Methods and Classes

Encapsulated OOP in R
The Structure of Encapsulated OOP
Using Encapsulated OOP
Defining Reference Classes
Fields in Reference Classes
Methods in Reference Classes
Functional Methods for Reference Classes

Interfaces
Understanding Interfaces
Introduction
Available Interfaces
Subroutines and Evaluators
Server Language Software
Server Language Computations
Server Language Object References
Data Conversion
Interfaces for Performance

The XR Structure for Interfaces
Introduction
The XR Interface Structure
Evaluator Objects and Methods
Application Programming
Specializing to the Server Language
Proxy Objects
Proxy Functions and Classes
Data Conversion

An Interface to Python
R and Python
Python Computations
Python Programming
Python Functions
Python Classes
Data Conversion

An Interface to Julia
R and Julia
Julia Computations
Julia Programming
Julia Functions
Julia Types
Data Conversion

Subroutine Interfaces
R, Subroutines and C++
C++ Interface Programming
C++ Functions
C++ Classes
Data Conversion

Bibliography

Index

Über Autor(innen)

John M. Chambers is a consulting professor in the Department of Statistics at Stanford University. He previously worked at Bell Labs for 40 years, where he contributed to major research and management in statistical computing and related fields. He was the first statistician to be named a Bell Labs Fellow.

Chambers is best known for the creation and extension of the S software, the predecessor to today’s very popular R. He has continued to contribute essential new directions to R. In 1999, he was honored with the ACM Software System Award, which noted that "S has forever altered the way people analyze, visualize, and manipulate data."

He is a board member of the R Foundation and the R Consortium; a fellow of the ASA, the IMS, and the AAAS; and an elected member of the ISI. He is the author or co-author of nine books, including the first comprehensive book on computational methods for statistics.