Chambers Extending R

Erscheinungsjahr 2016
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

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

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.