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R Object-oriented Programming

By : Black

4.4 (9)

R Object-oriented Programming

4.4 (9)

By: Black

Overview of this book

This book is designed for people with some experience in basic programming practices. It is also assumed that they have some basic experience using R and are familiar using the command line in an R environment. Our primary goal is to raise a beginner to a more advanced level to make him/her more comfortable creating programs and extending R to solve common problems.

Preface

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Free Chapter

1. Data Types

1. Data Types

Assignment

The workspace

Discrete data types

Summary

2. Organizing Data

2. Organizing Data

Basic data structures

Operations on data structures

Summary

3. Saving Data and Printing Results

3. Saving Data and Printing Results

File and directory information

Entering data

Printing results and saving data

Primitive input/output

Network options

Summary

4. Calculating Probabilities and Random Numbers

4. Calculating Probabilities and Random Numbers

Overview

5. Character and String Operations

5. Character and String Operations

Basic string operations

Six focused tasks

Regular expressions

Summary

6. Converting and Defining Time Variables

6. Converting and Defining Time Variables

Introduction and assumptions

Converting strings to time data types

Summary

7. Basic Programming

7. Basic Programming

Conditional execution

Summary

8. S3 Classes

8. S3 Classes

Defining classes and methods

Defining objects and inheritance

Encapsulation

A final note

Summary

9. S4 Classes

9. S4 Classes

Introducing the Ant class

Defining an S4 class

Defining methods for an S4 class

Inheritance

Miscellaneous notes

Summary

10. Case Study – Course Grades

10. Case Study – Course Grades

Overview

The Course class

The assignment classes

Defining indexing operations

Redefining existing functions

Redefining arithmetic operations

Summary

11. Case Study – Simulation

11. Case Study – Simulation

The simulation classes

The Monte-Carlo class

Examples

Summary

A. Package Management

A. Package Management

Index

Index

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Operations on data structures

The R environment has a rich set of options available for performing operations on data within the various data structures. These operations can be performed in a variety of ways and can be restricted according to various criteria. The focus of this section is the purpose and formats of the various apply commands.

The apply commands are used to instruct R to use a given command on specific parts of a list, vector, or array. Each data type has different versions of the apply commands that are available. Before discussing the different commands, it is important to define the notion of the margins of a table or array. The margins are defined along any dimension, and the dimension used must be specified. The margin command can be used to determine the sum of the row, columns, or the entire column of an array or table:

> A <- matrix(1:12,nrow=3,byrow=TRUE)
> A
     [,1] [,2] [,3] [,4]
[1,]    1    2    3    4
[2,]    5    6    7    8
[3,]    9   10   11 ...

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