Sign In Start Free Trial

Book Overview & Buying
Table Of Contents
Feedback & Rating

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

Customer Reviews

4.4 (9)

5 star

66.7%

4 star

22.2%

3 star

0

2 star

11.1%

1 star

0

Summary

An extended example making use of S4 classes was examined in this chapter, and a set of classes are defined to read and track the grades for a class. The Course class keeps track of a number of assignments, and it reads the contents of a CSV file and automatically determines which columns are grades and whether or not they are numerical grades or letter grades.

The grades for a particular assignment are kept in one of two classes. The NumericGrade class keeps track of numerical grades, and the LetterGrade class keeps track of letter grades. Both classes are derived from the Assignment base class.

A number of examples were given, and highlights from the code were given. The full set of code can be found on the website associated with this book, and we recommend that you closely examine the code. The three files that include the definitions for this class are the grades.R, ops.R, and overriding.R files.

In the next chapter, another set of classes are developed. The classes in that chapter...

Search

Your notes and bookmarks