Book Image

R Object-oriented Programming

By : Black
Book Image

R Object-oriented Programming

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.

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R Object-oriented Programming
Black
Oct, 2014 | 190 pages
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Table of Contents (14 chapters)
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
1. Data Types
1. Data Types
Assignment
The workspace
Discrete data types
Summary
2
2. Organizing Data
2. Organizing Data
Basic data structures
Operations on data structures
Summary
3
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
4. Calculating Probabilities and Random Numbers
4. Calculating Probabilities and Random Numbers
Overview
5
5. Character and String Operations
5. Character and String Operations
Basic string operations
Six focused tasks
Regular expressions
Summary
6
6. Converting and Defining Time Variables
6. Converting and Defining Time Variables
Introduction and assumptions
Converting strings to time data types
Summary
7
7. Basic Programming
7. Basic Programming
Conditional execution
Summary
8
8. S3 Classes
8. S3 Classes
Defining classes and methods
Defining objects and inheritance
Encapsulation
A final note
Summary
9
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
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
11. Case Study – Simulation
11. Case Study – Simulation
The simulation classes
The Monte-Carlo class
Examples
Summary
12
A. Package Management
A. Package Management
13
Index
Index

Chapter 1. Data Types

In this chapter, we provide a broad overview of the different data types available in the R environment. This material is introductory in nature, and this chapter ensures that important information on implementing algorithms is available to you. There are roughly five parts in this chapter:

  • Working with variables in the R environment: This section gives you a broad overview of interacting with the R shell, creating variables, deleting variables, saving variables, and loading variables
  • Discrete data types: This section gives you an overview of the principle data types used to represent discrete data
  • Continuous data types: This section gives you an overview of the principle data types used to represent continuous data
  • Introduction to vectors: This section gives you an introduction to vectors and manipulating vectors in R
  • Special data types: This section gives you a list of other data types that do not fit in the other categories or have other meanings
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End of Section 1
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