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  • Book Overview & Buying R Object-oriented Programming
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R Object-oriented Programming

R Object-oriented Programming

By : Black
4.4 (9)
Buy this Book
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R Object-oriented Programming

R Object-oriented Programming

4.4 (9)
By: Black
Buy this Book

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.
Table of Contents (14 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Data Types
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1. Data Types
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Assignment
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The workspace
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Discrete data types
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Summary
2
2. Organizing Data
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2. Organizing Data
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Basic data structures
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Operations on data structures
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Summary
3
3. Saving Data and Printing Results
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3. Saving Data and Printing Results
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File and directory information
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Entering data
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Printing results and saving data
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Primitive input/output
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Network options
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Summary
4
4. Calculating Probabilities and Random Numbers
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4. Calculating Probabilities and Random Numbers
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Overview
5
5. Character and String Operations
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5. Character and String Operations
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Basic string operations
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Six focused tasks
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Regular expressions
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Summary
6
6. Converting and Defining Time Variables
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6. Converting and Defining Time Variables
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Introduction and assumptions
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Converting strings to time data types
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Summary
7
7. Basic Programming
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7. Basic Programming
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Conditional execution
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Summary
8
8. S3 Classes
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8. S3 Classes
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Defining classes and methods
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Defining objects and inheritance
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Encapsulation
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A final note
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Summary
9
9. S4 Classes
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9. S4 Classes
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Introducing the Ant class
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Defining an S4 class
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Defining methods for an S4 class
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Inheritance
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Miscellaneous notes
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Summary
10
10. Case Study – Course Grades
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10. Case Study – Course Grades
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Overview
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The Course class
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The assignment classes
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Defining indexing operations
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Redefining existing functions
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Redefining arithmetic operations
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Summary
11
11. Case Study – Simulation
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11. Case Study – Simulation
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The simulation classes
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The Monte-Carlo class
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Examples
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Summary
12
A. Package Management
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A. Package Management
13
Index
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Index

Miscellaneous notes

In the previous sections, we discussed how to create a new class as well as how to define a hierarchy of classes. We will now discuss four commands that are helpful when working with classes: the slotNames, getSlots, getClass, and slot commands. Each command is briefly discussed in turn, and it is assumed that the Ant, FemaleAnt, and WorkerAnt classes that are given in the previous section are defined in the current workspace.

The first command, the slotnames command, is used to list the data components of an object of some class. It returns the names of each component as a vector of characters:

> worker <- WorkerAnt(Position=c(1,2,3),Length=5.6)
> slotNames(worker)
[1] "Foraging"      "Alarm"         "Food"          "Length"       
[5] "Position"      "pA"            "pI"            "ActivityLevel"

The getSlots command is similar to the slotNames command. The difference is that the...

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R Object-oriented Programming
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