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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
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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
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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
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7. Basic Programming
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7. Basic Programming
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Conditional execution
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Summary
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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
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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
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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
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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
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Index
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Index

Chapter 2. Organizing Data

In this chapter, we will explore the primary data structures that are used to organize data. Some of the details about accessing information within data structures will be discussed, and some of the ways to apply different operations to parts of the data within a data structure will be discussed too. There are roughly three parts to this chapter:

  • Basic data structures: This section gives you information on using vectors, lists, data frames, tables, matrices, and time series
  • Accessing and managing memory: This section gives you an overview of the basic ways to gain access and censor specific elements
  • Operations on data structures: This section gives you an overview of the operations and methods used to apply operations within the different kinds of data structures

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