You're reading from R Object-oriented Programming A practical guide to help you learn and understand the programming techniques necessary to exploit the full power of R

Product type Paperback

Published in Oct 2014

Publisher

ISBN-13 9781783986682

Length 190 pages

Edition 1st Edition

Languages

Concepts

Object Oriented Programming

Author (1):

Kelly Black

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Table of Contents (14) Chapters

Preface

1. Data Types

2. Organizing Data FREE CHAPTER

3. Saving Data and Printing Results

4. Calculating Probabilities and Random Numbers

Overview

5. Character and String Operations

6. Converting and Defining Time Variables

7. Basic Programming

8. S3 Classes

9. S4 Classes

10. Case Study – Course Grades

11. Case Study – Simulation

A. Package Management

Index

Summary

In this chapter, we examined the basic data structures available to help organize data. These data structures include vectors, lists, data frames, tables, and arrays. We examined some of the ways to manage the data structures using the rbind and cbind commands. Finally, we examined some of the methods available to perform calculations on the data within the data structure and examined the various functions available to apply commands to parts of the data within the data structure.

In the next chapter, we will build on these ideas and examine how to get information from a data file and into the various data structures. We will also examine the methods available to produce formatted output to display the results of calculations on data.

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R Object-oriented Programming

Published in: Oct 2014

Publisher:

ISBN-13: 9781783986682

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Authors (1)

Kelly Black

Kelly Black is a faculty member in the Department of Mathematics at Clarkson University. His background is in numerical analysis with a focus on the use of spectral methods and stochastic differential equations. He makes extensive use of R in the analysis of the results of Monte-Carlo simulations. In addition to using R for his research interests, Kelly also uses the R environment for his statistics classes. He has extensive experience sharing his experiences with R in the classroom. The use of R to explore datasets is an important part of the curriculum.

See other products by Kelly Black