Overview
- An up-to-date and practical R programming guide dealing with object-oriented aspects, classes and more
- Includes a case study project as a take away for readers
- Written by an expert in both programming and statistics
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Table of contents (8 chapters)
Keywords
About this book
After reading Advanced Object-Oriented Programming in R, you'll come away with a practical project that you can reuse in your own analytics coding endeavors. You’ll then be able to visualize your data as objects that have state and then manipulate those objects with polymorphic or generic methods. Your projects will benefit from the high degree of flexibility provided by polymorphism, where the choice of concrete method to execute depends on the type of data being manipulated.
What You'll Learn
- Define and use classes and generic functions using R
- Work with the R class hierarchies
- Benefit from implementation reuse
- Handle operator overloading
- Apply the S4 and R6 classes
Who This Book Is For
Experienced programmers and for those with at least some prior experience with R programming language.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Advanced Object-Oriented Programming in R
Book Subtitle: Statistical Programming for Data Science, Analysis and Finance
Authors: Thomas Mailund
DOI: https://doi.org/10.1007/978-1-4842-2919-4
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Thomas Mailund 2017
Softcover ISBN: 978-1-4842-2918-7Published: 24 June 2017
eBook ISBN: 978-1-4842-2919-4Published: 23 June 2017
Edition Number: 1
Number of Pages: XV, 110
Number of Illustrations: 10 b/w illustrations
Topics: Programming Techniques, Programming Languages, Compilers, Interpreters, Probability and Statistics in Computer Science