Advanced Object-Oriented Programming in R

Statistical Programming for Data Science, Analysis and Finance

Authors: Mailund, Thomas

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  • 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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eBook 19,99 €
price for Spain (gross)
  • ISBN 978-1-4842-2919-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 25,99 €
price for Spain (gross)
  • ISBN 978-1-4842-2918-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

Learn how to write object-oriented programs in R and how to construct classes and class hierarchies in the three object-oriented systems available in R. This book gives an introduction to object-oriented programming in the R programming language and shows you how to use and apply R in an object-oriented manner. You will then be able to use this powerful programming style in your own statistical programming projects to write flexible and extendable software.
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.

About the authors

Thomas Mailund is an associate professor in bioinformatics at Aarhus University, Denmark. He has a background in math and computer science.  For the last decade, his main focus has been on genetics and evolutionary studies, particularly comparative genomics, speciation, and gene flow between emerging species.  He has published Beginning Data Science in R, Functional Programming in R and Metaprogramming in R with Apress as well as other books out there.  

Table of contents (8 chapters)

Buy this book

eBook 19,99 €
price for Spain (gross)
  • ISBN 978-1-4842-2919-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 25,99 €
price for Spain (gross)
  • ISBN 978-1-4842-2918-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules

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Bibliographic Information

Bibliographic Information
Book Title
Advanced Object-Oriented Programming in R
Book Subtitle
Statistical Programming for Data Science, Analysis and Finance
Authors
Copyright
2017
Publisher
Apress
Copyright Holder
Thomas Mailund
eBook ISBN
978-1-4842-2919-4
DOI
10.1007/978-1-4842-2919-4
Softcover ISBN
978-1-4842-2918-7
Edition Number
1
Number of Pages
XV, 110
Number of Illustrations
10 b/w illustrations
Topics