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Functional Data Structures in R

Advanced Statistical Programming in R

Authors: Mailund, Thomas

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  • Learn algorithmic programming in R
  • Emulate pointers and implement traditional data structures in R
  • Master how to work with data structures when you cannot modify the data itself
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Buy this book

eBook 16,99 €
price for Spain (gross)
  • ISBN 978-1-4842-3144-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 23,91 €
price for Spain (gross)
  • ISBN 978-1-4842-3143-2
  • 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

Get an introduction to functional data structures using R and write more effective code and gain performance for your programs. This book teaches you workarounds because data in functional languages is not mutable: for example you’ll learn how to change variable-value bindings by modifying environments, which can be exploited to emulate pointers and implement traditional data structures. You’ll also see how, by abandoning traditional data structures, you can manipulate structures by building new versions rather than modifying them. You’ll discover how these so-called functional data structures are different from the traditional data structures you might know, but are worth understanding to do serious algorithmic programming in a functional language such as R.
By the end of Functional Data Structures in R, you’ll understand the choices to make in order to most effectively work with data structures when you cannot modify the data itself. These techniques are especially applicable for algorithmic development important in big data, finance, and other data science applications.
What You'll Learn

  • Carry out algorithmic programming in R 
  • Use abstract data structures 
  • Work with both immutable and persistent data 
  • Emulate pointers and implement traditional data structures in R
  • Build new versions of traditional data structures that are known

Who This Book Is For
Experienced or advanced programmers with at least a comfort level with R. Some experience with data structures recommended.

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.  

Table of contents (6 chapters)

Buy this book

eBook 16,99 €
price for Spain (gross)
  • ISBN 978-1-4842-3144-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 23,91 €
price for Spain (gross)
  • ISBN 978-1-4842-3143-2
  • 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
Functional Data Structures in R
Book Subtitle
Advanced Statistical Programming in R
Authors
Copyright
2017
Publisher
Apress
Copyright Holder
Thomas Mailund
Distribution Rights
Standard Apress distribution
eBook ISBN
978-1-4842-3144-9
DOI
10.1007/978-1-4842-3144-9
Softcover ISBN
978-1-4842-3143-2
Edition Number
1
Number of Pages
XII, 256
Number of Illustrations and Tables
55 b/w illustrations, 2 illustrations in colour
Topics