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Functional Programming in R

Advanced Statistical Programming for Data Science, Analysis and Finance

Authors: Mailund, Thomas

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  • A unique book on learning and using functional programming in R 
  • Author is an expert at using and programming with R 
  • R is a popular open source programming language for statistical analysis and data science
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Buy this book

eBook 15,46 €
price for Spain (gross)
  • ISBN 978-1-4842-2746-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 20,79 €
price for Spain (gross)
  • ISBN 978-1-4842-2745-9
  • 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

Master functions and discover how to write functional programs in R. In this concise book, you'll make your functions pure by avoiding side-effects; you’ll write functions that manipulate other functions, and you’ll construct complex functions using simpler functions as building blocks.
In Functional Programming in R, you’ll see how we can replace loops, which can have side-effects, with recursive functions that can more easily avoid them. In addition, the book covers why you shouldn't use recursion when loops are more efficient and how you can get the best of both worlds.
Functional programming is a style of programming, like object-oriented programming, but one that focuses on data transformations and calculations rather than objects and state. Where in object-oriented programming you model your programs by describing which states an object can be in and how methods will reveal or modify that state, in functional programming you model programs by describing how functions translate input data to output data. Functions themselves are considered to be data you can manipulate and much of the strength of functional programming comes from manipulating functions; that is, building more complex functions by combining simpler functions.
What You'll Learn

  • Write functions in R including infix operators and replacement functions 
  • Create higher order functions
  • Pass functions to other functions and start using functions as data you can manipulate
  • Use Filer, Map and Reduce functions to express the intent behind code clearly and safely
  • Build new functions from existing functions without necessarily writing any new functions, using point-free programming
  • Create functions that carry data along with them

Who This Book Is For
Those with at least some experience with programming in R.

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 with Apress as well as other books out there.  

Table of contents (6 chapters)

Buy this book

eBook 15,46 €
price for Spain (gross)
  • ISBN 978-1-4842-2746-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 20,79 €
price for Spain (gross)
  • ISBN 978-1-4842-2745-9
  • 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 Programming in R
Book Subtitle
Advanced Statistical Programming for Data Science, Analysis and Finance
Authors
Copyright
2017
Publisher
Apress
Copyright Holder
Thomas Mailund
Distribution Rights
Standard Apress distribution
eBook ISBN
978-1-4842-2746-6
DOI
10.1007/978-1-4842-2746-6
Softcover ISBN
978-1-4842-2745-9
Edition Number
1
Number of Pages
XV, 104
Number of Illustrations and Tables
6 b/w illustrations, 1 illustrations in colour
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