Overview
- 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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About this book
In Functional Programming in R 4, you’ll see how to 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 4, 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.
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Keywords
Table of contents (8 chapters)
Authors and Affiliations
About the author
Thomas Mailund is Senior Software Architect at Kvantify, a quantum computing company from Denmark. He has a background in math and computer science. He now works on developing algorithms for computational problems applicable for quantum computing. He previously worked at the Bioinformatics Research Centre, Aarhus University, 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.
Bibliographic Information
Book Title: Functional Programming in R 4
Book Subtitle: Advanced Statistical Programming for Data Science, Analysis, and Finance
Authors: Thomas Mailund
DOI: https://doi.org/10.1007/978-1-4842-9487-1
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Thomas Mailund 2023
Softcover ISBN: 978-1-4842-9486-4Published: 09 June 2023
eBook ISBN: 978-1-4842-9487-1Published: 08 June 2023
Edition Number: 2
Number of Pages: XI, 158
Number of Illustrations: 17 b/w illustrations
Topics: Programming Languages, Compilers, Interpreters, Programming Techniques, Software Engineering