Overview
- 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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Table of contents (6 chapters)
Keywords
About this book
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 RÂ
- Use abstract data structuresÂ
- Work with both immutable and persistent dataÂ
- 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.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Functional Data Structures in R
Book Subtitle: Advanced Statistical Programming in R
Authors: Thomas Mailund
DOI: https://doi.org/10.1007/978-1-4842-3144-9
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: 978-1-4842-3143-2Published: 18 November 2017
eBook ISBN: 978-1-4842-3144-9Published: 17 November 2017
Edition Number: 1
Number of Pages: XII, 256
Number of Illustrations: 55 b/w illustrations, 2 illustrations in colour
Topics: Programming Techniques, Data Structures, Programming Languages, Compilers, Interpreters, Probability and Statistics in Computer Science