Overview
- Shows you how to manipulate the structures of the R language
- Demonstrates applications in big data, data science/analytics, finance and analysis with statistical programming
- Broadens your understanding of functions and expressions in R
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About this book
Learn how to manipulate functions and expressions to modify how the R language interprets itself. This book is an introduction to metaprogramming in the R language, so you will write programs to manipulate other programs. Metaprogramming in R shows you how to treat code as data that you can generate, analyze, or modify.
R is a very high-level language where all operations are functions and all functions are data that can be manipulated. This book shows you how to leverage R's natural flexibility in how function calls and expressions are evaluated, to create small domain-specific languages to extend R within the R language itself.
What You'll Learn
Who This Book Is For
Those with at least some experience with R and certainly for those with experience in other programming languages.
R is a very high-level language where all operations are functions and all functions are data that can be manipulated. This book shows you how to leverage R's natural flexibility in how function calls and expressions are evaluated, to create small domain-specific languages to extend R within the R language itself.
What You'll Learn
- Find out about the anatomy of a function in R
- Look inside a function call
- Work with R expressions and environments
- Manipulate expressions in R
- Use substitutions
Who This Book Is For
Those with at least some experience with R and certainly for those with experience in other programming languages.
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Keywords
Table of contents (5 chapters)
Authors and Affiliations
About the author
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 and Functional Programming in R with Apress as well as other books out there.
Bibliographic Information
Book Title: Metaprogramming in R
Book Subtitle: Advanced Statistical Programming for Data Science, Analysis and Finance
Authors: Thomas Mailund
DOI: https://doi.org/10.1007/978-1-4842-2881-4
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: 978-1-4842-2880-7Published: 02 June 2017
eBook ISBN: 978-1-4842-2881-4Published: 01 June 2017
Edition Number: 1
Number of Pages: XI, 103
Number of Illustrations: 4 b/w illustrations
Topics: Programming Techniques, Programming Languages, Compilers, Interpreters, Probability and Statistics in Computer Science