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Metaprogramming in R

Advanced Statistical Programming for Data Science, Analysis and Finance

  • Book
  • © 2017

Overview

Authors:
  1. Thomas Mailund

    1. Aarhus N, Denmark

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  • 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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Table of contents (5 chapters)

  1. Front Matter

    Pages i-xi
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  2. Anatomy of a Function

    • Thomas Mailund
    Pages 1-15

  3. Inside a Function Call

    • Thomas Mailund
    Pages 17-33

  4. Expressions and Environments

    • Thomas Mailund
    Pages 35-55

  5. Manipulating Expressions

    • Thomas Mailund
    Pages 57-75

  6. Working with Substitutions

    • Thomas Mailund
    Pages 77-97

  7. Back Matter

    Pages 99-103
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Keywords

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
  • 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.

Authors and Affiliations

  • Aarhus N, Denmark

    Thomas Mailund

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.  

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