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Domain-Specific Languages in R

Advanced Statistical Programming

  • Book
  • © 2018

Overview

Authors:
  1. Thomas Mailund

    1. Aarhus N, Denmark

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  • Learn to program with domain-specific languages using R
  • Carry out large matrix expressions and multiplications
  • Implement metaprogramming with DSLs

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. Introduction

    • Thomas Mailund
    Pages 1-8

  3. Matrix Expressions

    • Thomas Mailund
    Pages 9-29

  4. Components of a Programming Language

    • Thomas Mailund
    Pages 31-53

  5. Functions, Classes, and Operators

    • Thomas Mailund
    Pages 55-75

  6. Parsing and Manipulating Expressions

    • Thomas Mailund
    Pages 77-100

  7. Lambda Expressions

    • Thomas Mailund
    Pages 101-107

  8. Environments and Expressions

    • Thomas Mailund
    Pages 109-134

  9. Tidy Evaluation

    • Thomas Mailund
    Pages 135-157

  10. List Comprehension

    • Thomas Mailund
    Pages 159-166

  11. Continuous-Time Markov Chains

    • Thomas Mailund
    Pages 167-182

  12. Pattern Matching

    • Thomas Mailund
    Pages 183-213

  13. Dynamic Programming

    • Thomas Mailund
    Pages 215-245

  14. Conclusion

    • Thomas Mailund
    Pages 247-248

  15. Back Matter

    Pages 249-257
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Keywords

About this book

Gain an accelerated introduction to domain-specific languages in R, including coverage of regular expressions. This compact, in-depth book shows you how DSLs are programming languages specialized for a particular purpose, as opposed to general purpose programming languages. Along the way, you’ll learn to specify tasks you want to do in a precise way and achieve programming goals within a domain-specific context. 

Domain-Specific Languages in R includes examples of DSLs including large data sets or matrix multiplication; pattern matching DSLs for application in computer vision; and DSLs for continuous time Markov chains and their applications in data science. After reading and using this book, you’ll understand how to write DSLs in R and have skills you can extrapolate to other programming languages.

What You'll Learn

  • Program with domain-specific languages using R
  • Discover the components of DSLs
  • Carry out large matrix expressions and multiplications 
  • Implement metaprogramming with DSLs
  • Parse and manipulate expressions 

Who This Book Is For

Those with prior programming experience. R knowledge is helpful but not required.  




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, Functional Programming in R and Metaprogramming in R with Apress as well as other books.     








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