Domain-Specific Languages in R
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Domain-Specific Languages in R

Advanced Statistical Programming
Thomas Mailund
Apress
 eBook
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ISBN-13:
9781484235881
Veröffentl:
2018
Einband:
eBook
Seiten:
257
Autor:
Thomas Mailund
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Systemvoraussetzungen
Beschreibung:

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 LearnProgram with domain-specific languages using RDiscover the components of DSLsCarry out large matrix expressions and multiplications Implement metaprogramming with DSLsParse and manipulate expressions Who This Book Is ForThose with prior programming experience. R knowledge is helpful but not required.  

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.  



1. Introduction.- 2. Matrix expressions.- 3. Components of a programming language.- 4. Functions, classes and operators.- 5. Parsing and manipulating expressions.- 6. Lambda expressions.- 7. Environments and Expressions.- 8. Tidy evaluation.- 9. List comprehension.- 10. Continuous-Time Markov chains.- 11. Pattern matching.- 12. Dynamic programming.- 13. Conclusion.

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