Metaprogramming in R

Advanced Statistical Programming for Data Science, Analysis and Finance

Nonfiction, Computers, Programming, Programming Languages, General Computing
Cover of the book Metaprogramming in R by Thomas Mailund, Apress
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Author: Thomas Mailund ISBN: 9781484228814
Publisher: Apress Publication: June 1, 2017
Imprint: Apress Language: English
Author: Thomas Mailund
ISBN: 9781484228814
Publisher: Apress
Publication: June 1, 2017
Imprint: Apress
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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