Metaprogramming in R: Advanced Statistical Programming for Data Science, Analysis and Finance

✍ Scribed by Thomas Mailund (auth.)

• Publisher: Apress
• Year: 2017
• Tongue: English
• Leaves: 106
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xi
Anatomy of a Function....Pages 1-15
Inside a Function Call....Pages 17-33
Expressions and Environments....Pages 35-55
Manipulating Expressions....Pages 57-75
Working with Substitutions....Pages 77-97
Back Matter....Pages 99-103

✦ Subjects

Programming Techniques;Programming Languages, Compilers, Interpreters;Probability and Statistics in Computer Science