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

by Thomas Mailund

Overview

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.

Product Details

ISBN-13:	9781484228814
Publisher:	Apress
Publication date:	06/01/2017
Sold by:	Barnes & Noble
Format:	eBook
Pages:	103
File size:	322 KB

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.  

Table of Contents

1. Anatomy of a Function2. Inside a Function-Call3. Expressions and Environments4. Manipulating Expressions 5. Working with Substitutions