Metaprogramming in R: Advanced Statistical Programming for Data Science, Analysis and Finance
Metaprogramming in R: Advanced Statistical Programming for Data Science, Analysis and Finance By Thomas Mailund
English | PDF | 2017 | 106 Pages | ISBN : 1484228804 | 850 KB
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.
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
Look inside a function call
Work with R expressions and environments
Manipulate expressions in R
Use substitutions
Those with at least some experience with R and certainly for those with experience in other programming languages.