Metaprogramming in R: Advanced Statistical Programming for Data Science, Analysis and Finance 1st ed. Edition [NulledPremium]

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Book details
File Size: 853 KB
Format: pdf
Print Length: 120 pages
Publisher: Apress; 1st ed. edition (June 1, 2017)
Publication Date: June 1, 2017
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B072M6RWRS

From the Back Cover

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.

You will:

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

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