Domain-Specific Languages In R: Advanced Statistical Programming

Gain an accelerated introduction to domain-specific languages in R, including coverage of regular expressions. This compact, in-depth book shows you how DSLs are programming languages specialized for a particular purpose, as opposed to general purpose programming languages. Along the way, you’ll learn to specify tasks you want to do in a precise way and achieve programming goals within a domain-specific context. Domain-Specific Languages in R includes examples of DSLs including large data sets or matrix multiplication; pattern matching DSLs for application in computer vision; and DSLs for continuous time Markov chains and their applications in data science. After reading and using this book, you’ll understand how to write DSLs in R and have skills you can extrapolate to other programming languages. What You'll Learn Program with domain-specific languages using R Discover the components of DSLs Carry out large matrix expressions and multiplications Implement metaprogramming with DSLs Parse and manipulate expressions Define text strings to search for or specify rules for modifying text using regular expressions Use continuous time Markov chains (CTMCs) Who This Book Is For Those with prior programming experience. R knowledge is helpful but not required.

• | Author: Thomas Mailund
• | Publisher: Apress
• | Publication Date: Jun 24, 2018
• | Number of Pages: 266 pages
• | Language: English
• | Binding: Paperback/Computers
• | ISBN-10: 1484235878
• | ISBN-13: 9781484235874