Domain-Specific Languages in R: Advanced Statistical Programming

Domain-Specific Languages in R: Advanced Statistical Programming
by: Thomas Mailund
ISBN-10: 1484235878
ISBN-13: 9781484235874
Edition 版本:‏ 1st ed.
Released: 2018-10-02
Pages: 257
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
Who This Book Is For
Those with prior programming experience. R knowledge is helpful but not required.
Cover
Frontmatter
1. Introduction
2. Matrix Expressions
3. Components ofa Programming Language
4. Functions,Classes,and Operators
5. Parsing and Manipulating Expressions
6. Lambda Expressions
7. Environments and Expressions
8. Tidy Evaluation
9. List Comprehension
10. Continuous-Time Markov Chains
11. Pattern Matching
12. Dynamic Programming
13. Conclusion