Domain-specific languages in R : advanced statistical programming
著者
書誌事項
Domain-specific languages in R : advanced statistical programming
（Books for professionals by professionals）
Apress, c2018
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注記
Includes bibliographical references (p. 249) and index
内容説明・目次
内容説明
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.
目次
1: Introduction
2: Matrix Expressions
3: Components of a 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
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