Domain-Specific Languages in R : Advanced Statistical Programming / Thomas Mailund.
Mailund, Thomas, author.
2018
QA76.7
Available Online

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Title Domain-Specific Languages in R : Advanced Statistical Programming / Thomas Mailund.
Author Mailund, Thomas, author.
ISBN 9781484235881 (electronic book)
1484235886 (electronic book)
9781484235874
Published New York, NY : Springer Science and Business Media : Apress, 2018.
Language English
Description 1 online resource.
Call Number QA76.7
Dewey Decimal Classification 005.13
Summary 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 LearnProgram with domain-specific languages using RDiscover the components of DSLsCarry out large matrix expressions and multiplications Implement metaprogramming with DSLsParse and manipulate expressions Who This Book Is ForThose with prior programming experience. R knowledge is helpful but not required.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF file page (viewed June 27, 2018).
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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Intro; Table of Contents; About the Author; About the Technical Reviewer; Chapter 1: Introduction; Who This Book Is For; Domain-Specific Languages; Chapter 2: Matrix Expressions; Parsing Expressions; Meta-Programming Parsing; Expression Manipulation; Optimizing Multiplication; Expression Rewriting; Expression Evaluation; Chapter 3: Components of a Programming Language; Text, Tokens, Grammars, and Semantics; Specifying a Grammar; Designing Semantics; Chapter 4: Functions, Classes, and Operators; The S3 Object-Oriented Programming System; Objects and Classes; Generic Functions

Operator OverloadingGroup Generics; Precedence and Evaluation Order; Code Blocks; Chapter 5: Parsing and Manipulating Expressions; Quoting and Evaluating; Exploring Expressions; Manipulating Expressions; Chapter 6: Lambda Expressions; Anonymous functions; Experiments with Alternatives to the Syntax; Don't Do This at Home; Chapter 7: Environments and Expressions; Scopes and Environments; Default Parameters, Lazy Evaluation, and Promises; Quotes and Non-standard Evaluation; Chapter 8: Tidy Evaluation; Quosures; Quasi-quoting; Chapter 9: List Comprehension

Chapter 10: Continuous-Time Markov ChainsConstructing the Markov Chain; Constructing a Rate Matrix; Traces; Computing Likelihoods; Chapter 11: Pattern Matching; Constructors; Pattern Matching; Lists; Search Trees; Chapter 12: Dynamic Programming; Parsing Expressions; Evaluating Expressions; Fixing the Evaluation Environment; Chapter 13: Conclusion; References; Index

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