Domain-Specific Languages in R: Advanced Statistical Programming

Author:   Thomas Mailund
Publisher:   APress
Edition:   1st ed.
ISBN:  

9781484235874


Pages:   257
Publication Date:   24 June 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Domain-Specific Languages in R: Advanced Statistical Programming


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Overview

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.

Full Product Details

Author:   Thomas Mailund
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   4.102kg
ISBN:  

9781484235874


ISBN 10:   1484235878
Pages:   257
Publication Date:   24 June 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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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Author Information

Thomas Mailund is an associate professor in bioinformatics at Aarhus University, Denmark. He has a background in math and computer science. For the last decade, his main focus has been on genetics and evolutionary studies, particularly comparative genomics, speciation, and gene flow between emerging species. He has published Beginning Data Science in R, Functional Programming in R and Metaprogramming in R with Apress as well as other books.

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