| Description |
1 online resource |
| Series |
Chapman & Hall/CRC the R series |
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Chapman & Hall/CRC the R series (CRC Press)
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| Contents |
I. Foundations -- 2. Names and values -- 2.2. Binding basics -- 2.3. Copy-on-modify -- 2.4. Object size -- 2.5. Modify-in-place -- 3. Vectors -- 3.2. Atomic vectors -- 3.3. Attributes -- 3.4. S3 atomic vectors -- 3.5. Lists -- 3.6. Data frames and tibbles -- 4. Subsetting -- 4.2. Selecting multiple elements -- 4.3. Selecting a single element -- 4.5. Applications -- 5. Control flow -- 5.2. Choices -- 5.3. Loops -- 6. Functions -- 6.2. Function fundamentals -- 6.4. Lexical scoping |
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6.5. Lazy evaluation -- 6.6. ... (dot-dot-dot) -- 6.7. Exiting a function -- 6.8. Function forms -- 7. Environments -- 7.2. Environment basics -- 7.3. Recursing over environments -- 7.4. Special environments -- 7.5. Call stacks -- 8. Conditions -- 8.2. Signalling conditions -- 8.4. Handling conditions -- 8.5. Custom conditions -- 8.6. Applications -- II. Functional programming -- 9. Functionals -- 9.2. My first functional: map() -- 9.4. Map variants -- 9.6. Predicate functionals -- 9.7. Base functionals -- 10. Function factories -- 10.2. Factory fundamentals -- 10.3. Graphical factories |
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10.4. Statistical factories -- 10.5. Function factories + functionals -- 11. Function operators -- 11.2. Existing function operators -- 11.3. Case study: Creating your own function operators -- III. Object-oriented programming -- 13. S3 -- 13.2. Basics -- 13.3. Classes -- 13.4. Generics and methods -- 13.5. Object styles -- 13.6. Inheritance -- 13.7. Dispatch details -- 14. R6 -- 14.2. Classes and methods -- 14.3. Controlling access -- 14.4. Reference semantics -- 15. S4 -- 15.2. Basics -- 15.3. Classes -- 15.4. Generics and methods -- 15.5. Method dispatch -- 15.6. S4 and S3 |
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IV. Metaprogramming -- 18. Expressions -- 18.2. Abstract syntax trees -- 18.3. Expressions -- 18.4. Parsing and grammar -- 18.5. Walking AST with recursive functions -- 19. Quasiquotation -- 19.2. Motivation -- 19.3. Quoting -- 19.4. Unquoting -- 19.6. ... (dot-dot-dot) -- 19.7. Case studies -- 20. Evaluation -- 20.2. Evaluation basics -- 20.3. Quosures -- 20.4. Data masks -- 20.5. Using tidy evaluation -- 20.6. Base evaluation -- 21. Translating R code -- 21.2. HTML -- 21.3. LaTeX -- V. Techniques -- 23. Measuring performance -- 23.2. Profiling -- 23.3. Microbenchmarking |
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24. Improving performance -- 24.3. Checking for existing solutions -- 24.4. Doing as little as possible -- 24.5. Vectorise -- 25. Rewriting R code in C++ -- 25.2. Getting started with C++ -- 25.4. Missing values -- 25.5. Standard Template Library -- Bibliography |
| Summary |
This book offers solutions to all 284 exercises in Advanced R, Second Edition. All the solutions have been carefully documented and made to be as clear and accessible as possible. Working through the exercises and their solutions will give you a deeper understanding of a variety of programming challenges, many of which are relevant to everyday work. This will expand your set of tools on a technical and conceptual level. You will be able to transfer many of the specific programming schemes directly and will discover far more elegant solutions to everyday problems. Features: When R creates copies, and how it affects memory usage and code performance Everything you could ever want to know about functions The differences between calling and exiting handlers How to employ functional programming to solve modular tasks The motivation, mechanics, usage, and limitations of R's highly pragmatic S3 OO system The R6 OO system, which is more like OO programming in other languages The rules that R uses to parse and evaluate expressions How to use metaprogramming to generate HTML or LaTeX with elegant R code How to identify and resolve performance bottlenecks |
| Notes |
Online resource; title from digital title page (viewed on September 16, 2021) |
| Subject |
R (Computer program language)
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Mathematical statistics.
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BUSINESS & ECONOMICS -- Statistics.
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MATHEMATICS -- Probability & Statistics -- Regression Analysis.
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COMPUTERS -- Mathematical & Statistical Software.
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Mathematical statistics
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R (Computer program language)
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| Form |
Electronic book
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| Author |
Bumann, Henning, author
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Wickham, Hadley, author.
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| ISBN |
9781000409079 |
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1000409074 |
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9781000409093 |
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1000409090 |
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9781003175414 |
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1003175414 |
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