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Advanced R summary
Brief summary
Advanced R by Hadley Wickham is a comprehensive guide to the programming language R. It delves into advanced topics such as functional programming, debugging, and performance tuning, providing valuable insights for experienced R users.
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Table of Contents
Advanced R
Summary of key ideas
Deep Dive into R Programming
In Advanced R by Hadley Wickham, we embark on a journey to explore the inner workings of R programming. The book begins with an introduction to R, its primary data structures, and the concept of object-oriented programming. It also delves into the fundamental concepts of R, such as vectors, matrices, and lists, and how they are manipulated and accessed in R.
Wickham then moves on to discuss functions and environments in R. He explains how R functions are first-class objects and how they can be passed around as arguments. Additionally, he explores the concept of lexical scoping and the environment in which a function is defined, providing a deep understanding of R's functional programming capabilities.
Understanding the Condition System and Functional Programming
The book further elucidates the condition system in R, which handles messages, warnings, and errors. Wickham explains how these conditions are created, signalled, and handled, providing a comprehensive understanding of how to manage exceptions and errors in R.
Next, Advanced R delves into the world of functional programming, a paradigm that treats computation as the evaluation of mathematical functions and avoids changing-state and mutable data. Wickham explains the concept of higher-order functions and demonstrates how to use functional programming tools in R to write more expressive and efficient code.
Object-Oriented Programming in R
After the functional programming paradigm, the book transitions to object-oriented programming (OOP) in R. Wickham provides an in-depth explanation of the three OOP systems in R: S3, S4, and R6. He discusses their strengths, weaknesses, and best use cases, allowing readers to choose the most appropriate system for their programming needs.
Wickham also explores the concept of metaprogramming in R, which involves writing code that manipulates or generates other code. He introduces the concept of expressions, quasiquotation, and the tidy evaluation framework, providing a powerful toolkit for writing code that writes code.
Optimization and Debugging in R
The latter part of Advanced R focuses on optimization and debugging techniques in R. Wickham discusses various strategies for identifying and removing performance bottlenecks in R code. He emphasizes the importance of profiling tools and benchmarking to measure and improve the performance of R programs.
Additionally, the book provides comprehensive guidance on debugging R code, covering topics such as error handling, interactive debugging, and defensive programming. These skills are crucial for maintaining and troubleshooting complex R programs.
Wrapping Up and Looking Ahead
In conclusion, Advanced R by Hadley Wickham is a comprehensive guide that takes readers deep into the inner workings of the R programming language. By understanding R's fundamental principles, programming paradigms, and advanced features, readers can write more efficient, robust, and expressive code in R.
As we wrap up our journey through Advanced R, it's important to note that the book provides a solid foundation for mastering R programming. However, the field of programming is dynamic, and new tools and techniques may emerge. Therefore, readers are encouraged to stay curious and continue exploring the ever-evolving world of R programming.
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What is Advanced R about?
Advanced R by Hadley Wickham is a comprehensive guide that delves into the inner workings of the R programming language. It covers advanced topics such as functional programming, object-oriented programming, and metaprogramming, providing a deep understanding of how to write efficient and elegant code in R. This book is a must-read for anyone looking to take their R skills to the next level.
Advanced R Review
Advanced R by Hadley Wickham (2014) is a comprehensive guide for mastering the R programming language. Here's why this book is a valuable resource:
- Explains complex concepts in a clear, understandable manner, making advanced topics accessible to readers of all skill levels.
- Offers practical examples and exercises to reinforce learning, allowing readers to apply theoretical knowledge in real-world scenarios.
- Includes cutting-edge techniques and best practices for efficient and effective R programming, ensuring readers stay engaged and informed throughout.
Who should read Advanced R?
Experienced R programmers who want to deepen their understanding of the language
Programmers experienced in other languages who want to understand the unique features of R
Data scientists and statisticians who use R for data analysis and want to improve their programming skills
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Advanced R FAQs
What is the main message of Advanced R?
The main message of Advanced R is mastering R programming concepts for advanced users.
How long does it take to read Advanced R?
Reading Advanced R takes several hours, while the Blinkist summary can be read in a few minutes.
Is Advanced R a good book? Is it worth reading?
Advanced R is a must-read for those aiming to enhance their R skills efficiently.
Who is the author of Advanced R?
Hadley Wickham is the author of Advanced R.
What to read after Advanced R?
If you're wondering what to read next after Advanced R, here are some recommendations we suggest:
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- Physics of the Future by Michio Kaku
- On Intelligence by Jeff Hawkins and Sandra Blakeslee
- Brave New War by John Robb
- Abundance# by Peter H. Diamandis and Steven Kotler
- The Signal and the Noise by Nate Silver
- You Are Not a Gadget by Jaron Lanier
- The Future of the Mind by Michio Kaku
- The Second Machine Age by Erik Brynjolfsson and Andrew McAfee
- Out of Control by Kevin Kelly