Ebook: Advanced R Solutions
Author: Malte Grosser, Henning Bumann, Hadley Wickham
"I learned a lot working through their solutions -- it's a great way to broaden and deepen your understanding of R. (I should probably go through it again...)"
- Greg Wilson, RStudio
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
- Greg Wilson, RStudio
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
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