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Advanced R Solutions
«
"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"Advance R Solutions is a great educational resource that I can recommend to my students. [. . . ] Advanced R, 2nd Edition and the new Advanced R Solutions constitute a dynamic duo for advancing my student’s knowledge in an orderly manner.
[. . .] I would say that if you’re a data scientists who uses R, then Advanced R Solutions should be part of your professional library. Taking some time to explore the various solutions and expand on them with your own experiments, will only help you hone your skills and increase your knowledge. R is a great programming environment that I enjoy on a daily basis. Having yet another resource like this for deepening my knowledge can only lead to good things."
»
– insideBIGDATA, Daniel D. Gutierrez
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. Les mer
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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
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
Detaljer
- Forlag
- Chapman & Hall/CRC
- Innbinding
- Innbundet
- Språk
- Engelsk
- Sider
- 286
- ISBN
- 9781032007502
- Utgivelsesår
- 2021
- Format
- 23 x 16 cm
Anmeldelser
«
"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"Advance R Solutions is a great educational resource that I can recommend to my students. [. . . ] Advanced R, 2nd Edition and the new Advanced R Solutions constitute a dynamic duo for advancing my student’s knowledge in an orderly manner.
[. . .] I would say that if you’re a data scientists who uses R, then Advanced R Solutions should be part of your professional library. Taking some time to explore the various solutions and expand on them with your own experiments, will only help you hone your skills and increase your knowledge. R is a great programming environment that I enjoy on a daily basis. Having yet another resource like this for deepening my knowledge can only lead to good things."
»
– insideBIGDATA, Daniel D. Gutierrez
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