Advanced R Solutions
Series: Chapman & Hall/CRC The R Series;
- Publisher's listprice GBP 42.99
-
20 538 Ft (19 560 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 20% (cc. 4 108 Ft off)
- Discounted price 16 430 Ft (15 648 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
20 538 Ft
Availability
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher Chapman and Hall
- Date of Publication 24 August 2021
- ISBN 9781032007496
- Binding Paperback
- No. of pages302 pages
- Size 234x156 mm
- Weight 420 g
- Language English
- Illustrations 13 Illustrations, black & white; 10 Illustrations, color; 13 Line drawings, black & white; 10 Line drawings, color 190
Categories
Short description:
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.
MoreLong description:
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
"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
More
Table of Contents:
Part I Foundations
2. Names and values
3. Vectors
4. Subsetting
5. Control Flow
6. Functions
7. Environments
8. Conditions
Part II Funtional Programming
9. Functionals
10. Function Factories
11. Function Operators
Part III Object oriented programming
13. S3
14. R6
15. S4
Part IV Metaprogramming
18. Expressions
19. Quasiquotation
20. Evaluation
21. Translating R Code
Part V Techniques
23. Measuring Performance
24. Improving Performance
25. Rewriting R code in C++
