
Functional Programming in R 4
Advanced Statistical Programming for Data Science, Analysis, and Finance
- Publisher's listprice EUR 58.84
-
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. 4 992 Ft off)
- Discounted price 19 968 Ft (19 017 Ft + 5% VAT)
24 959 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 2nd ed.
- Publisher Apress
- Date of Publication 9 June 2023
- Number of Volumes 1 pieces, Book
- ISBN 9781484294864
- Binding Paperback
- No. of pages158 pages
- Size 235x155 mm
- Weight 273 g
- Language English
- Illustrations 17 Illustrations, black & white 510
Categories
Short description:
- Write functions in R 4, including infix operators and replacement functions
- Create higher order functions
- Pass functions to other functions and start using functions as data you can manipulate
- Use Filer, Map and Reduce functions to express the intent behind code clearly and safely
- Build new functions from existing functions without necessarily writing any new functions, using point-free programming
- Create functions that carry data along with them
Long description:
- Write functions in R 4, including infix operators and replacement functions
- Create higher order functions
- Pass functions to other functions and start using functions as data you can manipulate
- Use Filer, Map and Reduce functions to express the intent behind code clearly and safely
- Build new functions from existing functions without necessarily writing any new functions, using point-free programming
- Create functions that carry data along with them
More
Table of Contents:

Functional Programming in R 4: Advanced Statistical Programming for Data Science, Analysis, and Finance
Subcribe now and receive a favourable price.
Subscribe
24 959 HUF