R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.
This book takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anonymous functions. No statistical knowledge is required, and your programming skills can range from hobbyist to pro.
| Pages : | 616 pages |
| Size : | |
| Downloads: | 7 |
| Created: | 2020-08-29 |
| License: | CC BY-SA 4.0 |
| Author(s): | Daniel Navarro |
Warning: Trying to access array offset on false in /home/tutovnfz/public_html/amp/article-amp.php on line 263
Others related eBooks about Learning Statistics with R
Download free course Rational Cybersecurity for Business, pdf file on 349 pages by Dan Blum.
This Open Access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Karlsruhe, October 23-24, 2018.
Download a free course in PDF about Perl programming language, a complet training document under 120 pages by Geoffrey Sampson.
Download Cryptography and network security PDF tutorial by Chandraskhar Rao intended to Bachelor of Technology in Computer Science and Engineering.
Download free React JS tutorial course in PDF, training file in 31 chapters and 110 pages. Free unaffiliated ebook created from Stack OverFlow contributor.