Verleger: Packt Publishing
R for Data Science. Learn and explore the fundamentals of data science with R
Toomey
Jaynal Abedin, Hrishi V. Mittal
Aloysius Shao Qin Lim, Tjhi W Chandra
Dr. Sunil Kumar Chinnamgari
R: Mining spatial, text, web, and social media data. Create and customize data mining algorithms
Richard Heimann, Nathan H. Danneman, Pradeepta Mishra,...
R: Predictive Analysis. Master the art of predictive modeling
Tony Fischetti, Eric Mayor
R Programming By Example. Practical, hands-on projects to help you get started with R
Omar Trejo Navarro
R Programming Fundamentals. Deal with data using various modeling techniques
Kaelen Medeiros
Yu-Wei, Chiu (David Chiu), Atmajitsinh Gohil, Shanthi...
R Statistics Cookbook. Over 100 recipes for performing complex statistical operations with R 3.5
Francisco Juretig
R: Unleash Machine Learning Techniques. Smarter data analytics
Dipanjan Sarkar, Brett Lantz, Raghav Bali, Cory...
R Web Scraping Quick Start Guide. Techniques and tools to crawl and scrape data from websites
Olgun Aydin
Sigismondo Boschi, Gabriele Santomaggio
Lovisa Johansson, David Dossot
Denis Rothman
Andrey Koleshko
Rancher Deep Dive. Manage enterprise Kubernetes seamlessly with Rancher
Matthew Mattox