| 
                    
                    
                        The R Book, 3rd Edition
                     
                        Jones
                     
                        ISBN:
                    978-1-119-63432-4
                     
                        Hardcover
                     
			
                        1080 pages
                    
		 
                        February 2021
                     
			
                    Title in editorial stage
                
		 
                    
                 
                 
                 
			
				| 
                            
                                
                                        The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carrying out research.
 This edition introduces the advantages of the R environment, in a user-friendly format, to beginners and intermediate users in a range of disciplines, from science and engineering to medicine and economics. The format enables it to be either read as a text, or dipped-into as a reference manual.
   This third edition:   Uses RStudio, instead of native R, which provides a far more user-friendly environment for those new to RRevised to account for the evolution of R over the past seven years including new developments and modern teaching methodsTakes readers from a starting point of no knowledge of R or programming in general, and very little knowledge of statistics, through to advanced techniquesProvides a comprehensive introduction to most areas of statistics used by non-statisticians, with minimal mathematicsExplains concepts and how to implement them in R with in-depth discussion on how to interpret the resulting outputContains a large number of worked examples in RCompanion website available with downloadable datasets, slides and other teaching materialsIntroduces modern ideas in handling data in R, e.g. the tidyverse.Features full colour text and extensive graphics throughoutFeatures a fully revised and updated bibliography and reference section 
                             |  |