"A ‘primer’ is supposed to be a book that covers very elementary needs. This book does so in a quite special way: It provides 142 problems with solutions, called ‘rules’ … The book efficiently addresses the many impediments against simply ‘go do it’ for people who have already done statistical analyses with software other than R and want to quickly learn how to do the same things in R. … Do I consider this book worth reading/buying? Yes I do! … [it provides] a collection of useful starting points on how to accomplish practically relevant tasks for applied statistics in R."
—Ulrike Grömping, Journal of Statistical Software, January 2013
… contains a number of interesting self-contained examples, each illustrating a specific situation. One of the salient features is that it covers importing data, handling data, and creating graphics. … Valuable for readers interested in solving statistical problems using R. Summing Up: Recommended.
—CHOICE Magazine, April 2012
"This book provides a good introduction to R, using a clear layout and detailed, reproducible examples. An ideal tool for any new R user. … A wide range of topics are covered, making the book suitable for a variety of readers, from undergraduate students to professionals new to R. … an extremely helpful introduction to a very useful statistical package."
—Claire Keeble, Journal of Applied Statistics, 2012
"… a nice starting point for learning R, and suitable for self-study provided the reader has some background in statistics."
—Olle Häggström, International Statistical Review, 2012
"A ‘primer’ is supposed to be a book that covers very elementary needs. This book does so in a quite special way: It provides 142 problems with solutions, called ‘rules’ … The book efficiently addresses the many impediments against simply ‘go do it’ for people who have already done statistical analyses with software other than R and want to quickly learn how to do the same things in R. … Do I consider this book worth reading/buying? Yes I do! … [it provides] a collection of useful starting points on how to accomplish practically relevant tasks for applied statistics in R."
—Ulrike Grömping, Journal of Statistical Software, January 2013
… contains a number of interesting self-contained examples, each illustrating a specific situation. One of the salient features is that it covers importing data, handling data, and creating graphics. … Valuable for readers interested in solving statistical problems using R. Summing Up: Recommended.
—CHOICE Magazine, April 2012
"This book provides a good introduction to R, using a clear layout and detailed, reproducible examples. An ideal tool for any new R user. … A wide range of topics are covered, making the book suitable for a variety of readers, from undergraduate students to professionals new to R. … an extremely helpful introduction to a very useful statistical package."
—Claire Keeble, Journal of Applied Statistics, 2012
"… a nice starting point for learning R, and suitable for self-study provided the reader has some background in statistics."
—Olle Häggström, International Statistical Review, 2012
