Newcomers to R are often intimidated by the command-line interface, the vast number of functions and packages, or the processes of importing data and performing a simple statistical analysis. The R Primer provides a collection of concise examples and solutions to R problems frequently encountered by new users of this statistical software.
Rather than explore the many options available for every command as well as the ever-increasing number of packages, the book focuses on the basics of data preparation and analysis and gives examples that can be used as a starting point. The numerous examples illustrate a specific situation, topic, or problem, including data importing, data management, classical statistical analyses, and high-quality graphics production. Each example is self-contained and includes R code that can be run exactly as shown, enabling results from the book to be replicated. While base R is used throughout, other functions or packages are listed if they cover or extend the functionality.
After working through the examples found in this text, new users of R will be able to better handle data analysis and graphics applications in R. Additional topics and R code are available from the book’s supporting website at www.statistics.life.ku.dk/primer/
Importing data from other statistical software programs
"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
|Platform type||January 20, 2012||Link for Code and Extra Material||click on http://www.www.rprimer.dk|
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