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4.7
106 reviewsR is a powerful and free software system for data analysis and graphics, with over 5,000 add-on packages available. This book introduces R using SAS and SPSS terms with which you are already familiar. It demonstrates which of the add-on packages are most like SAS and SPSS and compares them to R's built-in functions. It steps through over 30 programs written in all three packages, comparing and contrasting the packages' differing approaches. The programs and practise datasets are available for download.
The glossary defines over 50 R terms using SAS/SPSS jargon and again using R jargon. The table of contents and the index allow you to find equivalent R functions by looking up both SAS statements and SPSS commands. When finished, you will be able to import data, manage and transform it, create publication-quality graphics, and perform basic statistical analyses.
This new edition has updated programming, an expanded index, and even more statistical methods covered in over 25 new sections.
"I found the book extremely helpful…The material is laid out in a way that makes it very accessible. Because of this, I recommend this book to any R user regardless of his or her familiarity with SAS or SPSS...For new R users, it will demystify many aspects, and for existing R users it will have many answers to those questions you have been too afraid to ask in public." - The American Statistician
"… an excellent introduction to R…the book meticulously covers data management, data structures, programming, graphics and basic statistical analysis in R. The prose is clear, and the examples are tied to their SPSS and SAS analogs. The handling of both traditional and newer “ggplot2” graphics is comprehensive: SPSS and SAS users will undoubtedly find lots to like. " - Information Management
"As a long time SAS user this book makes the task of transition to R much more palatable and appealing. It also greatly reduces the time to get up and running in R effectively." - Technometrics
“It is great to see this book in a second edition. It serves nicely as an introduction to R, irrespective of whether they are familiar with SAS or SPSS. I have long been a fan of programming by example and the book is full of excellent ones.” - Graham Williams, Author, Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery
