Beginning R: The Statistical Programming Language

by Mark Gardener

Gain better insight into your data using the power of R While R is very flexible and powerful, it is unlike most of the computer programs you have used. In order to unlock its full potential, this book delves into the language, making it accessible so you can tackle even the most complex of data analysis tasks. Simple data examples are integrated throughout so you can explore the capabilities and versatility of R. Along the way, you'll also learn how to carry out a range of commonly used statistical methods, including Analysis of Variance and Linear Regression. By the end, you'll be able to effectively and efficiently analyze your data and present the results. Beginning wrox.com Programmer Forums Join our Programmer to Programmer forums to ask and answer programming questions about this book, join discussions on the hottest topics in the industry, and connect with fellow programmers from around the world. Code Downloads Take advantage of free code samples from this book, as well as code samples from hundreds of other books, all ready to use. Read More Find articles, ebooks, sample chapters and tables of contents for hundreds of books, and more reference resources on programming topics that matter to you. Wrox Beginning guides are crafted to make learning programming languages and technologies easier than you think, providing a structured, tutorial format that guides you through all the techniques involved. Visit the Beginning R website at www.wrox.com/go/beginningr

Genres: Programming

504 pages, Paperback

First published May 22, 2012

Reviews

[Arun Mahendrakar · Rating 5 out of 5]

Beginning R is a very good book to learn R. It does one thing and one thing very well - how to do data analysis in R. You need some mathematics and statistics background understand why you are doing ANOVA, for example, and how to interpret its results. But then again, expecting one book to do all is not realistic. The book promises to teach R and as mentioned above, it does it pretty well.

I found the chapters on ANOVA, Regression, and graphs more informative when compared with other similar books.

Most part of the book uses native functions of R. This simplifies the learning process and doesn't overwhelm the user with installation of the plethora of CRAN packages.

I think this can be your first book on R and I for sure learned a few more things in R.

[David · Rating 4 out of 5]

This was an excellent book for anyone who has no background knowledge of computer programming, but who wants to learn R. I learned a ton about R through this book, and would recommend it to anyone.