|Amazon Price||New from||Used from|
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.
Discusses how to implement some basic statistical methods such as the t-test, correlation, and tests of association
Explains how to turn your graphs from merely adequate to simply stunning
Provides you with the ability to define complex analytical situations
Demonstrates ways to make and rearrange your data for easier analysis
Covers how to carry out basic regression as well as complex model building and curvilinear regression
Shows how to produce customized functions and simple scripts that can automate your workflow
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.
Take advantage of free code samples from this book, as well as code samples from hundreds of other books, all ready to use.
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
Dr. Mark Gardener is an ecologist, lecturer, and writer working in the UK. He is currently self-employed and runs courses in ecology, data analysis, and R for a variety of organizations.