Beginning R: The Statistical Programming Language (Wrox Programmer to Programmer) - Softcover

Gardener, Mark

Softcover

ISBN 10: 111816430X ISBN 13: 9781118164303

Publisher: Wrox, 2012

Synopsis

Paperback. Pub Date: 2012 Pages: 504 Publisher: Wrox Conquer the Complexities of this Open Source the Statistical languageR is fast Becoming the de facto standard for Statistical Computing and Analysis in science. Business Engineering and related fields This book examines the this complex language using simple statistical examples. showing how R operates in a user-friendly context. Both students and workers in fields that require extensive statistical analysis will find this book helpful as they learn to use R for simple summary statistics. hypothesis testing. creating graphs. regression. and much more. It covers formula notation. complex statistics. manipulating data and extracting components. and rudimentary programming.R. the open source statistical language increasingly used to handle statistics and produces publication-quality graphs. is notoriously complex This book ma...

About this title

From the Back Cover

Gain better insight into your data using the power of R

While R is very flexible and powerful, it is unlike most of thecomputer programs you have used. In order to unlock its fullpotential, this book delves into the language, making it accessibleso you can tackle even the most complex of data analysis tasks.Simple data examples are integrated throughout so you can explorethe capabilities and versatility of R. Along the way, you'll alsolearn how to carry out a range of commonly used statisticalmethods, including Analysis of Variance and Linear Regression. Bythe end, you'll be able to effectively and efficiently analyze yourdata and present the results.

Beginning R:

• Discusses how to implement some basic statistical methods suchas the t-test, correlation, and tests of association

• Explains how to turn your graphs from merely adequate to simplystunning

• Provides you with the ability to define complex analyticalsituations

• Demonstrates ways to make and rearrange your data for easieranalysis

• Covers how to carry out basic regression as well as complexmodel building and curvilinear regression

• Shows how to produce customized functions and simple scriptsthat can automate your workflow

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About the Author

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.

Edition details

• Publisher: Wrox
• Publication date: 2012
• ISBN 10: 111816430X
• ISBN 13: 9781118164303
• Binding: Paperback
• Language: English
• Edition number: 1
• Number of pages: 504