Items related to Beginning R: The Statistical Programming Language
Synopsis
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 R:
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Discusses how to implement some basic statistical methods such as the t-test, correlation, and tests of association
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Explains how to turn your graphs from merely adequate to simply stunning
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Provides you with the ability to define complex analytical situations
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Demonstrates ways to make and rearrange your data for easier analysis
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Covers how to carry out basic regression as well as complex model building and curvilinear regression
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Shows how to produce customized functions and simple scripts that can automate your workflow
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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
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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.
"About this title" may belong to another edition of this title.
- PublisherWrox
- Publication date2012
- ISBN 10 111816430X
- ISBN 13 9781118164303
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages504
- Rating
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Beginning R : The Statistical Programming Language
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Wiley & Sons, Incorporated, John, 2012
ISBN 10: 111816430X
ISBN 13: 9781118164303
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