Beginning R the statistical programming language
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: -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.
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| Format: | Texto biblioteca |
| Language: | eng |
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Indianapolis, Indiana John Wiley and Sons
c201
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| Subjects: | R (Lenguaje de programación para computadora), Métodos estadísticos, Procesamiento de datos, Lenguajes de programación (Computadores electrónicos), |
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