Beginning R
The Statistical Programming Language
By Mark Gardener
Publisher: Wiley / Wrox
Final Release Date: May 2012
Pages: 432

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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