Statistical Analysis with R

This guide uses an inventive role-playing approach to teaching the most effective data analysis techniques using R. Entertaining and involving, it comes with examples, screenshots, and code for fast learning.

Statistical Analysis with R

John M. Quick

This guide uses an inventive role-playing approach to teaching the most effective data analysis techniques using R. Entertaining and involving, it comes with examples, screenshots, and code for fast learning.
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Book Details

ISBN 139781849512084
Paperback300 pages

Book Description

R is a data analysis tool, graphical environment, and programming language. Without any prior experience in programming or statistical software, this book will help you quickly become a knowledgeable user of R. Now is the time to take control of your data and start producing superior statistical analysis with R.

This book will take you on a journey as the strategist for an ancient Chinese kingdom. Along the way, you will learn how to use R to arrive at practical solutions and how to effectively communicate your results. Ultimately, the fate of the kingdom depends on your ability to make informed, data-driven decisions with R.

You have unexpectedly been thrust into the role of lead strategist for the kingdom. After you install your predecessor's mysterious data analysis tool, you will begin to explore its fundamental elements. Next, you will use R to import and organize your data. Then, you will use functions and statistical analysis to arrive at potential courses of action. Subsequently, you will design your own functions to assess the practical impacts of your predictions. Lastly, you will focus on communicating your results through the use of charts, plots, graphs, and custom built visualizations. The fate of the kingdom is in your hands. Your rapid development as a master R strategist is the key to future success.

Table of Contents

What You Will Learn

  • Conduct superior data analysis in R
  • Organize and communicate data analysis
  • Generate, customize, and export detailed charts, plots, and graphs
  • Build your own custom data visualizations
  • Program in the R language
  • Create your own custom functions
  • Extend the functionality of R via external packages
  • Manage the R workspace and console
  • Import external data into R
  • Manipulate data using variables
  • Execute a wide array of multi-argument and variable-argument functions
  • Develop and employ predictive regression models
  • Assess the practical and statistical significance of predictions
  • Understand R, its benefits, and how to use it to maximize the impact of your data analyses

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Book Details

ISBN 139781849512084
Paperback300 pages
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