Statistical Analysis with R

More Information
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
About

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.

Features
  • An easy introduction for people who are new to R, with plenty of strong examples for you to work through
  • This book will take you on a journey to learn R as the strategist for an ancient Chinese kingdom!
  • A step by step guide to understand R, its benefits, and how to use it to maximize the impact of your data analysis
  • A practical guide to conduct and communicate your data analysis with R in the most effective manner

 

Page Count 300
Course Length 9 hours 0 minutes
ISBN 9781849512084
Date Of Publication 25 Oct 2010
Time for action – downloading and installing R
Time for action – issuing your first R command
Time for action – setting your R working directory
Summary
Deciphering Zhuge Liang's magic square
Time for action – solving the first 4x4 magic square
Summary
Time for action – importing external data
Time for action – creating and calling variables
Time for action – accessing data within variables
Time for action – manipulating variable data
Time for action – managing the R workspace
Summary
Time for action – making an initial inference from our data
Examining our data
Time for action – creating a subset from a large dataset
Time for action – deriving summary statistics
Time for action – quantifying categorical variables
Time for action – correlating variables
Regression
Time for action – modelling with simple linear regression
Time for action – modelling with multiple linear regression
Time for action – modelling interactions
Time for action – comparing and choosing models
Summary
Review of models
Predicting outcomes using regression models
Time for action – calculating outcomes from regression models
Time for action – creating custom functions
Time for action – creating resource-focused custom functions
Logistical considerations
Time for action – incorporating resource constraints into predictions
Assessing viability
Time for action – assessing the viability of potential strategies
Summary
Retracing and refining a complete analysis
Time for action – first steps
Time for action – data setup
Time for action – data exploration
Time for action – model development
Time for action – model deployment
Time for action – last steps
The common steps to all R analyses
Summary
Charts, graphs, and plots in R
Time for action – creating a bar chart
Time for action – customizing graphics
Time for action – creating a scatterplot
Time for action – creating a line chart
Time for action – creating a box plot
Time for action – creating a histogram
Time for action – creating a pie chart
Time for action – exporting graphics
Summary
More charts, graphs, and plots in R
Time for action – customizing a bar chart
Time for action – customizing a scatterplot
Time for action – customizing a line chart
Time for action – customizing a box plot
Time for action – customizing a histogram
Time for action – customizing a pie chart
Time for action – building a graphic
Time for action – building a graphic with multiple visuals
Summary
R's built-in resources
Time for action – using R's help function
Time for action – expanding R with packages
R's online resources
Summary

Authors

John M. Quick

He is an Educational Technology doctoral student at Arizona State University who is interested in the design, research, and use of educational innovations. Currently, his work focuses on mobile, game-based, and global learning, interactive mixed-reality systems, and innovation adoption. John's blog, which provides articles, tutorials, reviews, perspectives, and news relevant to technology and education, is available from http://www.johnmquick.com. In his spare time, John enjoys photography, nature, and travel.