Statistical Analysis with R

Table of Contents

• Preface

• Chapter 1: Uncovering the Strategist's Data Analysis Tool
  • What is R?
  • What are the benefits of using R?
  • Why should I use R?
  • Why should I read this book?
  • What topics are covered in this book?
    • Chapter 2—Preparing R for Battle
    • Chapter 3—Exploring the Mysterious Data Analysis Tool
    • Chapter 4—Collecting and Organizing Information
    • Chapter 5—Assessing the Situation
    • Chapter 6—Planning the Attack
    • Chapter 7—Organizing the Battle Plans
    • Chapter 8—Briefing the Emperor
    • Chapter 9—Briefing the Generals
    • Chapter 10—Becoming a Master Strategist
  • Summary

• Chapter 2: Preparing R for Battle
  • Time for action – downloading and installing R
    • Example: R 2.11.1 Mac OS X 10.5+ installation wizard demonstration
  • Time for action – issuing your first R command
  • Time for action – setting your R working directory
  • Summary

• Chapter 3: Exploring the Mysterious Data Analysis Tool
  • Deciphering Zhuge Liang's magic square
  • Time for action – solving the first 4x4 magic square
    • Lines
    • Comments
    • Calculations
    • Output
    • Visualizing the R console
  • Summary

• Chapter 4: Collecting and Organizing Information
  • Time for action – importing external data
    • read.csv(file)
    • comma-separated values (csv) files
  • Time for action – creating and calling variables
  • Time for action – accessing data within variables
    • variable$column notation
    • attach(variable) function
    • variable[row, column] notation
  • Time for action – manipulating variable data
    • Performing a calculation on an entire dataset
    • Performing a calculation on a row, column, or cell
    • Using variable data in function arguments
    • Saving a variable calculation into a new variable
  • Time for action – managing the R workspace
    • Listing the contents of the R workspace
    • Saving the contents of the R workspace
    • Loading the contents of the R workspace
    • Quitting R
    • Distinguishing between the R console and workspace
    • Saving the R console
  • Summary

• Chapter 5: Assessing the Situation
  • Time for action – making an initial inference from our data
  • Examining our data
  • Time for action – creating a subset from a large dataset
    • Multi-argument functions
    • Variable-argument functions
    • Equivalency operators
    • subset(data, ...)
  • Time for action – deriving summary statistics
    • Means
    • Standard deviations
    • Ranges
    • summary(object)
    • Why use summary statistics?
  • Time for action – quantifying categorical variables
    • as.numeric(data)
    • Overwriting variables
  • Time for action – correlating variables
    • Interpreting correlations
    • cor(x, y)
    • cor(data)
    • NA values
  • Regression
  • Time for action – modelling with simple linear regression
    • lm(formula, data)
    • Linear model output
    • Linear model summary
    • Interpreting a linear regression model
  • Time for action – modelling with multiple linear regression
    • Interpreting the summary output
    • Explaining model differences
  • Time for action – modelling interactions
    • Interpreting interaction variables
  • Time for action – comparing and choosing models
    • Interpreting the model summaries
    • Interpreting the ANOVA results
  • anova(object, ...)

• Summary

• Chapter 6: Planning the Attack
  • Review of models
    • Head to head
    • Surround
    • Ambush
    • Fire
  • Predicting outcomes using regression models
    • Rating
    • Successfully executed
    • Number of Wei soldiers
    • Duration of battle
    • A word about assumptions
  • Time for action – calculating outcomes from regression models
  • Time for action – creating custom functions
    • function()
    • Extended lines
  • Time for action – creating resource-focused custom functions
  • Logistical considerations
    • Gold
    • Provisions
    • Equipment
    • Soldiers
    • Resource and cost summary
    • Resource map
  • Time for action – incorporating resource constraints into predictions
    • Gold cost function explanation
  • Assessing viability
  • Time for action – assessing the viability of potential strategies
    • Remember your assumptions
  • Summary

• Chapter 7: Organizing the Battle Plans
  • Retracing and refining a complete analysis
  • Time for action – first steps
  • Time for action – data setup
    • read.table(...)
  • Time for action – data exploration
  • Time for action – model development
    • glm(...)
    • AIC(object, ...)
  • Time for action – model deployment
    • coef(object)
  • Time for action – last steps
  • The common steps to all R analyses
    • Step 1: Set your working directory
      • Comment your work
    • Step 2: Import your data (or load an existing workspace)
    • Step 3: Explore your data
    • Step 4: Conduct your analysis
    • Step 5: Save your workspace and console files
  • Summary

• Chapter 8: Briefing the Emperor
  • Charts, graphs, and plots in R
  • Time for action – creating a bar chart
    • barplot(...)
    • Vectors
    • Graphic window
  • Time for action – customizing graphics
    • Graphic customization arguments
      • main, xlab, and ylab
      • xlim and ylim
      • Col
    • legend(...)
  • Time for action – creating a scatterplot
    • Single scatterplot
    • Multiple scatterplots
  • Time for action – creating a line chart
    • type
    • Number-colon-number notation
  • Time for action – creating a box plot
    • boxplot(...)
  • Time for action – creating a histogram
    • hist(...)
  • Time for action – creating a pie chart
    • pie(...)
  • Time for action – exporting graphics
  • Summary

• Chapter 9: Briefing the Generals
  • More charts, graphs, and plots in R
  • Time for action – customizing a bar chart
    • names
    • width and space
    • horiz
    • beside
    • density and angle
    • legend(...) with density, angle, and cex
  • Time for action – customizing a scatterplot
    • pch and cex
    • points(...)
    • legend(...)
    • abline(...)
  • Time for action – customizing a line chart
    • lwd
    • lines(...)
    • legend(...)
  • Time for action – customizing a box plot
    • range
    • axis(...)
  • Time for action – customizing a histogram
    • breaks
    • freq
  • Time for action – customizing a pie chart
    • Custom labels
    • legend(...)
  • Time for action – building a graphic
  • Time for action – building a graphic with multiple visuals
    • par(mfcol)
    • Graphics
      • Horizontal and vertical lines
      • Nested functions
  • Summary

• Chapter 10: Becoming a Master Strategist
  • R's built-in resources
  • Time for action – using R's help function
    • help(...)
  • Time for action – expanding R with packages
    • Choose a CRAN mirror
    • Install a package
    • Load the package
    • Use the package
  • R's online resources
    • Websites
      • The R Project for Statistical Computing
      • Quick-R
      • R Programming wikibook
      • R Graph Gallery
      • Crantastic!
    • Blogs
      • R bloggers
      • R Tutorial Series
    • Online communities
      • R-help mailing list
      • Other mailing lists
    • Search engines
      • R Seek
      • Google
  • Summary

• Appendix: Pop Quiz Answer Key
  • Chapter 2
  • Chapter 3
  • Chapter 4
  • Chapter 5
  • Chapter 6
  • Chapter 7
  • Chapter 8
  • Chapter 9
  • Chapter 10

• Index

John M. Quick

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