- Statistical Analysis with R
- Table of Contents
- Statistical Analysis with R
- Credits
- About the Author
- About the Reviewers
- Preface
- 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
- 2. Preparing R for Battle
- 3. Exploring the Mysterious Data Analysis Tool
- 4. Collecting and Organizing Information
- 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
- 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
- 6. Planning the Attack
- 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
- 7. Organizing the Battle Plans
- 8. Briefing the Emperor
- 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
- What just happened
- pie(...)
- Pop quiz
- Have a go hero
- Time for action - exporting graphics
- Summary
- 9. Briefing the Generals
- 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
- 10. Becoming a Master Strategist
- A. Pop Quiz Answer Key
- Index
- In the
pie(...)function, what do thexandlabelsarguments represent?a.
labelsrepresents the slice's numerical values, whereasxrepresents the slice's text labels.b.
xrepresents the slice's numerical values, whereaslabelsrepresents the slice's text labels.c.
labelsrepresents the slice's text values, whereasxrepresents the slice's numerical labels.d.
xrepresents the slice's text values, whereaslabelsrepresents the slice's numerical labels.
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