Book description
It’s much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You’ll learn methods for highlighting important relationships and trends, reducing data to simpler forms, and emphasizing key numbers at a glance.
Anyone who wants to analyze data will find something useful here—even if you don’t have a background in mathematics, statistics, or computer programming. If you want to examine data related to your work, this book is the ideal way to start.
Publisher resources
Table of contents
 Preface
 I. Getting Started with R
 1. R Basics
 2. An Overview of R Graphics
 II. SingleVariable Graphs
 3. Strip Charts
 4. Dot Charts
 5. Box Plots
 6. StemandLeaf Plots
 7. Histograms
 8. Kernel Density Plots
 9. Bar Plots (Bar Charts)
 10. Pie Charts
 11. Rug Plots
 III. TwoVariable Graphs
 12. Scatter Plots and Line Charts
 13. HighDensity Plots
 14. The BlandAltman Plot
 15. QQ Plots
 IV. Multivariable Graphs
 16. Scatter plot Matrices and Corrgrams
 17. ThreeDimensional Plots
 18. Coplots (Conditioning Plots)
 19. Clustering: Dendrograms and Heat Maps
 20. Mosaic Plots
 V. What Now?
 21. Resources for Extending Your Knowledge of Things Graphical and R Fluency
 A. References
 B. R Colors
 C. The R Commander Graphical User Interface
 D. Packages Used/Referenced
 E. Importing Data from Outside of R

F. Solutions to Chapter Exercises
 Exercises 11 Through 14
 Exercise 31
 Exercise 32
 Exercise 41
 Exercise 42
 Exercise 51
 Exercise 52
 Exercise 61
 Exercise 62
 Exercise 71
 Exercise 81
 Exercise 82
 Exercise 91
 Exercise 92
 Exercise 101
 Exercise 102
 Exercise 111
 Exercise 121
 Exercise 122
 Exercise 131
 Exercise 141
 Exercise 151
 Exercise 152
 Exercise 161
 Exercise 171
 Exercise 172
 Exercise 181
 Exercise 191
 Exercise 192
 Exercise 193
 Exercise 201
 Exercise 211

G. Troubleshooting: Why Doesn’t My Code Work?
 Misspelling
 Confusing Uppercase/Lowercase
 Too Few (or Too Many) Parenthesis Signs
 Forgetting to Load a Package
 Forgetting to Install a Package
 A Dataset in a Loaded Package Is Not Found
 Leaving Out a Comma
 CopyandPaste Error
 Directory Problems—Cannot Load a Saved File
 Missing File Extension
 Do Not Assume That All Packages Use the Same Argument Abbreviations
 Outdated Packages/Package Incompatibility
 H. R Functions Introduced in This Book
 Index
Product information
 Title: Graphing Data with R
 Author(s):
 Release date: October 2015
 Publisher(s): O'Reilly Media, Inc.
 ISBN: 9781491922613
You might also like
book
A Course in Statistics with R
Integrates the theory and applications of statistics using R A Course in Statistics with R has …
book
Advanced Statistics with Applications in R
Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and …
book
R Data Analysis Cookbook  Second Edition
Over 80 recipes to help you breeze through your data analysis projects using R About This …
book
R Data Mining
Mine valuable insights from your data using popular tools and techniques in R About This Book …