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Graphing Data with R: An Introduction
Год издания: 2015
Автор: John Jay Hilfiger
Жанр или тематика: Программирование
Издательство: O'Reilly Media
ISBN: 9781491922613
Язык: Английский
Формат: PDF
Качество: Издательский макет или текст (eBook)
Интерактивное оглавление: Да
Количество страниц: 336
Описание: 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.
 Get started with R by learning basic commands
 Build single variable graphs, such as dot and pie charts, box plots, and histograms
 Explore the relationship between two quantitative variables with scatter plots, highdensity plots, and other techniques
 Use scatterplot matrices, 3D plots, clustering, heat maps, and other graphs to visualize relationships among three or more variables
Оглавление
Getting Started with R
Chapter 1R Basics
Downloading the Software
Try Some Simple Tasks
User Interface
Installing a Package: A GUI Interface
Data Structures
Sample Datasets
The Working Directory
Putting Data into R
Sourcing a Script
UserWritten Functions
A Taste of Things to Come
Chapter 2An Overview of R Graphics
Exporting a Graph
Exploratory Graphs and Presentation Graphs
Graphics Systems in R
SingleVariable Graphs
Chapter 3Strip Charts
A Simple Graph
Data Can Be Beautiful
Chapter 4Dot Charts
Basic Dot Chart
Exercise 41
Chapter 5Box Plots
The Box Plot
Nimrod Again
Making the Data Beautiful
Chapter 6StemandLeaf Plots
Basic StemandLeaf Plot
Exercise 61
Chapter 7Histograms
Simple Histograms
Histograms with a Second Variable
Chapter 8Kernel Density Plots
Density Estimation
The Cumulative Distribution Function
Chapter 9Bar Plots (Bar Charts)
Basic Bar Plot
Spine Plot
Bar Spacing and Orientation
Chapter 10Pie Charts
Ordinary Pie Chart
Fan Plot
Chapter 11Rug Plots
The Rug Plot
Exercise 111
TwoVariable Graphs
Chapter 12Scatter Plots and Line Charts
Basic Scatter Plots
Line Charts
Templates
Enhanced Scatter Plots
Chapter 13HighDensity Plots
Working with Large Datasets
Chapter 14The BlandAltman Plot
Assessing Measurement Reliability
Chapter 15QQ Plots
Comparing Sets of Numbers
Multivariable Graphs
Chapter 16Scatter plot Matrices and Corrgrams
Scatter plot Matrix
Corrgram
Generalized Pairs Matrix with Mixed Quantitative and Categorical Variables
Chapter 17ThreeDimensional Plots
3D Scatter plots
False Color Plots
Bubble Plots
Chapter 18Coplots (Conditioning Plots)
The Coplot
Exercise 181
Chapter 19Clustering: Dendrograms and Heat Maps
Clustering
Heat Maps
Chapter 20Mosaic Plots
Graphing Categorical Data
What Now?
Chapter 21Resources for Extending Your Knowledge of Things Graphical and R Fluency
R Graphics
General Principles of Graphics
Learning More About R
Statistics with R
Appendix References
Appendix R Colors
Appendix The R Commander Graphical User Interface
Appendix Packages Used/Referenced
Appendix Importing Data from Outside of R
Some Useful Internet Data Repositories
Importing Data of Various Types into R
Appendix 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
Appendix 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
Appendix R Functions Introduced in This Book
Data Input/Output
Datasets
Graphical Functions 1—Creates Graph
Graphical Functions 2—Adds Features to Existing Graph
Miscellaneous
Packages
Statistics
UserDefined Functions and Scripts
Workspace and Directories

