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Index
Cover Page
I. Getting started with R
Chapter 1. R basics
1.1 Downloading the software
1.2 Try some simple tasks
1.3 User interface
1.4 Installing a package ... a GUI interface
1.5 Data structures
1.6 Sample datasets
1.7 The working directory
1.8 Putting data into R
1.8.1. Typing into a command line.
1.8.2. Using the data editor.
1.8.3. Reading from an external file.
1.9 Source a script
1.10 User-written functions
1.11 A taste of things to come
Chapter 2. An Overview of R Graphics
2.1 Exporting a graph
2.2 Exploratory graphs and presentation graphs
2.3 Several graphics systems in R
2.3.1 Base graphics and grid
2.3.2 lattice
2.3.3 ggplot2
2.3.4 Special applications/graphs incorporated into packages
2.3.5 User-written graphics functions
Chapter 3. Strip chart
3.1 A simple graph
3.2 Data can be beautiful
Chapter 5. Box plots
5.1 The box plot
5.2 Nimrod again
5.3 Data can be beautiful
Chapter 6. Stem-and-leaf plots
Chapter 7. Histograms
Chapter 8. Kernel Density Plots
8.1 Density estimation
8.2 Comparing two or more density plots
8.3 The cumulative distribution function
9. Bar Plot (Bar Chart)
9.1. Basic bar plot
9.2. Spine plot.
9.3. Bar spacing and orientation
10. Pie Charts
10.1. Ordinary Pie Chart
10.2. Fan Plot
11. Rug Plot
Appendix A
R Colors
Appendix C The R Commander GUI (Graphical User Interface)
Appendix D Packages Used/Referenced
Appendix E
E.1 Some useful internet data repositories
E.2 Importing data of various types into R
CSV
Statistical packages (SPSS,SAS, etc.)
ASCII
XML
netCDF
Webscraping
Appendix G. Troubleshooting: Why doesn’t my code work?
G.1 Misspelling
G.2 Confusing upper/lower case.
G.3 Too few (or too many) parenthesis signs
G.4 Forgetting to load a package
G.5 Forgetting to install a package
G.6 A dataset in a loaded package is not found
G.7 Leaving out a comma
G.8 Copy-and-paste error
G.9 Directory problems - cannot load a saved file
G.10 Missing file extension
G.11 Do not assume that all package use the same argument abbreviations
Appendix H. 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 (R has MANY statistics functions not covered in this book)
User-defined functions and scripts
Workspace and directories
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