Gardener M. The Essential R Reference

Wiley, 2014. — 576 p. — ISBN: 1118391411, 9781118391419.An essential library of basic commands you can copy and paste into R.
The powerful and open-source statistical programming language R is rapidly growing in popularity, but it requires that you type in commands at the keyboard rather than use a mouse, so you have to learn the language of R. But there is a shortcut, and that's where this unique book comes in. A companion book to Visualize This: The FlowingData Guide to Design, Visualization, and Statistics, this practical reference is a library of basic R commands that you can copy and paste into R to perform many types of statistical analyses.
Whether you're in technology, science, medicine, business, or engineering, you can quickly turn to your topic in this handy book and find the commands you need.Comprehensive command reference for the R programming language and a companion book to Visualize This: The FlowingData Guide to Design, Visualization, and Statistics.
Combines elements of a dictionary, glossary, and thesaurus for the R language.
Provides easy accessibility to the commands you need, by topic, which you can cut and paste into R as needed.
Covers getting, saving, examining, and manipulating data; statistical test and math; and all the things you can do with graphs.
Also includes a collection of utilities that you'll find useful.Simplify the complex statistical R programming language with The Essential R Reference.Theme 1: Data
Data Types.
Types of Data.
Altering Data Types.
Testing Data Types.
Creating Data.
Creating Data from the Keyboard.
Creating Data from the Clipboard.
Adding to Existing Data.
Importing Data.
Importing Data from Text Files.
Importing Data from Data Files.
Saving Data.
Saving Data as a Text File to Disk.
Saving Data as a Data File to Disk.
Viewing Data.
Listing Data.
Data Object Properties.
Selecting and Sampling Data.
Sorting and Rearranging Data.
Summarizing Data.
Summary Statistics.
Summary Tables.
Distribution of Data.
Density Functions.
Probability Functions.
Quantile Functions.
Random Numbers.
Theme 2: Math and Statistics
Mathematical Operations.
Math.
Logic.
Complex Numbers.
Trigonometry.
Hyperbolic Functions.
Matrix Math.
Summary Statistics.
Simple Summary Stats.
Tests of Distribution.
Differences Tests.
Parametric Tests.
Non-parametric.
Correlations and Associations.
Correlation.
Association and Goodness of Fit.
Analysis of Variance and Linear Modeling.
ANOVA.
Linear Modeling.
Miscellaneous Methods.
Clustering.
Ordination.
Time Series.
Non-linear Modeling and Optimization.
Theme 3: Graphics
Making Graphs.
Types of Graphs.
Saving Graphs.
Adding to Graphs.
Adding Data.
Adding Lines.
Adding Shapes.
Adding Text.
Adding Legends.
Graphical Parameters.
Using the par Command.
Altering Color.
Altering Axis Parameters.
Altering Text Parameters.
Altering Line (and Box) Parameters.
Altering Plot Margins.
Altering the Graph Window.
Theme 4: Utilities
Install.
Installing R.
Installing Packages.
Using R.
Using the Program.
Additional Packages.
Programming.
Managing Functions.
Saving and Running Scripts.
Conditional Control.
Returning Results.
Error Trapping.
Constants.