R in a nutshell
When professionals are faced with analyzing moderate-to-large data sets, tools like Excel do not have the power or flexibility. R was designed for these situations, with good graphical capabilities and a large, robust library of contributed packages. While most books on R are stiff and academic, this Nutshell guide offers a readable overview of R, and contains a reference for the most commonly used features
xix, 699 : illustrations ; 23 cm
9781449312084, 144931208X
757148492
R BASICS. Getting and installing R
The R user interface
A short R tutorial
R packages
THE R LANGUAGE. An overview of the R language
R syntax
R objects
Symbols and environments
Functions
Object-oriented programming
WORKING WITH DATA. Saving, loading, and editing data
Preparing data
DATA VISUALIZATION. Graphics
Lattice graphics
ggplot2
STATISTICS WITH R. Analyzing data
Probability distributions
Statistical tests
Power tests
Regression models
Classification models
Machine learning
Time series analysis
ADDITIONAL TOPICS. Optimizing R programs
Bioconductor
R and Hadoop
Appendix: R reference
Previous edition: Sebastapol, Calif.: O'Reilly, 2010
"A desktop quick reference"--Cover