The information in these pages will help you:
YaRrr! The Pirate's Guide to R by Nathaniel D. Phillips
An Introduction to Political and Social Analysis Using R by Thomas M. Holbrook
R Workflow article by Frank E. Harrell, Jr.
R Tutorials and Resources: Getting Started with R
R is a language and software environment for statistical computing and graphics. It provides a wide variety of statistical and graphical techniques. R is available as a free software, which runs on Linux, MacOS and Windown. You can download R from the Comprehensive R Archive Network (CRAN), part of The R Project for Statistical Computing.
RStudio is an integrated development environment (IDE) for R and Python. It includes a console, syntax-highlighting editor that supports direct code execution, and tools for plotting, history, debugging, and workspace management. It is available as an open source edition and runs in Windows, MacOS, and Linus environments. You can download RStudio from the POSIT website.
This helpful YouTube video talking you through downloading R and RStudio:
Installing R on Your Machine has step-by-step instructions on how to install R and RStudio Desktop on Windows and MacOS. It also has instructions for installing R Kernel on Jupyter Notebook for both Windows and MacOS.
Once you've installed RStudio, Descriptive Statistics and an Overview of RStudio (about 6 minutes) will get help get you started using RStudio
The Against All Odds: Inside Statistics videos from Films on Demand provide an overview on the art and science of gathering, organizing, analyzing and drawing conclusions from data.
The following library resources will provide access to statistical summaries, as well as datasets.
Our subscription to RAND State Statistics ends December 9, 2022.
For alternative sources, please consult our Finding Statistics and Data subject guide or contact us with questions.