The information in these pages will help you:
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
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.
Learn R by Martin Morris
Statquest!! Video Index by Josh Starmer
SimpleR -- Using R for Introductory Statistics by John Verzani
An Introduction to R by Alex Douglas, Dean Roos, Francesca Mancini, Ana Couto & David Lusseau
Quick R by Rob Kabacoff of Datacamp
R for Epidemiology by Brad Cannell and Melvin Livingston. While geared toward epidemiologic research, this book has chapters on:
Beginner's Guide to R from Computerworld is a series of articles by Sharon Machlis on learning to use R. The articles include:
Posit Cheatsheets is a series of cheatsheets that make it easy to use several R packages.
The following library resources will provide access to statistical summaries, as well as datasets.