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R Tutorials, Tips, etc.
Happy Git with R
Happy Git and GitHub for the useR: Happy Git provides opinionated instructions on how to: Install Git and get it working smoothly with GitHub, in the shell and in the RStudio IDE; Develop a few key workflows that cover your most common tasks; Integrate Git and GitHub into your daily work with R and R Markdown.
The target reader is someone who uses R for data analysis or who works on R packages, although some of the content may be useful to those working in adjacent areas.
The R Graph Gallery
A data visualization resource, the R graph gallery is a collection of charts made with the R programming language. Hundreds of charts are displayed in several sections, always with their reproducible code available. The gallery makes a focus on the tidyverse and ggplot2.
R for Excel Users
In this workshop you will learn hands-on how to begin to interoperate between Excel and R. But this workshop is not only about learning R; we will learn R using additional software: RStudio and GitHub. These tools will help us develop good habits for working in a reproducible and collaborative way — critical attributes of the modern analyst.
This website is for both current R users, and experienced users of other statistical packages (e.g., SAS, SPSS, Stata) who would like to transition to R. Includes:
Quick list of useful R packages
There are thousands of helpful R packages for you to use, but navigating them all can be a challenge. To help you out, we've compiled this guide to some of the best. We've used each of these, and found them to be outstanding – we've even written some of them. These packages are also some of the top most downloaded R packages.
The cheatsheets below make it easy to use some of our favorite packages. From time to time, we will add new cheatsheets. If you’d like us to drop you an email when we do, click the button below.
R: UCLA Statistical Consulting Group
Classes, learning modules, code fragments, Data Analysis Examples, Installing, Customizing, Updating R, Step-by-step instructions to analyze major public-use survey data sets with R, and more.
The R Project for Statistical Computing
Official website for the R Project, with links to manuals, frequently asked questions and The R Journal, an open access journal that publishes articles on the use and development of R.
Turn your analyses into high quality documents, reports, presentations and dashboards. R Markdown documents are fully reproducible. Use a productive notebook interface to weave together narrative text and code to produce elegantly formatted output.
Public Health Librarian; Interim Optometry & Vision Science Liaison