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Moffitt Library is opening Aug. 22. Other libraries will have updated services and hours. Learn more.
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.
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.
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:
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.
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.
Copy/paste the search string below into the search box of any database, such as PubMed, Embase, Global Health, Sociological Abstracts, etc., then add AND [(your_terms)], using disease, geography, people, study characteristics, etc. terms.
("R program" OR "r software" OR rstudio OR "r project" OR "r package" OR "r markdown")