Resources

A blog post about creating a Twitter bot using the R package rtweet and GitHub Actions

Garrick Aden-Buie's blog post introduces 'now,' a Quarto extension that allows the automatic update of time information in Quarto documents. This extension saves time by eliminating the need for manual updates of dates in documentation footers. By adding the extension using 'quarto add gadenbuie/quarto-now,' Quarto users can employ shortcodes like '{{< now >}}' and '{{< modified >}}' to display the current or last modified time. The extension supports customization of time output formats and may significantly streamline Quarto project maintenance by ensuring date accuracy without manual intervention.

A talk by Alice Bartlett at UX Brighton 2016 about using Git for humans.

Happy Git and GitHub for the useR provides instructions on how to install and use Git and GitHub with R and R Markdown. It covers key workflows and demonstrates the synergy between R/R Markdown/RStudio and GitHub. The target audience includes those who use R for data analysis or work on R packages.

This chapter covers the topic of using GitHub for collaboration in open data science projects. It includes objectives and resources for learning about Git and GitHub, setting up Git & GitHub, creating and cloning repositories, syncing files between local and remote repositories, exploring remote GitHub, and collaborating with GitHub.

This is a GitHub tutorial for R users who are familiar with Excel. It covers topics such as RStudio, RMarkdown, GitHub, ggplot2, dplyr, and tidying data.

This content outlines the structure and components of an R package development workshop. It includes topics like setting up an environment, writing and documenting functions, version control, and publishing to repositories like CRAN and GitHub. The workshop is aimed at individuals with basic R knowledge and focuses on practical aspects, such as naming packages, creating DESCRIPTION files, managing dependencies, and integrating version control systems. Advanced topics include dataset inclusion and language integration. It is intended for a bioinformatics audience by COMBINE, utilizing bookdown for writing and RStudio for development.

This is the table of contents for the STAT 545 resource, which covers various topics related to R programming.