Data7 Reproducible Research with GitHub and RStudio Workshop Series

By Greg T. Chism in Quarto

August 24, 2022

We are experiencing a reproducibility crisis in science, largely because we have yet to fully adopt widespread publishing of code and data.

The goal of a research compendium is to provide a standard and easily recognizable way for organizing the digital materials of a project to enable others to inspect, reproduce, and extend the research.

In this workshop series, I first use the R package rrtools to provide attendees with a straightforward way to produce a template research compendium with the RStudio IDE and GitHub. I then use the R packages rtools and devtools to teach attendees how to make their compendium conform to the R package structure. I finally use the distill package to show attendees how they can reproduce a research or technical paper in a readable HTML format.

Featured image: The Turing Way project illustration by Scriberia. Used under a CC-BY 4.0 licence. DOI: 10.5281/zenodo.3332807.

Posted on:
August 24, 2022
Length:
1 minute read, 149 words
Categories:
Quarto
Tags:
R/RStudio rrtools GitHub Reproducible research
See Also:
Data7 KEYS Internship Open Science and Machine Learning materials
Data7 Exploratory Data Analysis in R Workshop Series