Welcome!
R packages are a fundamental tool for reproducibility and code sharing. Scientists and data analysts can use R packages to share new methods and improve data processing pipelines. This workshop is designed to provide a practical introduction to developing R packages. The workshop will be structured in two parts: Practical foundations of writing and a hackathon. The practical foundations will provide a start-to-finish example that attendees can follow. The hackathon component will be oriented to developing attendees’ own R packages, expecting them to complete the workshop with their own package.
About the workshop
Time and location
The workshop will take place on Friday, November 8th, 2024 at the University of Utah, Salt Lake City, UT. More details will be provided to registered attendees.
What would be good uses for an R package?
- You have a set of functions repeated across R scripts that you would like to register as a collection within an R package.
- You have a Shiny App you would like to share with colleagues so they can run it locally (for example) on their laptops.
- You have a function that runs a simulation/estimation/analysis that you plan or are already using repeatedly.
- You have some data that you would like to share with others or yourself in a simpler way.
- Etc.
Who should attend?
R programming users looking to learn how to write an R package, hopefully already having an idea/project for their own package. What level of programming should attendees have? Attendees should have experience using the R programming language. To get the most out of the workshop, they should have a working knowledge of programming concepts such as writing functions data manipulation using tools like dplyr, base R, or data.table.
What tools will be used during the workshop?
Besides the R programming language, we will be using Rstudio.
Registration
For registration, please reach out to your ForeSITE contact. You can also email us at george.vegayon@utah.edu.
Funding
This workshop is organized by ForeSITE using funds from the CDC’s Center for Forecasting and Outbreak Analytics (CFA) (Award number 1U01CK000585; 75D30121F00003).