-
Notifications
You must be signed in to change notification settings - Fork 0
/
index.qmd
43 lines (26 loc) · 2.32 KB
/
index.qmd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
---
title: "Welcome!"
date: 2024-10-08
date-modified: 2024-10-08
---
![Attendees during the morning session led by Andrew Redd (Photo by George G Vega Yon)](live.png){width=80%}
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 <[email protected]>.
## Funding
This workshop is organized by ForeSITE using funds from the CDC's Center for Forecasting and Outbreak Analytics (CFA) (Award number 1U01CK000585; 75D30121F00003).