https://github.com/gadenbuie/rmedicine-2024-bslib
Next Generation Shiny Apps with bslib
https://github.com/gadenbuie/rmedicine-2024-bslib
Last synced: 10 days ago
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Next Generation Shiny Apps with bslib
- Host: GitHub
- URL: https://github.com/gadenbuie/rmedicine-2024-bslib
- Owner: gadenbuie
- License: mit
- Created: 2024-05-30T17:16:42.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-07-24T17:23:01.000Z (9 months ago)
- Last Synced: 2025-02-10T02:29:19.964Z (2 months ago)
- Language: HTML
- Homepage: http://pkg.garrickadenbuie.com/rmedicine-2024-bslib/
- Size: 247 MB
- Stars: 12
- Watchers: 2
- Forks: 9
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# Next Generation Shiny Apps with {bslib}
Garrick Aden-Buie
**Online workshop at [R/Medicine 2024](https://rconsortium.github.io/RMedicine_website/)**
Tuesday, June 11, 2024
[11:00am to 2:00pm](https://www.timeanddate.com/worldclock/fixedtime.html?msg=Next+Generation+Shiny+Apps+with+%7Bbslib%7D&iso=20240611T11&p1=25&ah=3)
## Links
📘 [Website](https://pkg.garrickadenbuie.com/rmedicine-2024-bslib)
📦 [Repository](https://github.com/gadenbuie/rmedicine-2024-bslib)
## File Organization
There are three main directories in this repository:
* 📁 `exercises/` contains starter code and example solutions for each exercise
* `exercises/01_app.R` - The starter code for the first exercise
* `exercises/01_solution_app.R` - An example solution for the first exercise
* 📁 `examples/` contains demo apps used in the workshop
* 📁 `website/` contains the website materials and slides
## Local Setup
If you prefer to use your own computer, you can clone the repository and install the necessary packages.
I used [R 4.4](https://r-project.org) but any recent version of R (>= 4.1) should work.
You can use the [usethis](https://usethis.r-lib.org) package to quickly clone the repository:
```r
usethis::create_from_github(
"gadenbuie/rmedicine-2024-bslib",
# Decide where to put the project here:
destdir = "~/Desktop/rmedicine-2024-bslib"
)
```
This will download the repository and open the project in RStudio.
Inside the project, use the `renv` package to install the necessary packages:
```r
renv::restore()
```
For very speedy installation, I recommend telling renv to use [pak](https://pak.r-lib.org/) to install packages:
```r
Sys.setenv(RENV_CONFIG_PAK_ENABLED = "true")
renv::restore()
```