# **UC Merced Shiny App Workshop**
This page was created to house the material used during the UC Merced Shiny App Workshop (April 26, 2019).
## How can you prepare?
1. Download the material on this page by clicking on *OSF Storage (USA)* below and then clicking on the *Download As zip* Button.
2. Install R: https://cran.cnr.berkeley.edu/
3. Install RStudio: https://www.rstudio.com/products/rstudio/download/
4. If you feel comfortable: Run the *"packagecheck.R"* file so you have all the required packages that we use during the workshop. *Note*: this script might take a while to run!
5. If you want to work with your own data during the workshop, make sure its "clean" and ideally saved as a .dat or .csv file.
*Note*: Even if you already have R and Rstudio installed on your computer, check and make sure you are running the most up-to-date versions of both.
## Want a quick primer on R/RStudio?
Here are some resources you can use to become familiar with R and the RStudio environment. These resources are useful if you have no or very limited experience with R and R studio.
1. [A 14-minute intro to R programming language and RStudio](https://www.youtube.com/watch?v=lVKMsaWju8w)
2. [A 35-minute intro to RStudio](https://resources.rstudio.com/wistia-rstudio-essentials-2/rstudioessentialsprogrammingpart1-2)
3. The R package Swirl, which teaches you to use R directly in RStudio: [Swirl](https://swirlstats.com/students.html)
2. [A Data Import Cheat Sheet](https://resources.rstudio.com/rstudio-cheatsheets/data-import-cheat-sheet)
## What if I don't have any data to use?
We will provide you with data to create the Shiny Apps we use as examples during the workshop. If you'd like to use a different dataset, you could use the following websites to find one that is relevant for your field of research (*Note*: we will also introduce these websites during the workshop):
1. [ICPSR](https://www.icpsr.umich.edu/icpsrweb/ICPSR/)
2. [Dash (University of California)](https://dash.ucop.edu/stash)
3. [Google Dataset Search](https://toolbox.google.com/datasetsearch)
