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👩🏼💻 How do you set up your own #ShinyApp?
It's easy in #rstats! Start a new #Rproject and select "Shiny Application". It will create a project with an "app.R" file for you ✨
It's easy in #rstats! Start a new #Rproject and select "Shiny Application". It will create a project with an "app.R" file for you ✨
Once it's open, you can replace the code that is already in the "app.R" file with this code snippet below👇 It does all the magic and shows how you can build a simple #ShinyApp 🔮
(it's here for you to try: bit.ly/shinyapp-test)
(it's here for you to try: bit.ly/shinyapp-test)
What the ShinyApp does:
You have checkboxes on the left side that let you choose countries (it's the ISO3 abbreviation, so "RWA" stands for Rwanda) and, depending on what you selected, your #ShinyApp will show a (non-realistic) population size for each country in a new plot.
You have checkboxes on the left side that let you choose countries (it's the ISO3 abbreviation, so "RWA" stands for Rwanda) and, depending on what you selected, your #ShinyApp will show a (non-realistic) population size for each country in a new plot.
👩🏼💻 How do you use GitHub and RStudio?
If you connect your local repository with a remote repository (for instance on GitHub), you’ll be able to store it also in the cloud and access it from everywhere. Setting up this connection is easy in @rstudio - just follow these steps:
If you connect your local repository with a remote repository (for instance on GitHub), you’ll be able to store it also in the cloud and access it from everywhere. Setting up this connection is easy in @rstudio - just follow these steps:
@rstudio You can see one detailed use case in the GIF. It shows how I typically set up a project in #rstats with GitHub when working in academia
@AcademicChatter #AcademicTwitter
@AcademicChatter #AcademicTwitter
@rstudio @AcademicChatter I create a #GitHub repository first (depending on data privacy and other things, I go for either public or private but I always add a README. READMEs are great because they allow you write a short description of your repository in #markdown)
Now that you know how a general package structure looks like, we can start building a package 👩🏼💻
#RStudio is great, just follow these steps: Select "File", "New Project...", "New Directory" and select "R Package". You can now give your R package a meaningful name, select a path and hit "Create project".
You're now ready to go! Once executed, you have a fully functional package structure in your #Rproject (that we already discussed) 😊 Now it's time to move your function to your "R/" folder and populate it!
