Format of final project

For your final project, you must work together in a group of 4-5 to produce a substantive product in R. What “substantive product” means can vary, but I expect most projects will be:

An R package

This is what I envisioned as the final project for this course when I was developing it. An R package is just a group of functions, data, and documentation that can be easily installed. R packages that make it to CRAN need to be “serious” and useful to more people than just you. But, there are many, many R packages that don’t live on CRAN. For example, many packages live on Github. That’s the sort that I’m envisioning. Some broad ideas of types of packages you might want to contemplate:

  • a package that is mostly about sharing interesting data with people who might want to use it, like the fivethirtyeight package
  • a package that is mostly about packaging up some data analysis you have done, like a research compendium

Of course, you could also think of a new statistical idea that needs to be implemented as an R package and do that, but I think that’s probably outside the scope of the class.

A shiny app

Another possibility for a substantive product made using R is a shiny app. Shiny apps are reactive web applications made using R code. They get used in business quite frequently, because they make it easy to generate a dashboard. For this type of project, you would probably do some cool data analysis with an interactive component. You may want to look through the gallery of examples to get some idea of what Shiny apps can do.

Something else??

I suppose it’s possible there are additional possibilities for final projects. If you have a brilliant idea, talk to me!

Places to find data

This class is a little different than other statistics classes in that you don’t need to find numeric data at all. So, the places you can look for data is broader! Here are a few ideas to get you started:

Some less-relevant places that I point students in other classes:

Deliverables

Initial project proposal

First, you just need to tell me a little about your final project idea. What type of project is it?

  • Package?
    • data package
    • analysis package
  • Shiny app?
  • Something else?

Where do you expect to find data? Do you need help finding data? What question will your project answer or purpose will it solve?

File structure

If you’re doing an R package for your final project, the file structure deliverable is the skeleton of a package. You can get this by running usethis::create_package("package-name"). Please edit a few of the first details, like we did in the packages slidedeck. For example, get the package authors’ names, the name of your package, etc. To get more of a jump on the project, also create a data directory, and put some data in there!

If you’re doing a shiny app, the file structure deliverable is a directory with at least an app.R file in it with the three initial pieces of the app: a server object, a ui object, and a call to shinyApp(), as describted in the shiny tutorial. To get more of a jump on the project, also create a data directory, and put some data in there!

Presentation

For your presentation, I would like you to walk us through the product you created. You can do your presentation however you would like– with slides, by pulling up RStudio and clicking through things, whatever! When I do presentations like this, I try to have screenshots and code on slides as a backup in case of the “curse of the live demo,” although it would be nice to see the code live. I’ll ask your peers to help evaluate your presentation, using this form. It should be clear you’ve practiced, even if you’re doing the (more casual) clickthrough on RStudio.

Presentations should be about 8 minutes long.

Deadlines

Checkpoint Due Date Credit Submission
Initial project proposal 4/2 1:30 pm 5 pts via GitHub
File structure 5/2 1:30 pm 5 pts via GitHub
Presentation 5/16 or final period 30 pts in person
Final code 5/24 40 pts via GitHub
Group Dynamic 5/24 5 pts via Canvas