Capstone Project

Github Setup

To create a shared repository for this project (for you and your partners + me), each person should go to https://classroom.github.com/a/A0KXCpgw. One person create the team with the name capstone-name1-name2-name3. Then the others can join that team.

Final Project

For this final project, you should develop a research question and address it with methods for time series, longitudinal, or spatial data.

The analysis completed for mini-projects serve as starting points for the expected data analysis, but this project should involve more depth of thought about the data context and how it plays a role in the modeling and/or should involve a method that goes slightly beyond the covered materials.

Your goal is to communicate about your research question and the methods you use to answer that question. Your audience is a Stat 155 audience. For the final project, you’ll complete

  • A written communication (format of your choice)
    • Maximum 20 pages
    • Explain, justify, and interpret
    • Avoid printing R code and R output in the final written document but include it in the Rmd file
    • Limit the number of visualizations (only include those important for your narrative)
    • Spend time making plots look nice and accessible [only include “ink” that conveys information]
  • A group presentation that summarizes your work
    • 10-15 minutes
    • Maximum 15 slides
    • Make sure there is equity in voices within group
    • Tell a story about the data and your models
    • Same principles as above (no code or output; nice visuals; explain, justify, and interpret)

As you consider the format, think about your personal goals and skills that you’d like to work on in this project. If you’d like to learn something new such as Shiny, bookdown, Quarto, etc, you could choose that type of final format.

Your written and oral communication should include the following:

  • An introduction the data context (who, what, where, why, when, how) and the data
  • An introduction to your research question and why it is important
  • A discussion and justification of your models that explains WHY you made your choices
  • A presentation of the results of your models
  • A discussion of your conclusions based on the results and the limitations to the conclusions you can make.