Just added the class? Remember to ask to join the students team. Also make sure to have the following software installed:
- R Statistical Programming Language
- RStudio Integrated Development Environment
- git for version control
- TeX distribution for creating documents
These assignments are designed to enable engagement and practice with the concepts of applied statistics.
Register for a github account and get comfortable with using git. What is git/github? If you're having some trouble understanding or using git, read this presentation from a UIUC stat student.
Your code should be readable and reproducible. We recommend using RMarkdown so that you can add comments, clarifications, and codechunks directly into the assignments. You should be able to knit assignments to pdf or html -- try it. If it does not work, troubleshoot.
- To start, fork the '530-exploration' repository.
- Clone the repository to your computer.
- Modify the files and commit changes to complete your solution. Do not change the filename, otherwise git will not be able to track changes
- Push/sync the changes up to GitHub.
- Create a pull request on the original repository to turn in the assignment.
After you submit your pull request, Professor Bowers will review your code and provide in-line feedback within the pull request.
You'll need to update your fork when we release a new assignment. You can find instructions for updating or rebasing your fork here. Unlike the basic push and pull commands, there are no button for these actions in RStudio. You'll need to open the shell by clicking the gear icon in the git panel.