This is the git repository for ST332 Project 2.
Questions to answer:
- Which sub-scale data are missing? How?
- Which missingness methods are best fit to the CAST data?
- Which missingness model best fits the sub-scale data?
- How is Yscore missing?
- Which missingness methods are best fit? How do they impact the final results?
Files are organized in 3 sub-folders:
- /data/ contains all relevant data for further analysis
- /processing/ for R code to produce clean subsets of data
- /notebook/ for production-ready R Markdown files (two sub-folders: sub-scales and Yscore)