Goal
Turn two college regression case studies into a cleaner R project that is easy to run, review, and explain.
portfolio project / reproducible regression
Regression Lab in R
Built reproducible R case studies for data cleaning, imputation, transformation testing, and regression modeling using synthetic educational datasets.
Build
Organized scripts, raw data paths, missing-data handling, transformations, model outputs, and plots into a reproducible workflow.
Result
Turned the class work into a clear project archive with scripts, outputs, and notes that make the modeling steps easy to follow.
build notes
Choices and small problems
- Kept the class data synthetic and labeled clearly so it does not read like real medical or genetic research.
- Used MICE for missing values instead of throwing away useful rows too quickly.
- Kept the selected transformations from the original work, then made the outputs easier to rerun and inspect.
- Saved summaries, ANOVA tables, coefficients, and plots as separate project outputs.
visual notes
Actual regression graphs
These graphs were generated from the uploaded regression data files in the project folder.
Graph selector
Now viewing: Part A regression