Decision Tree Analysis and Prediction Using NHANES Data in R

This assignment focuses on utilizing R programming to perform decision tree analysis on the NHANES (National Health and Nutrition Examination Survey) dataset. The tasks involve dividing the dataset into training and testing sets, building decision trees to predict the 'harddrugs' variable using predictors like 'RegularMarij', 'Age', 'AlcoholYear', and 'BMI'. The assignment further requires generating partykit-based plots of the trees, calculating predictions for the test data, and creating confusion matrices to evaluate model performance. Additionally, it includes simulating data to explore the characteristics of decision trees, creating scatterplots, and analyzing the relationship between predictors and response variables. The solution provides R code with comments, addressing model building, visualization, prediction, and evaluation, making it a comprehensive guide to decision tree analysis with R and the NHANES dataset.