For class UCLA BIOSTAT 203A (Data Management) in fall quarter focuses on programming in R and SAS.
Student Name: Huiyu Hu
Grade: 98/100
- Summarize the characteristics of the dataset - Master_Child_SDQ.csv
- SAS Macro
- Simulate a data set with many of the same characteristics as the data from part 1, including missing data mechanisms
- Convert the R code which generates a single simulated data set into an R function that can be repeatedly called.
Grade: 94/100
- Reading in, manipulating, and summarizing data: Household-Level Demographic Characteristics