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For class UCLA BIOSTAT 203A (Data Management) in 2017 fall focuses on programming in R and SAS.

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Biostat203A-DataManagement

For class UCLA BIOSTAT 203A (Data Management) in fall quarter focuses on programming in R and SAS.

Student Name: Huiyu Hu

Final Project:

Grade: 98/100

Part 1: SAS

  • Summarize the characteristics of the dataset - Master_Child_SDQ.csv
  • SAS Macro

Part 2: R

  • Simulate a data set with many of the same characteristics as the data from part 1, including missing data mechanisms

Part 3: R

  • Convert the R code which generates a single simulated data set into an R function that can be repeatedly called.

Midterm Project:

Grade: 94/100

  • Reading in, manipulating, and summarizing data: Household-Level Demographic Characteristics

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For class UCLA BIOSTAT 203A (Data Management) in 2017 fall focuses on programming in R and SAS.

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