Course Outline

Data Wrangling

• basic data structures in R: vector, list, data frame
• indexing
• data types, type conversions
• read data from different file types (txt, csv, excel)
• merging of data frames
• dplyr, a package for data manipulation, reshaping, summarizing

more data sets

Functions

• understand R functions
• generic functions, classes

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Exploratory Data Analysis

• oulier detection: visual methods and tests
• graphics for grouped data

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Analysis of Longitudinal Data

• Exploring Longitudinal Data on Change:
  • Descriptive Analysis of Individual Change
  • Difference in Change across People
• Multilevel Models for Change
• Missing Data

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