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)

• combining two data frames

• combining more than two data frames

• dplyr, a package for data manipulation, reshaping, summarizing

• download data

more data sets

Functions

• understand R functions
• generic functions, classes

• the apply family

more

Graphics

• ggplot2

Basic Data Analysis

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

• classical tests

• models/Anova

• repeated measures Anova

more

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

more