Course notes for HDFS 523
1 About This Book
2 Data Cleaning
3 Describing Longitudinal Data
4 Matrix Algebra
5 Ordinary Least Squares
6 Statistical Control
7 Linear Regression
8 Logistic Regression
9 Poisson Regression
10 Marginal Effects
11 Two-Occassion Change
12 Introduction to Growth
13 Growth Curve Modeling
14 Nonlinear Growth Curves
15 Dyadic Data Analysis
16 Cluster Analysis
17 Vector Autoregressive Models
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HDFS 523: Strategies for Data Analysis in Developmental Research

Chapter 16 Cluster Analysis

This chapter covers the basics of cluster analysis. First, we introduce the topics and then proceed with applied examples in R.