1st Edition
From Data to Decisions in Music Education Research Data Analytics and the General Linear Model Using R
List of Figures
Preface
Section I. Fundamentals and Principles of the R Programming Language
Chapter 1. The R Programming Environment
Chapter 2. Data Types and Data Structures
Section II. Data Wrangling Techniques
Chapter 3. Data Preprocessing and Data Manipulation
Chapter 4. Data Aggregation
Section III. Descriptive Analytics and Exploratory Data Analysis Techniques
Chapter 5. Summary Operations
Chapter 6: Data Visualization
Section IV. Diagnostic Analytics and Data Mining Techniques
Chapter 7: Normality Assessment and Anomaly Detection
Chapter 8: Data Re-Expression Techniques
Chapter 9: Covariance and Correlation
Section V. Predictive Analytics and the General Linear Model
Chapter 10: The Mean Model and Simple Linear Regression
Chapter 11: Multiple Linear Regression
Chapter 12: Special Cases of the General Linear Model
Chapter 13: Model Diagnostics
References
Index
Biography
Brian C. Wesolowski is an Associate Professor of Music Education at the University of Georgia. He received his PhD from the University of Miami, Coral Gables, FL.
