Sampler: Lecture notes on multivariate statistics
Some multivariate statistical methods using R
These sample lecture notes are designed for graduate students and upper-level undergraduates enrolled in applied multivariate statistics courses across various fields in the natural sciences. The material emphasizes both conceptual understanding and practical application of multivariate statistical techniques, without requiring extensive mathematical or technical background.
The notes aim to help students critically evaluate research articles that employ these methods and to develop the skills needed to apply multivariate techniques to their own quantitative data analyses.
Supplementary materials are provided separately, including a sample dataset in .xlsx (Excel) format used throughout the notes.
About the Author:
Prof. Dr. Yoon G. Kim — California State Polytechnic University, Humboldt
Yoon G. Kim is a Professor of Statistics in the Department of Mathematics at California State Polytechnic University, Humboldt, where he teaches statistics, data analysis, and quantitative methods across undergraduate and graduate programs. His research spans safety engineering, quality assurance, industrial engineering, and applied statistics. A dedicated educator and practitioner, he brings rigorous quantitative expertise and a passion for evidence-based inquiry to his teaching, research, and professional contributions — including his most recent work on redwood ecosystem restoration in northern California.