Johor Bahru, 28 August 2025 – Universiti Teknologi Malaysia (UTM) is proud to announce the publication of a new academic title by UTM Press, titled “Multivariate Statistical Analysis with R”, authored by Muhammad Hisyam Lee. This latest release is an essential reference for students, researchers, and professionals seeking a solid foundation in multivariate statistical techniques, particularly using the R programming language.
Published under the banner of Innovating Sustainable Solutions, the book offers a comprehensive blend of theoretical depth and practical instruction, equipping readers with the necessary tools to manage and analyze complex data across multiple disciplines such as economics, psychology, engineering, health sciences, and social sciences.
This book introduces readers to the principles and significance of multivariate statistical methods, then walks them through crucial data handling and visualization skills in R—covering data import/export, cleaning, exploratory analysis, and foundational plotting techniques. The core chapters are dedicated to well-established techniques including Principal Component Analysis (PCA), Factor Analysis, Cluster Analysis, and Canonical Correlation Analysis (CCA), each complemented by real-world examples and R codes.
Advanced sections of the book discuss predictive modeling via Discriminant Analysis, Logistic Regression, and Support Vector Machines, while also covering Multivariate Regression and MANOVA (Multivariate Analysis of Variance)—vital for those interested in complex relationship modeling among multiple variables. Appendices provide valuable resources such as best practices in R programming, a glossary of terms, and troubleshooting guidance to support continuous learning.
Priced at RM60, this book is a must-have for academics, postgraduate students, and professionals in data-driven fields.
📚 Book Purchase Information
Get your copy from:
Kedai Buku Universiti
Penerbit UTM Press
81310 UTM Johor Bahru, Johor Darul Ta’zim, MALAYSIA
📞 Tel: +6010 663 5754
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🔴 Published by: UTM Press
📍 Universiti Teknologi Malaysia
🌐 https://penerbit.utm.my
