Functional Data Analysis with R is a comprehensive guide to handling functional data, which involves measurements of continuous underlying processes. The book presents various techniques for dimension reduction, smoothing, functional regression, structured decompositions of curves, and clustering. It aims to provide readers with practical methods for hands-on, problem-forward functional data analysis, suitable for self-learning, teaching, and research. The book is designed for undergraduate, master's, and PhD students, as well as data scientists and researchers working on functional data analysis. It combines state-of-the-art software, methods, and inference, and can be used at different levels of expertise. The authors, Ciprian M. Crainiceanu, Jeff Goldsmith, Andrew Leroux, and Erjia Cui, are experts in the field, with extensive experience in functional data analysis and related areas. The book includes detailed software and a website for each chapter, making it a valuable resource for both beginners and advanced users.Functional Data Analysis with R is a comprehensive guide to handling functional data, which involves measurements of continuous underlying processes. The book presents various techniques for dimension reduction, smoothing, functional regression, structured decompositions of curves, and clustering. It aims to provide readers with practical methods for hands-on, problem-forward functional data analysis, suitable for self-learning, teaching, and research. The book is designed for undergraduate, master's, and PhD students, as well as data scientists and researchers working on functional data analysis. It combines state-of-the-art software, methods, and inference, and can be used at different levels of expertise. The authors, Ciprian M. Crainiceanu, Jeff Goldsmith, Andrew Leroux, and Erjia Cui, are experts in the field, with extensive experience in functional data analysis and related areas. The book includes detailed software and a website for each chapter, making it a valuable resource for both beginners and advanced users.