Functional Data Analysis with R and MATLAB

Functional Data Analysis with R and MATLAB provides an application-oriented overview of functional analysis, with extended and accessible presentations of key concepts such as spline basis functions, data smoothing, curve registration, functional linear models and dynamic systems Functional data analysis is put to work in a wide a range of applications, so that new problems are likely to find close analogues in Functional Data Analysis with R and MATLAB The code in R and Matlab in Functional Data Analysis with R and MATLAB has been designed to permit easy modification to adapt to new data structures and research problems

- Introduction to functional data analysis
- Essential comparisons of the Matlab and R languages
- How to specify basis systems for building functions
- How to build functional data objects
- Smoothing: Computing curves from noisy data
- Descriptions of functional data
- Exploring variation: Functional principal and canonical components analysis
- Registration: Aligning features for samples of curves
- Functional linear models for scalar responses
- Linear models for functional responses
- Functional models and dynamics