Functional Data Analysis with R and MATLAB

• Main Authors: Ramsay, James. (Author), Hooker, Giles. (Author), Graves, Spencer. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: New York, NY : Springer New York, 2009.
• Series: Use R
• Subjects: Statistics.; Data mining.; Statistical methods.; Mathematical statistics.; Marketing.; Psychometrics.; Statistics and Computing/Statistics Programs.; Data Mining and Knowledge Discovery.; Biostatistics.; Public Health/Gesundheitswesen.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-387-98185-7

Scientists often collect samples of curves and other functional observations, and develop models where parameters are also functions. This volume in the UseR! Series is aimed at a wide range of readers, and especially those who would like apply these techniques to their research problems. It complem...

Table of Contents:

• 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.