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 eBook
• Language: English
• Published: New York, NY : Springer New York, 2009.
• Series: Use R
• Subjects: Statistics.; Marketing.; Public health.; Data mining.; Biostatistics.; Psychometrics.; Statistics and Computing/Statistics Programs.; Data Mining and Knowledge Discovery.; Public Health.

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:

• 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.