Functional Data Analysis with R and MATLAB

RAMSAY, James O., Giles HOOKER a Spencer GRAVES. Functional Data Analysis with R and MATLAB. New York: Springer-Verlag New York, 2009, 202 s. XII. ISBN 978-0-387-98184-0.

Základní údaje

Originální název

Functional Data Analysis with R and MATLAB

Autoři

RAMSAY, James O., Giles HOOKER a Spencer GRAVES

Vydání

New York, 202 s. XII, 2009

Nakladatel

Springer-Verlag New York

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Další údaje

Jazyk

angličtina

Typ výsledku

Odborná kniha

Obor

10103 Statistics and probability

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

ISBN

978-0-387-98184-0

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Anotace

V originále

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 complements Functional Data Analysis, Second Edition and Applied Functional Data Analysis: Methods and Case Studies by providing computer code in both the R and Matlab languages for a set of data analyses that showcase functional data analysis techniques. The authors make it easy to get up and running in new applications by adapting the code for the examples, and by being able to access the details of key functions within these pages. This book is accompanied by additional web-based support at http://www.functionaldata.org for applying existing functions and developing new ones in either language. The companion 'fda' package for R includes script files to reproduce nearly all the examples in the book including all but one of the 76 figures.