The Resource Functional Data Analysis with R and MATLAB, by James Ramsay, Giles Hooker, Spencer Graves, (electronic resource)

Functional Data Analysis with R and MATLAB, by James Ramsay, Giles Hooker, Spencer Graves, (electronic resource)

Label
Functional Data Analysis with R and MATLAB
Title
Functional Data Analysis with R and MATLAB
Statement of responsibility
by James Ramsay, Giles Hooker, Spencer Graves
Creator
Contributor
Author
Author
Subject
Language
  • eng
  • eng
Summary
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. Jim Ramsay is Professor Emeritus at McGill University and is an international authority on many aspects of multivariate analysis. He was President of the Statistical Society of Canada in 2002-3 and holds the Society’s Gold Medal for his work in functional data analysis. His statistical work draws on his collaboration with researchers in biomechanics, chemical engineering, climatology, ecology, economics, human biology, medicine and psychology. Giles Hooker is Assistant Professor of Biological Statistics and Computational Biology at Cornell University. His research interests include statistical inference in nonlinear dynamics, machine learning and computational statistics. Spencer Graves is an engineer with a PhD in Statistics and over 15 years experience using S-Plus and R to analyze data in a broad range of applications. He has made substantive contributions to several CRAN packages including ‘fda’ and ‘DierckxSpline.’
Member of
http://library.link/vocab/creatorName
Ramsay, James
Dewey number
519.5350285
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
  • lXPIrI4frBU
  • GFioHNHcVlE
  • csA-rYhFnqQ
Language note
English
LC call number
QA276-280
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Hooker, Giles.
  • Graves, Spencer.
Series statement
Use R!,
http://library.link/vocab/subjectName
  • Mathematical statistics
  • Data mining
  • Marketing
  • Statistical methods
  • Psychometrics
  • Statistics and Computing/Statistics Programs
  • Data Mining and Knowledge Discovery
  • Marketing
  • Biostatistics
  • Psychometrics
  • Public Health
Label
Functional Data Analysis with R and MATLAB, by James Ramsay, Giles Hooker, Spencer Graves, (electronic resource)
Instantiates
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references (p. 199-202) and index
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
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
Dimensions
unknown
Edition
1st ed. 2009.
Extent
1 online resource (218 p.)
Form of item
online
Isbn
9781282292642
Media category
computer
Media type code
c
Other control number
10.1007/978-0-387-98185-7
Specific material designation
remote
System control number
  • (CKB)1000000000761482
  • (EBL)450961
  • (OCoLC)437253268
  • (SSID)ssj0000159681
  • (PQKBManifestationID)11176998
  • (PQKBTitleCode)TC0000159681
  • (PQKBWorkID)10181583
  • (PQKB)11386293
  • (DE-He213)978-0-387-98185-7
  • (MiAaPQ)EBC450961
  • (EXLCZ)991000000000761482
Label
Functional Data Analysis with R and MATLAB, by James Ramsay, Giles Hooker, Spencer Graves, (electronic resource)
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references (p. 199-202) and index
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
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
Dimensions
unknown
Edition
1st ed. 2009.
Extent
1 online resource (218 p.)
Form of item
online
Isbn
9781282292642
Media category
computer
Media type code
c
Other control number
10.1007/978-0-387-98185-7
Specific material designation
remote
System control number
  • (CKB)1000000000761482
  • (EBL)450961
  • (OCoLC)437253268
  • (SSID)ssj0000159681
  • (PQKBManifestationID)11176998
  • (PQKBTitleCode)TC0000159681
  • (PQKBWorkID)10181583
  • (PQKB)11386293
  • (DE-He213)978-0-387-98185-7
  • (MiAaPQ)EBC450961
  • (EXLCZ)991000000000761482

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