| Functional Data Analysis with R and MATLAB 2009 Edition Contributor(s): Ramsay, James (Author), Hooker, Giles (Author), Graves, Spencer (Author) |
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ISBN: 0387981845 ISBN-13: 9780387981840 Publisher: Springer OUR PRICE: $80.74 Product Type: Paperback Published: July 2009 Annotation: 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 the functional data analysis. 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. |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - Multivariate Analysis - Medical | Public Health - Computers | Databases - Data Mining |
| Dewey: 519.535 |
| LCCN: 2009928040 |
| Physical Information: 0.47" H x 6.14" W x 9.21" (0.70 lbs) 202 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |