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Functional data analysis with R and MATLAB. (English) Zbl 1179.62006
Use R!. New York, NY: Springer (ISBN 978-0-387-98184-0/pbk; 978-0-387-98185-7/hbk). xi, 207 p. (2009).
Publisher’s description: Scientists often collect samples of curves and other functional observations, and develop models where parameters are also functions. This volume is aimed at a wide range of readers, and especially those who would like apply these techniques to their research problems. It complements the books of J.O. Ramsay and B.W. Silverman, Functional data analysis. 2nd ed. (2005; Zbl 1079.62006), and Applied functional data analysis: Methods and case studies. (2002; Zbl 1011.62002), 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.

62-07 Data analysis (statistics) (MSC2010)
62-04 Software, source code, etc. for problems pertaining to statistics
62-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics
fda (R); Matlab; R; rgl; RGL; SemiPar; SoDA
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