The fda package supports "Functional Data Analysis" and "Applied
Functional Data Analysis" by Bernard Silverman and James Ramsay.
Functional data analysis, which lots of us like to call "FDA", is
about the analysis of information on curves or functions. FDA is a
collection statistical techniques for answering questions like, "What
are the main ways in which the curves vary from one to another?" In
fact, most of the questions and problems associated with multivariate
data (PCA, LDA, clustering, ...) have functional counterparts. More
information about FDA can be found at
http://www.psych.mcgill.ca/misc/fda/.
This version (and the previous 1.2.1) includes bug fixes plus a
"scripts" subdirectory with R code to reproduce some of the analyses
in the two functional data analysis books by Ramsay and Silverman and
a "Continuously Stirred Tank Reactor (CSTR)" simulation discussed in a
Ramsay, et al., discussion paper to appear soon in the Journal of the
Royal Statistical Society-series B.
It also includes the draft of a presentation on "fda in Matlab &
R"
(in PowerPoint and Adobe Acrobat PDF formats) for the UseR! 2007
conference this Friday, Aug. 10, 1:55 - 2:20 PM in Ames, IA.
Regards
Hadley Wickham
James Ramsey
Spencer Graves
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