varmx.cca.fd

an object of class "cca.fd" that is produced by function
<code>cca.fd</code>.

ccafd

the number of points in a fine mesh of points that is
required to approximate canonical variable functional
data objects.

Results of canonical correlation analysis are often easier to interpret if
they are rotated. Among the many possible ways in which this rotation can be
defined, the VARIMAX criterion seems to give satisfactory results most
of the time.

smooth

These functions were developed to support functional data
analysis as described in Ramsay, J. O. and Silverman, B. W.
(2005) Functional Data Analysis. New York: Springer. They were
ported from earlier versions in Matlab and S-PLUS. An
introduction appears in Ramsay, J. O., Hooker, Giles, and
Graves, Spencer (2009) Functional Data Analysis with R and
Matlab (Springer). The package includes data sets and script
files working many examples including all but one of the 76
figures in this latter book. Matlab versions of the code and
sample analyses are no longer distributed through CRAN, as they
were when the book was published. For those, ftp from
<http://www.psych.mcgill.ca/misc/fda/downloads/FDAfuns/>
There you find a set of .zip files containing the functions and
sample analyses, as well as two .txt files giving instructions for
installation and some additional information.
The changes from Version 2.4.1 are fixes of bugs in density.fd and
removal of functions create.polynomial.basis, polynompen, and
polynomial. These were deleted because the monomial basis
does the same thing and because there were errors in the code.

varmx.cca.fd: Rotation of Functional Canonical Components with VARIMAX

Description

Usage

Arguments

Value

See Also