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

In fda: Functional Data Analysis

Rotation of Functional Canonical Components with VARIMAX

Description

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.

Usage

varmx.cca.fd(ccafd, nx=201)

Arguments

ccafd	an object of class "cca.fd" that is produced by function cca.fd.
nx	the number of points in a fine mesh of points that is required to approximate canonical variable functional data objects.

Value

a rotated version of argument cca.fd.

References

Ramsay, James O., Hooker, Giles, and Graves, Spencer (2009), Functional data analysis with R and Matlab, Springer, New York.

Ramsay, James O., and Silverman, Bernard W. (2005), Functional Data Analysis, 2nd ed., Springer, New York.

Ramsay, James O., and Silverman, Bernard W. (2002), Applied Functional Data Analysis, Springer, New York.

See Also

varmx, varmx.pca.fd

fda documentation built on Sept. 30, 2024, 9:19 a.m.