fpca: Functional Principal Component Analysis of multivariate...

View source: R/fpca.R

fpcaR Documentation

Functional Principal Component Analysis of multivariate hydrographic profiles

Description

This function computes a FPCA on multivariate hydrographic profiles. It returns the basis of decomposition, also called the vertical modes.

Usage

fpca(fdobj)

Arguments

fdobj

fd objects (list) of the splines construction containing coefficients, etc... This is produced by the function bspl.

Value

pca list containing the eigen (values), eigen (vectors), eigen vectors not weighted by WM (vecnotWM), deformation induced by an axis (axe) percentage of each axis (pval).

Author(s)

Etienne Pauthenet <etienne.pauthenet@gmail.com>, David Nerini <david.nerini@univ-amu.fr>, Fabien Roquet <fabien.roquet@gu.se>

References

Pauthenet et al. (2017) A linear decomposition of the Southern Ocean thermohaline structure. Journal of Physical Oceanography, http://dx.doi.org/10.1175/JPO-D-16-0083.1

Ramsay, J. O., and B. W. Silverman, 2005: Functional Data Analysis. 2nd Edition Springer, 426 pp., Isbn : 038740080X.

See Also

bspl for bsplines fit on T-S profiles, proj for computing Principal Components, reco for reconstructing profiles with less modes.


EPauthenet/fda.oce documentation built on April 18, 2024, 7:56 a.m.