fda.oce: fda.oce: A package for the use of functional data analysis...
In EPauthenet/fda.oce: Functional Data Analysis of oceanographic profiles.
fda.oce R Documentation
fda.oce: A package for the use of functional data analysis tools on oceanographic profiles.
Description
The fda.oce package provides a serie of functions companion to Pauthenet et al. (2017), to analyze the variability in multivariate hydrographic profiles.
Functions
bspl : function to fit B-splines on multivariate hydrographic profiles
fpca : compute a basis of modes from multivariate hydrographic profiles using a functional principal component analysis (fpca).
proj : project multivariate hydrographic profiles on a basis (computed with fpca) to obtain the principal components (pc) of the dataset
reco : reconstruct the profiles with a chosen numbers of principal components
Visualisations
eigenf : effect of each eigenfunction (i. e. vertical mode) on the mean profile.
pc_plot : plot the PC values with the appropriate axis and percentage values on the labels
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.
EPauthenet/fda.oce documentation built on April 18, 2024, 7:56 a.m.
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| fda.oce | R Documentation |
fda.oce: A package for the use of functional data analysis tools on oceanographic profiles.
Description
The fda.oce package provides a serie of functions companion to Pauthenet et al. (2017), to analyze the variability in multivariate hydrographic profiles.
Functions
bspl : function to fit B-splines on multivariate hydrographic profiles
fpca : compute a basis of modes from multivariate hydrographic profiles using a functional principal component analysis (fpca).
proj : project multivariate hydrographic profiles on a basis (computed with fpca) to obtain the principal components (pc) of the dataset
reco : reconstruct the profiles with a chosen numbers of principal components
Visualisations
eigenf : effect of each eigenfunction (i. e. vertical mode) on the mean profile.
pc_plot : plot the PC values with the appropriate axis and percentage values on the labels
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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