CreateCovPlot

This function will open a new device if not instructed otherwise.

A versatile package that provides implementation of various
methods of Functional Data Analysis (FDA) and Empirical Dynamics. The core of this
package is Functional Principal Component Analysis (FPCA), a key technique for
functional data analysis, for sparsely or densely sampled random trajectories
and time courses, via the Principal Analysis by Conditional Estimation
(PACE) algorithm. This core algorithm yields covariance and mean functions,
eigenfunctions and principal component (scores), for both functional data and
derivatives, for both dense (functional) and sparse (longitudinal) sampling designs.
For sparse designs, it provides fitted continuous trajectories with confidence bands,
even for subjects with very few longitudinal observations. PACE is a viable and
flexible alternative to random effects modeling of longitudinal data. There is also a
Matlab version (PACE) that contains some methods not available on fdapace and vice
versa. Updates to fdapace were supported by grants from NIH Echo and NSF DMS-1712864 and DMS-2014626.
Please cite our package if you use it (You may run the command citation("fdapace") to get the citation format and bibtex entry).
References: Wang, J.L., Chiou, J., Müller, H.G. (2016) <doi:10.1146/annurev-statistics-041715-033624>; Chen, K., Zhang, X., Petersen, A., Müller, H.G. (2017) <doi:10.1007/s12561-015-9137-5>.

Yidong Zhou

fdapace

Functional Data Analysis and Empirical Dynamics

Han Chen

Su I Iao

Poorbita Kundu

Hang Zhou

Satarupa Bhattacharjee

Cody Carroll

Yaqing Chen

Xiongtao Dai

Jianing Fan

Alvaro Gajardo

Pantelis Z. Hadjipantelis

Kyunghee Han

Hao Ji

Changbo Zhu

Paromita Dubey

Shu-Chin Lin

Hans-Georg Müller

Jane-Ling Wang

CreateCovPlot function

<dl><dt>fpcaObj</dt>
<dd>returned object from FPCA().</dd>
<dt>covPlotType</dt>
<dd>a string specifying the type of covariance surface to be plotted:
'Smoothed': plot the smoothed cov surface 
'Fitted': plot the fitted cov surface</dd>
<dt>corr</dt>
<dd>a boolean value indicating whether to plot the fitted covariance or correlation surface from the fpca object
TRUE: fitted correlation surface;
FALSE: fitted covariance surface;
default is FALSE; 
Only plotted for fitted fpca objects</dd>
<dt>isInteractive</dt>
<dd>an option for interactive plot:
TRUE: interactive plot; FALSE: printable plot</dd>
<dt>colSpectrum</dt>
<dd>character vector to be use as input in the 'colorRampPalette' function defining the colouring scheme (default: c('blue','red'))</dd>
<dt>...</dt>
<dd>other arguments passed into persp3d, persp3D, plot3d or points3D for plotting options</dd></dl>

Arguments

Creates a correlation surface plot based on the results from FPCA() or FPCder(). — CreateCovPlot

<dl>

<dt>fpcaObj</dt>
<dd>returned object from FPCA().</dd>


<dt>covPlotType</dt>
<dd>a string specifying the type of covariance surface to be plotted:
'Smoothed': plot the smoothed cov surface 
'Fitted': plot the fitted cov surface</dd>


<dt>corr</dt>
<dd>a boolean value indicating whether to plot the fitted covariance or correlation surface from the fpca object
TRUE: fitted correlation surface;
FALSE: fitted covariance surface;
default is FALSE; 
Only plotted for fitted fpca objects</dd>


<dt>isInteractive</dt>
<dd>an option for interactive plot:
TRUE: interactive plot; FALSE: printable plot</dd>


<dt>colSpectrum</dt>
<dd>character vector to be use as input in the 'colorRampPalette' function defining the colouring scheme (default: c('blue','red'))</dd>


<dt>...</dt>
<dd>other arguments passed into persp3d, persp3D, plot3d or points3D for plotting options</dd>

</dl>

Creates a correlation surface plot based on the results from FPCA() or FPCder().

CreateCovPlot: Creates a correlation surface plot based on the results from FPCA() or FPCder().

Description

Usage

Arguments

Examples