CreateCovPlot: Creates a correlation surface plot based on the results from...

In fdapace: Functional Data Analysis and Empirical Dynamics

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

Description

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

Usage

CreateCovPlot(
  fpcaObj,
  covPlotType = "Fitted",
  corr = FALSE,
  isInteractive = FALSE,
  colSpectrum = NULL,
  ...
)

Arguments

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

Examples

set.seed(1)
n <- 20
pts <- seq(0, 1, by=0.05)
sampWiener <- Wiener(n, pts)
sampWiener <- Sparsify(sampWiener, pts, 10)
res <- FPCA(sampWiener$Ly, sampWiener$Lt, 
            list(dataType='Sparse', error=FALSE, kernel='epan', verbose=TRUE))
CreateCovPlot(res) ##plotting the covariance surface
CreateCovPlot(res, corr = TRUE) ##plotting the correlation surface

fdapace documentation built on Aug. 16, 2022, 5:10 p.m.