fts.plot.covariance: Contour plot for the kernels of cross-covariance operators.

In kidzik/freqdom.fda: Functional Time Series: Dynamic Functional Principal Components

Contour plot for the kernels of cross-covariance operators.

Description

Contour plot for the kernels of cross-covariance operators.

Usage

fts.plot.covariance(X, Y = X, cor = FALSE, res = 200, lags = 0:3, nlevels = 25)

Arguments

X	an object of class fd representing a functional data sample.
Y	an object of classfd representing a functional data sample.
cor	if FALSE covariance kernels are plotted, if TRUE correlation kernel will be plotted.
res	number of discretization points to evaluate functional data.
lags	lags to plot, dafauts 0:3
nlevels	number of color levels for the contour plot.

Examples

fts = fts.rar(100)

# Plot covariance operators of the time series curves
# We chose resolution equal 150 for better precision 
fts.plot.covariance(fts, lags=0:2, res = 150) 

# Plot correlation operators of the time series curves
fts.plot.covariance(fts, lags=0:2, cor = TRUE, res = 50)

# Make the grid of levels more dense
fts.plot.covariance(fts, lags=0:1, nlevels = 100)

kidzik/freqdom.fda documentation built on April 19, 2022, 2:40 a.m.