fts.plot.operators: Contour plot of operator kernels.

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

Contour plot of operator kernels.

Description

Contour plot of operator kernels.

Usage

fts.plot.operators(A, res = 200, lags = 0, freq = 0, axis = "Re", nlevels = 25)

Arguments

A	an object of class fts.timedom or fts.freqdom.
res	number of discretization points to evaluate functional data.
lags	a vector of integers. For objects of class fts.timedom the lags of the operators we want to plot.
freq	a vector of frequencies in [-π,π]. For an object of class fts.freqdom the frequencies at which we want to plot the operator. If the chosen frequencies are not contained in A$freq, the closest frequencies will be used.
axis	if "Re" we plot the real part, if "Im" we plot the imaginary part of a complex-valued operator.
nlevels	number of color levels for the contour plot.

Examples

# Load example PM10 data from Graz, Austria
data(pm10) # loads functional time series pm10 to the environment
X = center.fd(pm10)

# Compute functional dynamic principal components with only one component
res.dpca = fts.dpca(X, Ndpc = 1, freq=(-25:25/25)*pi) # leave default freq for higher precision

# Plot the spectral density operator at frequencies -2, -3:3/30 * pi and 2
fts.plot.operators(res.dpca$spec.density,freq = c(-2,-3:3/30 * pi,2))

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