fts.plot.operators function

Contour plot of operator kernels.

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 $[-\pi,\pi]$. 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))