fts.plot.covariance function

Contour plot for the kernels of cross-covariance operators.

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)