PlotFun: Function to plot the denoised signal

In grove: Wavelet Functional ANOVA Through Markov Groves

Description

This function plots the credible bounds of the denoised signal.

Usage

PlotFun(data, p = c(0.025, 0.5, 0.975), band.type = "pointwise",
  main = "", col = "blue", type = "l", ylab = "", xlab = "",
  ylim = NULL)

Arguments

data	Matrix of posterior samples.
p	Vector with the lower, center and upper quantile.
band.type	Type of credible intervals. The options are: pointwise, gloabl or global.
main	The main title of the plot.
col	The color of the point estimate.
type	The type of line of the point estimate.
ylab	The label of the y-axis.
xlab	The label of the x-axis.
ylim	The range of the y-axis.

Value

A plot.

Examples

data <- wavethresh::DJ.EX(n = 512, noisy = TRUE, rsnr = 5)$doppler
W <- DWT(data)
ans <- Denoise(W)
denoised.data <- InvDWT(ans)
PlotFun(denoised.data)
PlotFun(denoised.data, band.type = "both")

Example output

grove documentation built on May 2, 2019, 5:55 a.m.