test.dataCT: Test functions for wavelet regression and thresholding
In wavethresh: Wavelets Statistics and Transforms

test.dataCT

R Documentation

Test functions for wavelet regression and thresholding

Description

This function evaluates the "blocks", "bumps", "heavisine" and "doppler" test functions of Donoho & Johnstone (1994b) and the piecewise polynomial test function of Nason & Silverman (1994). The function also generates data sets consisting of the specified function plus uncorrelated normally distributed errors.

Usage

test.dataCT(type = "ppoly", n = 512, signal = 1, rsnr = 7, plotfn = FALSE)

Arguments

`type`	Test function to be computed. Available types are "ppoly" (piecewise polynomial), "blocks", "bumps", "heavi" (heavisine), and "doppler".
`n`	Number of equally spaced data points on which the function is evaluated.
`signal`	Scaling parameter; the function will be scaled so that the standard deviation of the data points takes this value.
`rsnr`	Root signal-to-noise ratio. Specifies the ratio of the standard deviation of the function to the standard deviation of the simulated errors.
`plotfn`	If `plotfn=TRUE`, then the test function and the simulated data set are plotted

Value

A list with the following components:

`x`	The points at which the test function is evaluated.
`y`	The values taken by the test function.
`ynoise`	The simulated data set.
`type`	The type of function generated, identical to the input parameter type.
`rsnr`	The root signal-to-noise ratio of the simulated data set, identical to the input parameter rsnr.