plot.kernel.conv: Plot for Convolutions of r'th Derivative Kernel Function

In kedd: Kernel Estimator and Bandwidth Selection for Density and Its Derivatives

Plot for Convolutions of r'th Derivative Kernel Function

Description

The plot.kernel.conv function loops through calls to the kernel.conv function. Plot for convolutions of r'th derivative kernel function one-dimensional.

Usage

## S3 method for class 'kernel.conv'
plot(x, ...)

Arguments

x	object of class kernel.conv (output from kernel.conv).
...	other graphics parameters, see par in package "graphics".

Value

Plot of 1-d for convolution of r'th derivative kernel function are sent to graphics window.

Author(s)

Arsalane Chouaib Guidoum [e-mail]

See Also

kernel.conv.

Examples

## Gaussian kernel
oldpar <- par(no.readonly = TRUE)
dev.new()
par(mfrow=c(2,2))
plot(kernel.conv(kernel="gaussian",deriv.order=0))
plot(kernel.conv(kernel="gaussian",deriv.order=1))
plot(kernel.conv(kernel="gaussian",deriv.order=2))
plot(kernel.conv(kernel="gaussian",deriv.order=3))

## Silverman kernel

dev.new()
par(mfrow=c(2,2))
plot(kernel.conv(kernel="silverman",deriv.order=0))
plot(kernel.conv(kernel="silverman",deriv.order=1))
plot(kernel.conv(kernel="silverman",deriv.order=2))
plot(kernel.conv(kernel="silverman",deriv.order=3))

par(oldpar)

kedd documentation built on May 29, 2024, 1:45 a.m.