dkernel: Estimate density of a given kernel

In klaR: Classification and Visualization

Estimate density of a given kernel

Description

Given an estimated kernel density this function estimates the density of a new vector.

Usage

dkernel(x, kernel = density(x), interpolate = FALSE, ...)

Arguments

x	vector of which the density should be estimated
kernel	object of class density
interpolate	Interpolate or use density of nearest point?
...	currently not used.

Value

Denstiy of x in kernel.

Author(s)

Karsten Luebke, [e-mail]

See Also

density, NaiveBayes

Examples

kern <- density(rnorm(50))
x <- seq(-3, 3, len = 100)
y <- dkernel(x, kern)
plot(x, y, type = "l")

klaR documentation built on May 29, 2024, 5:20 a.m.