klaR (version 0.4-1)

dkernel: 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.

concept

Kernel density estimation

See Also

density, NaiveBayes

Examples

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

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