klaR (version 0.6-14)

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.

See Also

density, NaiveBayes

Examples

Run this code
# NOT RUN {
kern <- density(rnorm(50))
x <- seq(-3, 3, len = 100)
y <- dkernel(x, kern)
plot(x, y, type = "l")
# }

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