R: Estimate density of a given kernel

dkernel {klaR} | R Documentation

## 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, karsten.luebke@fom.de

### See Also

`density`, `NaiveBayes`

### Examples

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

[Package klaR version 0.6-12 Index]