# dkernel

From klaR v0.6-15
by Uwe Ligges

##### Estimate density of a given kernel

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

- Keywords
- distribution, nonparametric

##### Usage

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

##### Arguments

##### Value

Denstiy of `x`

in `kernel`

.

##### See Also

##### Examples

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

*Documentation reproduced from package klaR, version 0.6-15, License: GPL-2 | GPL-3*

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