# kernel.factor

From spatstat v1.63-0
by Adrian Baddeley

##### Scale factor for density kernel

Returns a scale factor for the kernels used in density estimation for numerical data.

- Keywords
- methods, smooth, nonparametric

##### Usage

`kernel.factor(kernel = "gaussian")`

##### Arguments

- kernel
String name of the kernel. Options are

`"gaussian"`

,`"rectangular"`

,`"triangular"`

,`"epanechnikov"`

,`"biweight"`

,`"cosine"`

and`"optcosine"`

. (Partial matching is used).

##### Details

Kernel estimation of a probability density in one dimension
is performed by `density.default`

using a kernel function selected from the list above.

This function computes a scale constant for the kernel. For the Gaussian kernel, this constant is equal to 1. Otherwise, the constant \(c\) is such that the kernel with standard deviation \(1\) is supported on the interval \([-c,c]\).

For more information about these kernels,
see `density.default`

.

##### Value

A single number.

##### See Also

##### Examples

```
# NOT RUN {
kernel.factor("rect")
# bandwidth for Epanechnikov kernel with half-width h=1
h <- 1
bw <- h/kernel.factor("epa")
# }
```

*Documentation reproduced from package spatstat, version 1.63-0, License: GPL (>= 2)*

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