# CDF

##### Cumulative Distribution Function From Kernel Density Estimate

Given a kernel estimate of a probability density, compute the corresponding cumulative distribution function.

- Keywords
- nonparametric, univar

##### Usage

`CDF(f, …)`# S3 method for density
CDF(f, …, warn = TRUE)

##### Arguments

- f
Density estimate (object of class

`"density"`

).- …
Ignored.

- warn
Logical value indicating whether to issue a warning if the density estimate

`f`

had to be renormalised because it was computed in a restricted interval.

##### Details

`CDF`

is generic, with a method for class `"density"`

.

This calculates the cumulative distribution function
whose probability density has been estimated and stored in the object
`f`

. The object `f`

must belong to the class `"density"`

,
and would typically have been obtained from a call to the function
`density`

.

##### Value

A function, which can be applied to any numeric value or vector of values.

##### See Also

##### Examples

```
# NOT RUN {
b <- density(runif(10))
f <- CDF(b)
f(0.5)
plot(f)
# }
```

*Documentation reproduced from package spatstat, version 1.55-1, License: GPL (>= 2)*