# CDF: Cumulative Distribution Function From Kernel Density Estimate

## Description

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

## Usage

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

## Arguments

f

Density estimate (object of class `"density"`

).

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.

## Value

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

## 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`

.

## Examples

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