R: Cumulative Distribution Function From Kernel Density Estimate

CDF {spatstat.core} | R Documentation

## 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 class '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.

### Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner r.turner@auckland.ac.nz and Ege Rubak rubak@math.aau.dk

### See Also

`density`, `quantile.density`

### Examples

       b <- density(runif(10))
       f <- CDF(b)
       f(0.5)
       plot(f)

[Package spatstat.core version 2.4-4 Index]