CDF: Cumulative Distribution Function From Kernel Density Estimate

In spatstat.core: Core Functionality of the 'spatstat' Family

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)

\spatstatAuthors

See Also

density, quantile.density

Examples

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

spatstat.core documentation built on May 18, 2022, 9:05 a.m.