spatstat.explore (version 3.2-3)

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)

Value

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

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.

Author

Adrian Baddeley , Rolf Turner and Ege Rubak

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.

See Also

density, quantile.density

Examples

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