spatstat (version 1.63-0)

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").

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.

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.

See Also

density, quantile.density

Examples

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