spatstat (version 1.45-0)

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 class 'density': CDF(f, \dots, 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

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

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