hypervolume (version 2.0.12)

expectation_ball: Hypersphere expectation

Description

Generates expectation hypervolume corresponding to a hypersphere that minimally encloses the data.

Usage

expectation_ball(input, point.density = NULL, num.samples = NULL,
                 use.random = FALSE)

Arguments

input

A m x n matrix or data frame, where m is the number of observations and n is the dimensionality.

point.density

The point density of the output expectation. If NULL, defaults to v / num.points where d is the dimensionality of the input and v is the volume of the hypersphere.

num.samples

The number of points in the output expectation. If NULL, defaults to 10^(3+sqrt(ncol(d))) where d is the dimensionality of the input. num.points has priority over point.density; both cannot be specified.

use.random

If TRUE and the input is of class Hypervolume, sets boundaries based on the @RandomPoints slot; otherwise uses @Data.

Value

A Hypervolume-class object corresponding to the expectation.

Examples

# NOT RUN {
data(iris)
e_ball <- expectation_ball(iris[,1:3])
# }