padded_range: Generates axis-wise range limits with padding

In dc165/Hypervolume-Dev: High Dimensional Geometry and Set Operations Using Kernel Density Estimation, Support Vector Machines, and Convex Hulls

Description

For each data axis, finds the minimum and maximum values. Then pads this range by a multiplicative factor of the range interval, and pads again by an additive amount.

Usage

padded_range(data, multiply.interval.amount = 0, add.amount = 0)

Arguments

data	A m x n matrix whose range limits should be found.
multiply.interval.amount	A non-negative factor used to multiply the range interval. Can have either dimensionality 1 or n.
add.amount	A non-negative factor used to add to the range limits. Can have either dimensionality 1 or n.

Value

A 2 x n matrix, whose first row is the low value along each axis and whose second row is the high value along each axis.

Examples

data(iris)
iris_rangebox_nopadding = padded_range(iris[,1:3])
iris_rangebox_padding = padded_range(iris[,1:3], multiply.interval.amount=0.5, add.amount=0.1)

dc165/Hypervolume-Dev documentation built on Dec. 13, 2020, 6:02 p.m.