MHI: Modified Hypograph Index (MHI) for a functional dataset

In ehymet: Methodologies for Functional Data Based on the Epigraph and Hypograph Indices

Modified Hypograph Index (MHI) for a functional dataset

Description

The Modified Hypograph Index of a curve x is the proportion of "time" the curves in the sample are below x.

Usage

MHI(curves, ...)

Arguments

curves	matrix where each row represents a curve, and each column represents values along the curve or an array with dimension n \times p \times q with n curves, p values along the curve, and q dimensions.
...	Ignored.

Value

numeric vector containing the MHI for each curve.

Examples

x <- matrix(c(1, 2, 3, 3, 2, 1, 5, 2, 3, 9, 8, 7), ncol = 3, nrow = 4)
MHI(x)
y <- array(c(1, 2, 3, 3, 2, 1, 5, 2, 3, 9, 8, 7, -1, -5, -6, 2, 3, 0, -1, 0, 2, -1, -2, 0),
  dim = c(3, 4, 2)
)
MHI(y)

ehymet documentation built on June 22, 2024, 10:50 a.m.