ddalpha: depth.sample – R documentation

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depth.sample

Fast Depth Computation for Univariate and Bivariate Random Samples

Description

Faster implementation of the halfspace and the simplicial depth. Computes the depth of a whole random sample of a univariate or a bivariate data in one run.

Usage

depth.sample(A, B)

Arguments

`A`	Univariate or bivariate points whose depth is computed, represented by a matrix of size `m*2`. `m` stands for the number of points, `d` is 1 for univariate and 2 for bivariate data.
`B`	Random sample points with respect to which the depth of `A` is computed. `B` is represented by a matrix of size `n*2`, where `n` is the sample size.

Details

The function returns vectors of sample halfspace and simplicial depth values.

Value

Vector of length m of depth halfspace depth values is returned.

Author(s)

Stanislav Nagy, nagy at karlin.mff.cuni.cz

Examples

n = 100
m = 150
A = matrix(rnorm(2*n),ncol=2)
B = matrix(rnorm(2*m),ncol=2)
depth.sample(A,B)
system.time(D1<-depth.halfspace(A,B))
system.time(D2<-depth.sample(A,B))
max(D1-D2$Half)

A = rnorm(100)
B = rnorm(150)
depth.sample(A,B)
# depth.halfspace(matrix(A,ncol=1),matrix(B,ncol=1))

ddalpha

Depth-Based Classification and Calculation of Data Depth

v1.3.11

GPL-2

Authors

Oleksii Pokotylo [aut, cre], Pavlo Mozharovskyi [aut], Rainer Dyckerhoff [aut], Stanislav Nagy [aut]

Initial release

2020-01-09