truh (version 1.0.0)

nearest: Nearest neighbor computation for the TRUH statistic

Description

For a given \(d\) dimensional vector \(\mathbf{y}\), this function finds the nearest neighbor of \(\mathbf{y}\) in a \(n\times d\) matrix \(\mathbf{U}\).

Usage

nearest(y, U, n, d)

Arguments

y

a \(d\) dimensional vector.

U

a \(n\times d\) matrix where \(n\) represents the sample size and \(d\) is the dimension of each sample.

n

the sample size.

d

dimension of each sample.

Value

1. d1 - nearest neighbor of \(\mathbf{y}\) in \(\mathbf{U}\)

2. d2 - nearest neighbor of d1 in \(\mathbf{U}\)

See Also

truh

Examples

# NOT RUN {
library(truh)
n = 100
d = 3
set.seed(1)
y = rnorm(3)
set.seed(2)
U = matrix(rnorm(n*d),nrow=n,ncol=d)
out = nearest(y,U,n,d)

# }