knnBi: Calculate the distance to the k'th nearest neighbour for a...

In hotneim/lgde: Implements the Locally Gaussian Density Estimator

Description

Calculate the distance to the k'th nearest neighbour for a given bivariate data set, on a given grid.

Usage

knnBi(data, grid, k)

Arguments

data	The data set, a nx2-matrix.
grid	The grid, a dx2-matrix.
k	The number of neighbours.

Value

A vector of length d containing the distance to the k'th nearest neighbour for each grid point.

Examples

data <- cbind(rnorm(100), rnorm(100))
grid <- cbind(c(-1, 0, 1), c(-1, 0, 1))
k <- 10
knnBi(data, grid, k)

hotneim/lgde documentation built on May 17, 2019, 4:52 p.m.