mNearestN: m nearest neighbors based on a distance matrix

In RozetaSimonovska/SDPDmod: Spatial Dynamic Panel Data Modeling

m nearest neighbors based on a distance matrix

Description

This function finds the m nearest neighbors, given a matrix of distances.

Usage

mNearestN(distMat, m = 5, listv = FALSE, rn = FALSE)

Arguments

distMat	distance matrix
m	number of nearest neighbors, default value 5
listv	logical, default FALSE. If TRUE the list of neighbors should also be returned
rn	logical, default FALSE. If TRUE, the spatial weights matrix will be row-normalized

Value

W	spatial weights matrix
nlist	list of indexes of the m nearest neighbors

Author(s)

Rozeta Simonovska

Examples

data(gN3dist, package = "SDPDmod")
fournn <- mNearestN(gN3dist, m = 4)
mat1   <- rownor(fournn)
tennn  <- mNearestN(gN3dist, 10, listv = TRUE, rn = TRUE)
mat2   <- tennn$W

RozetaSimonovska/SDPDmod documentation built on April 14, 2024, 9:40 p.m.