PermutationMoransI: Permutation based Moran's I

In stevexniu/spots: Spatial Component Analysis

Permutation based Moran's I

Description

Calculate permutation based p-value for Moran's I.

Usage

PermutationMoransI(
  x,
  W,
  n = 999,
  seed = 1,
  normalize = TRUE,
  return.permutation = FALSE
)

Arguments

x	A numerical vector.
W	A weight matrix across all observations, i.e inverse of a pairwise distance matrix.
n	The number of permutations to be conducted, set to 999 by default.
seed	Random seed used. Default is 1.
normalize	Whether to normalize the weight matrix such that each row adds up to one. Default is TRUE.
return.permutation	Return permutations. Default is FALSE.

Value

A list containing the following:

• Morans.I, the Moran's I.

• p.val, permutation based p-value.

• return.permutation, permutation used if returned.

Examples

{
data.use <- quakes[1:100,]
W <- 1/as.matrix(dist(data.use[,1:2]))
diag(W) <- 0
res <- PermutationMoransI(data.use[,3], W)
}

stevexniu/spots documentation built on July 30, 2022, 9:21 a.m.