Permutation based Moran's I — PermutationMoransI • spots

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

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)
}