Calculate permutation based p-value for spatial lag.
PermutationLag(
x,
W,
n = 999,
seed = 1,
alternative = c("two.sided", "less", "greater"),
p.adjust.method = "BH",
condition = 0,
return.permutation = FALSE
)A numerical vector.
A weight matrix across all observations, i.e inverse of a pairwise distance matrix.
The number of permutations to be conducted, set to 999 by default.
Random seed used. Default is 1.
Alternative hypothesis used, default is two.sided.
Method used for multiple comparisons correction, default is BH. See p.adjust.
Value under null hypothesis to compare with, default is 0.
Return permutations. Default is FALSE.
A list containing the following:
lag, spatial lag.
p.val, permutation based p-value.
p.adj, adjusted p-values.
return.permutation, permutation used if returned.