PermutationLag: Permutation based p-value for spatial lag

In spots: Spatial Component Analysis

Permutation based p-value for spatial lag

Description

Calculate permutation based p-value for spatial lag.

Usage

PermutationLag(
  x,
  W,
  n = 999,
  seed = 1,
  alternative = c("two.sided", "less", "greater"),
  p.adjust.method = "BH",
  condition = 0,
  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.
alternative	Alternative hypothesis used, default is two.sided.
p.adjust.method	Method used for multiple comparisons correction, default is BH. See p.adjust.
condition	Value under null hypothesis to compare with, default is 0.
return.permutation	Return permutations. Default is FALSE.

Value

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.

spots documentation built on May 3, 2022, 5:06 p.m.