Global C Permutation Test

Usage

global_c_perm(
  x,
  nb,
  wt,
  nsim = 499,
  alternative = "greater",
  allow_zero = NULL,
  ...
)

Arguments

x

A numeric vector.

nb

a neighbor list object for example as created by st_contiguity().

wt

a weights list as created by st_weights().

nsim

number of simulations to run.

alternative

default "two.sided". Should be one of "greater", "less", or "two.sided" to specify the alternative hypothesis.

allow_zero

If TRUE, assigns zero as lagged value to zone without neighbors.

...

additional arguments passed to spdep::geary.mc().

Value

an object of classes htest and mc.sim

See also

Examples

geo <- sf::st_geometry(guerry)
nb <- st_contiguity(geo)
wt <- st_weights(nb)
x <- guerry$crime_pers
global_c_perm(x, nb, wt)
#> 
#> 	Monte-Carlo simulation of Geary C
#> 
#> data:  x 
#> weights: listw 
#> number of simulations + 1: 500 
#> 
#> statistic = 0.56459, observed rank = 1, p-value = 0.002
#> alternative hypothesis: greater
#>