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Global Moran Test

Source: R/global-measures.R
global_moran_test.Rd

Global Moran Test

Usage

global_moran_test(
  x,
  nb,
  wt,
  alternative = "greater",
  randomization = TRUE,
  ...
)

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().

alternative

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

randomization

default TRUE. Calculate variance based on randomization. If FALSE, under the assumption of normality.

...

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

Value

an object of class htest

See also

Other global_moran: global_moran(), global_moran_bv(), global_moran_perm(), local_moran_bv()

Examples

nb <- guerry_nb$nb
wt <- guerry_nb$wt
x <- guerry_nb$crime_pers
global_moran_test(x, nb, wt)
#> 
#> 	Moran I test under randomisation
#> 
#> data:  x  
#> weights: listw    
#> 
#> Moran I statistic standard deviate = 6.0484, p-value = 7.316e-10
#> alternative hypothesis: greater
#> sample estimates:
#> Moran I statistic       Expectation          Variance 
#>       0.411459718      -0.011904762       0.004899501 
#>