joincount.mc: Permutation test for same colour join count statistics

Description

A permutation test for same colour join count statistics calculated by using nsim random permutations of fx for the given spatial weighting scheme, to establish the ranks of the observed statistics (for each colour) in relation to the nsim simulated values.

Usage

joincount.mc(fx, listw, nsim, zero.policy=FALSE, alternative="greater",
 spChk=NULL)

Arguments

a factor of the same length as the neighbours and weights objects in listw

listw

a listw object created for example by nb2listw

nsim

number of permutations

zero.policy

if TRUE assign zero to the lagged value of zones without neighbours, if FALSE assign NA

alternative

a character string specifying the alternative hypothesis, must be one of greater (default), less or two.sided.

spChk

should the data vector names be checked against the spatial objects for identity integrity, TRUE, or FALSE, default NULL to use get.spChkOption()

Value

A list with class jclist of lists with class htest and mc.sim for each of the k colours containing the following components:
statisticthe value of the observed statistic.
parameterthe rank of the observed statistic.
methoda character string giving the method used.
data.namea character string giving the name(s) of the data.
p.valuethe pseudo p-value of the test.
alternativea character string describing the alternative hypothesis.
estimatethe mean and variance of the simulated distribution.
resnsim simulated values of statistic, the final element is the observed statistic

References

Cliff, A. D., Ord, J. K. 1981 Spatial processes, Pion, p. 63-5.

Examples

Run this code

data(oldcol)
HICRIME <- cut(COL.OLD$CRIME, breaks=c(0,35,80), labels=c("low","high"))
names(HICRIME) <- rownames(COL.OLD)
joincount.mc(HICRIME, nb2listw(COL.nb, style="B"), nsim=99)
joincount.test(HICRIME, nb2listw(COL.nb, style="B"))