joincount.mc
From spdep v0.69
by Roger Bivand
Permutation test for same colour join count statistics
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.
 Keywords
 spatial
Usage
joincount.mc(fx, listw, nsim, zero.policy=FALSE, alternative="greater", spChk=NULL)
Arguments
 fx
 a factor of the same length as the neighbours and weights objects in listw
 listw
 a
listw
object created for example bynb2listw
 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), or "less".
 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:References
Cliff, A. D., Ord, J. K. 1981 Spatial processes, Pion, p. 635.
See Also
Examples
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"))
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