joincount.mc

0th

Percentile

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 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), 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. 63-5.

See Also

joincount.test

Aliases
  • joincount.mc
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"))
Documentation reproduced from package spdep, version 0.6-9, License: GPL (>= 2)

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