sortCrit: sortCrit called by correctionTree
In geozoning: Zoning Methods for Spatial Data

Description Usage Arguments Details Value Examples

sortCrit called by correctionTree

1 2	sortCrit(qProb, crit, cost, costL, nz, mdist, listOfZ, map, disp = 0, SAVE = FALSE)

`qProb`	probability vector used to generate quantile values
`crit`	list of criteria
`cost`	list of costs
`costL`	list of per label costs
`nz`	list of number of zones
`mdist`	list of distance matrices
`listOfZ`	list of zoning objects
`map`	object returned by function genMap
`disp`	0: no info, 1: plot best corrected zoning
`SAVE`	logical value, if TRUE function returns more elements

sort last level criteria from list of zonings, return criteria and list of zonings if SAVE=TRUE, otherwise only return last level criteria

a list with components

bestcrit: best criterion value at last level
critList: criterion values at last level
costList: cost values at last level
costLList: cost per label values at last level
nzList: vector of number of zones at last level
qProb: vector of probabilities values used for quantiles
zk: (SAVE=TRUE) list of zoning objects (such as returned by calNei function), first element corresponds to initial zoning, each other element is a list with each (last if ALL=FALSE) level zoning objects
mdist: (SAVE=TRUE) list of initial distance matrix and all (last if ALL=FALSE) level distance matrices
crit: (SAVE=TRUE) list of initial criterion and all (last if ALL=FALSE) level criteria
cost: (SAVE=TRUE) list of initial cost and all (last if ALL=FALSE) level costs
costL: (SAVE=TRUE) list of initial cost per label and all (last if ALL=FALSE) level costs per label
nz: (SAVE=TRUE) list of initial number of zones and all (last if ALL=FALSE) level number of zones

data(mapTest)
qProb=c(0.4,0.7)
criti=correctionTree(qProb,mapTest)
# displays best criterion, corresponding costs and number of zones
geozoning:::sortCrit(qProb,criti$criterion,criti$cost,criti$costL,
            criti$nz,criti$mdist,criti$zk,mapTest)