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# ===========================================================================
# File: "runit_bestCriterion.R"
# Created: 2012-11-06 20:02:30
# Last modification: 2016-05-27 11:04:33
# Author: Bernard Desgraupes
# e-mail: <bdesgraupes@users.sourceforge.net>
# Unit test file for the R package clusterCrit.
# ===========================================================================
test.bestCriterion <- function() {
dataPath <- file.path(path.package(package="clusterCrit"),"unitTests","data","testsInternal_400_4.Rdata")
load(file=dataPath, envir=.GlobalEnv)
crits <- getCriteriaNames(TRUE)
len <- length(crits)
vals <- matrix(nrow=len,ncol=6)
rownames(vals) <- crits
colnames(vals) <- paste("P",2:7,sep="")
for (k in 2:7) {
traj <- traj_400_4
part <- part_400_4[[k]]
# Calculate all the internal indices
indices <- intCriteria(traj,part,"all")
for (i in 1:len) {
vals[i,k-1] <- as.numeric(indices[[i]])
}
}
result <- vector(mode="numeric", length=len)
names(result) <- crits
for (i in 1:len) {
cn <- crits[i]
idx <- bestCriterion(vals[i,],cn)
if (!is.null(idx)) {
result[i] <- idx+1
}
}
cat("\nBest criterion yields (expected 4):\n")
cat(result,"\n")
expected <- c(3,7,4,4,5,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,2,2,2,4,4,4,5,4,2,4,3,7,7,3,4,4,4,4,3,4,4)
checkEqualsNumeric(result,expected)
}
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