Nothing
context('externalMetrics')
skip_if_not_installed('mclustcomp')
skip_if_not_installed('clusterCrit')
skip_if_not_installed('psych')
skip_if_not_installed('igraph')
rngReset()
externalMetrics = getExternalMetricNames() %>% setdiff('McNemar')
test_that('two clusters', {
for(name in externalMetrics) {
value = externalMetric(testModel2, testModel2, name=name)
expect_is(value, 'numeric')
expect_length(value, 1)
expect_true(is.finite(value), info=name)
}
})
test_that('single cluster', {
for(name in externalMetrics) {
suppressWarnings({
value = externalMetric(testModel1, testModel1, name=name)
})
expect_is(value, 'numeric')
expect_length(value, 1)
}
})
test_that('different clusters', {
for(name in externalMetrics) {
value = externalMetric(testModel2, testModel3, name=name)
expect_is(value, 'numeric')
expect_length(value, 1)
expect_true(is.finite(value), info=name)
}
})
test_that('error on empty name', {
expect_error(externalMetric(testModel1, testModel2, name = NULL))
})
test_that('default names', {
# if this test fails then the documentation needs to be updated
expect_error(externalMetric(testModel1, testModel2))
})
test_that('missing metric', {
expect_warning(met <- externalMetric(testModel1, testModel2, '.MISSING'))
expect_true(is.na(met))
})
test_that('metric definition', {
expect_true(is.function(getExternalMetricDefinition('adjustedRand')))
})
test_that('missing metric definition', {
expect_error(getExternalMetricDefinition('.MISSING'))
})
test_that('define metric', {
fun = function(m1, m2) { }
defineExternalMetric('.NEW', fun)
expect_warning(defineExternalMetric('.NEW', fun))
expect_equal(getExternalMetricDefinition('.NEW'), fun)
})
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