context("test feature-set: MINIMUM SPANNING TREE")
test_that("getMSTFeatureSet does produce reasonable results", {
# build this simple network object by hand
x = generateSimpleTestNetwork()
# "should be" values
mst_dists_sum.expected = (getNumberOfNodes(x) - 1L) / sum(x$distance.matrix)
# build feature set and check structure
feature.set = getMSTFeatureSet(x)
expect_feature_list(feature.set, feature.set = "MST")
# check if values are correct
expect_equal(feature.set$mst_dists_min, 1)
expect_equal(feature.set$mst_dists_mean, 1)
expect_equal(feature.set$mst_dists_median, 1)
expect_equal(feature.set$mst_dists_max, 1)
expect_equal(feature.set$mst_dists_span, 0)
expect_equal(feature.set$mst_dists_sd, 0)
expect_equal(feature.set$mst_dists_varcoeff, 0)
expect_equal(feature.set$mst_dists_sum, mst_dists_sum.expected)
})
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