context("plots")
test_that("all of our plots produce nice gglot2 objects", {
# helper function
expect_is_ggplot = function(pl) {
expect_is(pl, c("gg", "ggplot"))
}
# more than three dimensions not "plotable"
x = generateRandomNetwork(n.points = 10L, n.dim = 3L)
expect_error(autoplot(x))
# no cluster, no depots
x = generateRandomNetwork(n.points = 20L)
expect_is_ggplot(autoplot(x))
expect_is_ggplot(autoplot(x, path = sample(1:20)))
expect_is_ggplot(autoplot(x, path = sample(1:10), close.path = TRUE, path.colour = "tomato"))
expect_is_ggplot(autoplot(x, path = list(a = sample(1:10), b = sample(1:10))))
expect_is_ggplot(autoplot(x, path = list(sample(1:10), sample(1:10))))
# no cluster, with depots
x = generateRandomNetwork(n.points = 20L, n.depots = 2L, upper = 100)
expect_is_ggplot(autoplot(x))
# some clusters, no depots
x = generateClusteredNetwork(n.points = 20L, n.cluster = 2L)
expect_is_ggplot(autoplot(x))
# some clusters, with depots
x = generateClusteredNetwork(n.points = 20L, n.cluster = 2L, n.depots = 2L)
expect_is_ggplot(autoplot(x))
# autoplot morphed instance
x = generateRandomNetwork(n.points = 10L, upper = 20)
y = generateClusteredNetwork(n.points = 10L, n.cluster = 2L, upper = 60)
z = morphInstances(x, y, alpha = 0.3)
expect_is_ggplot(autoplot(z))
for (show.arrows in c(TRUE, FALSE)) {
for (do.facets in c(TRUE, FALSE)) {
pl = visualizeMorphing(x, y, arrows = show.arrows, in.one.plot = do.facets)
expect_is_ggplot(pl)
}
}
# test visualization of point matchings
x = generateRandomNetwork(n.points = 10L)
y = generateClusteredNetwork(n.points = 10L, n.cluster = 2L)
pm = getOptimalPointMatching(x$coordinates, y$coordinates)
pl = visualizePointMatching(x, y, pm, highlight.longest = 3L)
expect_is_ggplot(pl)
# should work when passing matrices only as well
pl = visualizePointMatching(x$coordinates, y$coordinates, pm, highlight.longest = 3L)
expect_is_ggplot(pl)
})
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