Nothing
set.seed(123)
mat <- matrix(rnorm(100), nrow = 10)
dimnames(mat) <- list(paste0("row", 1:10), paste0("col", 1:10))
test_that("align_hclust runs with default parameters", {
expect_doppelganger(
"align_hclust default",
ggheatmap(mat) +
anno_top() +
align_hclust(data = mat)
)
})
test_that("align_hclust supports Pearson distance", {
expect_doppelganger(
"align_hclust with Pearson distance",
ggheatmap(mat) +
anno_top() +
align_hclust(data = mat, distance = "pearson")
)
})
test_that("align_hclust errors on invalid reorder_dendrogram argument", {
expect_snapshot_error(
align_hclust(data = mat, reorder_dendrogram = 123)
)
})
test_that("align_hclust errors if k is not a whole number or NULL", {
expect_snapshot_error(
align_hclust(data = mat, k = "invalid")
)
})
test_that("align_hclust errors if h is not a numeric scalar or NULL", {
expect_snapshot_error(
align_hclust(data = mat, h = "invalid")
)
})
test_that("align_hclust accepts reorder_dendrogram as a function", {
reorder_fun <- function(tree, data) stats::as.dendrogram(tree)
expect_doppelganger(
"align_hclust with reorder function",
ggheatmap(mat) +
anno_top() +
align_hclust(data = mat, reorder_dendrogram = reorder_fun)
)
})
test_that("align_hclust accepts reorder_dendrogram = TRUE", {
expect_doppelganger(
"align_hclust with reorder_dendrogram TRUE",
ggheatmap(mat) +
anno_top() +
align_hclust(data = mat, reorder_dendrogram = TRUE)
)
})
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