test_that("simulate_clusters works", {
bg_cluster <- simulate_clusters()
# test if returns a data.frame
expect_equal(class(bg_cluster), "data.frame")
# test if "Tumour", "Immune1", "Immune2", "Others" exist under "Cell.Type" column
expect_setequal(unique(bg_cluster$Cell.Type), c("Tumour", "Immune1", "Immune2", "Others"))
})
test_that("multiple_images_with_clusters works", {
imageL <- multiple_images_with_clusters(bg_sample = bg1,
cluster_shape = 2,
prop_infiltration = 0.1,
cluster_size = seq(400,500,100),
cluster_loc_x = 0,
cluster_loc_y = 0,
plot_image = FALSE)
spe <- imageL[[1]]
# test if return a list of 2 objects
expect_length(imageL, 2)
# test if each object is an spe
expect_equal(class(spe)[[1]], "SpatialExperiment")
# test if there are "Tumour" and "Immune", "Others" cells under the "Cell.Type" column
expect_setequal(colnames(SummarizedExperiment::colData(spe)), c("Cell.Type", "sample_id"))
expect_setequal(colnames(SpatialExperiment::spatialCoords(spe)), c("Cell.X.Position", "Cell.Y.Position"))
expect_setequal(unique(spe$Cell.Type), c("Tumour", "Immune", "Others"))
})
test_that("TIS works for simulating clusters", {
image <- TIS(bg_sample = bg1,
n_clusters = 3,
properties_of_clusters = C_shape1,
image_name = "cluster_image")
# test the class of the result
expect_equal(class(image)[[1]], "SpatialExperiment")
# test if there are "Tumour" and "Immune", "Others" cells under the "Cell.Type" column
expect_setequal(colnames(SummarizedExperiment::colData(image)), c("Cell.Type", "sample_id"))
expect_setequal(colnames(SpatialExperiment::spatialCoords(image)), c("Cell.X.Position", "Cell.Y.Position"))
expect_setequal(unique(image$Cell.Type), c("Tumour", "Immune", "Others"))
# test if the "name" attribute of the image is "cluster_image"
expect_identical(attr(image, "name"), "cluster_image")
})
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