# Input
liana_path <- system.file(package = "liana")
liana_cpdb <- readRDS(file.path(liana_path, "testdata",
"output", "liana_cpdb.RDS"))
liana_aggr <- readRDS(file.path(liana_path, "testdata",
"output", "liana_aggr.RDS")) %>%
filter(aggregate_rank <= 0.05)
# Test DotPlot
test_that("Test liana dotplot", {
exp1 <- readRDS(file.path(liana_path, "testdata",
"output", "liana_dotplot_out.RDS"))
res1 <- liana_dotplot(liana_cpdb,
source_groups = "B",
target_groups = c("NK", "CD8 T"),
magnitude = "lr.mean",
specificity = "pvalue",
invert_specificity = TRUE,
show_complex = TRUE,
invert_function = function(x) -log10(x+1e-10)
)
expect_identical(res1$data, exp1$data)
})
# Test Heatmaps
test_that("Test liana heatmaps", {
exp_freq <- readRDS(file.path(liana_path, "testdata",
"output", "liana_freq_out.RDS"))
res_freq <- heat_freq(liana_cpdb %>% filter(pvalue <= 0.05))
expect_identical(res_freq@matrix, exp_freq@matrix)
expect_identical(methods::slotNames(res_freq),
methods::slotNames(exp_freq))
})
# Test chord
test_that("Test liana heatmaps", {
res_chord <- chord_freq(liana_cpdb %>% filter(pvalue <= 0.05))
expect_identical(class(res_chord), "recordedplot")
})
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