library(scrattch.io)
context("annotation functions")
test_that(
"cl_to_anno() converts from hicat's cl object to a data.frame",
{
cl <- readRDS(system.file("testdata/hicat", "tasic16_cl.RData", package = "scrattch.io"))
result <- cl_to_anno(cl,
cl.df = NULL,
cl_col = "cl",
base = "cluster")
expect_is(result, "data.frame")
expect_equal(nrow(result), length(cl))
expect_equal(names(result), c("sample_name","cluster_id","cluster_label","cluster_color"))
expect_equal(sum(unique(result$cluster_label) %in% levels(cl)), length(levels(cl)))
}
)
test_that(
"cl_to_anno() uses cl.df to annotate hicat's cl object as a data.frame",
{
cl <- readRDS(system.file("testdata/hicat", "tasic16_cl.RData", package = "scrattch.io"))
cl.df <- readRDS(system.file("testdata/hicat", "tasic16_cl.df.RData", package = "scrattch.io"))
result <- cl_to_anno(cl,
cl.df = cl.df,
cl_col = "cl",
base = "cluster")
expect_is(result, "data.frame")
expect_equal(nrow(result), length(cl))
expect_equal(names(result), c("sample_name","cluster_id","cluster_label","cluster_color"))
result2 <- cl_to_anno(cl,
cl.df = cl.df[,names(cl.df) != "cluster_label"],
cl_col = "cl",
base = "cluster")
expect_is(result2, "data.frame")
expect_equal(nrow(result2), length(cl))
expect_equal(names(result2), c("sample_name","cluster_id","cluster_label","cluster_color"))
result3 <- cl_to_anno(cl,
cl.df = cl.df[,!names(cl.df) %in% c("cluster_label","cluster_color")],
cl_col = "cl",
base = "cluster")
expect_is(result3, "data.frame")
expect_equal(nrow(result3), length(cl))
expect_equal(names(result3), c("sample_name","cluster_id","cluster_label","cluster_color"))
result4 <- cl_to_anno(cl,
cl.df = cl.df[,!names(cl.df) %in% c("cluster_id","cluster_color")],
cl_col = "cl",
base = "cluster")
expect_is(result4, "data.frame")
expect_equal(nrow(result4), length(cl))
expect_equal(names(result4), c("sample_name","cluster_id","cluster_label","cluster_color"))
cl.df2 <- cl.df
rownames(cl.df2) <- NULL
expect_error(cl_to_anno(cl,
cl.df = cl.df2,
cl_col = "wrong",
base = "cluster"))
cl.df3 <- cl.df
rownames(cl.df3) <- letters[1:nrow(cl.df)]
expect_error(cl_to_anno(cl,
cl.df = cl.df3,
cl_col = "wrong",
base = "cluster"))
}
)
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