#' @importFrom SummarizedExperiment SummarizedExperiment
#' @importFrom tibble tibble
## create se
a <- matrix(seq_len(100), nrow = 10, ncol = 10,
dimnames = list(seq_len(10), paste("sample", seq_len(10))))
a[c(1, 5, 8), seq_len(5)] <- NA
set.seed(1)
a <- a + rnorm(100)
cD <- data.frame(sample = colnames(a), type = c(rep("1", 5), rep("2", 5)))
rD <- data.frame(spectra = rownames(a))
se <- SummarizedExperiment::SummarizedExperiment(assay = a,
rowData = rD, colData = cD)
## function hist_sample
test_that("hist_sample_num and hist_sample", {
tbl <- hist_sample_num(se, category = "type")
g <- hist_sample(tbl)
expect_equal(tbl,
tibble::tibble(names = c("1", "2"), values = as.integer(c(5.0, 5.0))))
expect_is(g, "plotly")
# expect_error(hist_sample_num(se, category = "foo"),
# "Input must be a vector")
expect_error(hist_sample_num(NULL, category = "type"),
"unable to find an inherited method for function")
})
## function mosaic
test_that("mosaic", {
g <- mosaic(se, "sample", "type")
expect_error(mosaic(NULL, "sample", "type"),
"unable to find an inherited method for function")
expect_error(mosaic(se, "foo", "type"), "'arg' should be one of ")
expect_error(mosaic(se, "sample", "foo"), "'arg' should be one of ")
expect_is(g, "gg")
})
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