test_that("PomaNorm handles valid SummarizedExperiment objects", {
data <- create_mock_summarized_experiment()
normalized_data <- PomaNorm(data, method = "auto_scaling")
expect_is(normalized_data, "SummarizedExperiment")
})
test_that("PomaNorm stops with non-SummarizedExperiment objects", {
data <- data.frame(matrix(runif(100), ncol = 10))
expect_error(PomaNorm(data), "data is not a SummarizedExperiment object")
})
test_that("PomaNorm handles sample normalization methods correctly", {
data <- create_mock_summarized_experiment()
normalized_data_sum <- PomaNorm(data, sample_norm = "sum")
normalized_data_quantile <- PomaNorm(data, sample_norm = "quantile")
expect_is(normalized_data_sum, "SummarizedExperiment")
expect_is(normalized_data_quantile, "SummarizedExperiment")
})
test_that("PomaNorm handles different normalization methods correctly", {
data <- create_mock_summarized_experiment()
for (method in c("none", "auto_scaling", "level_scaling", "log_scaling", "log",
"vast_scaling", "log_pareto", "min_max", "box_cox")) {
normalized_data <- PomaNorm(data, method = method)
expect_is(normalized_data, "SummarizedExperiment")
}
})
test_that("PomaNorm stops with incorrect normalization method argument", {
data <- create_mock_summarized_experiment()
expect_error(PomaNorm(data, method = "invalid_method"), "Incorrect value for method argument")
})
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