test_that("PomaImpute handles valid SummarizedExperiment objects", {
data <- create_mock_summarized_experiment()
imputed_data <- PomaImpute(data, method = "mean")
expect_is(imputed_data, "SummarizedExperiment")
})
test_that("PomaImpute stops with non-SummarizedExperiment objects", {
data <- data.frame(matrix(runif(100), ncol = 10))
expect_error(PomaImpute(data), "data is not a SummarizedExperiment object")
})
test_that("PomaImpute handles zeros_as_na parameter correctly", {
data <- create_mock_summarized_experiment()
imputed_data <- PomaImpute(data, zeros_as_na = TRUE)
expect_is(imputed_data, "SummarizedExperiment")
})
test_that("PomaImpute handles remove_na and cutoff parameters correctly", {
data <- create_mock_summarized_experiment()
imputed_data <- PomaImpute(data, remove_na = TRUE, cutoff = 50)
expect_is(imputed_data, "SummarizedExperiment")
})
test_that("PomaImpute handles different imputation methods correctly", {
data <- create_mock_summarized_experiment()
for (method in c("none", "half_min", "median", "mean", "min", "knn")) { # "random_forest"
imputed_data <- PomaImpute(data, method = method)
expect_is(imputed_data, "SummarizedExperiment")
}
})
test_that("PomaImpute stops with incorrect method argument", {
data <- create_mock_summarized_experiment()
expect_error(PomaImpute(data, method = "invalid_method"), "Incorrect value for method argument")
})
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