Nothing
#test outputs of creating the mxFDA object
#data processesing for tests
clinical = lung_df %>%
dplyr::select(image_id, patient_id, patientImage_id, gender, age, survival_days, survival_status, stage) %>%
dplyr::distinct()
spatial = lung_df %>%
select(-image_id, -gender, -age, -survival_days, -survival_status, -stage)
sample_id_column = "patientImage_id"
#make sure that the class of the output object is right and slots is right
test_that("Right class", {
mxFDAobject = make_mxfda(metadata = clinical,
spatial = spatial,
subject_key = "patient_id",
sample_key = sample_id_column)
#should be of right class
#makes sure that while adding slots something didn't get goofed
expect_equal(class(mxFDAobject)[1], "mxFDA")
})
#need to have the sample_key in both metadata and spatial IF spatial is provided
test_that("sample_key needs to be present", {
#clinical and spatial both need the sample_key column
expect_error(make_mxfda(metadata = clinical %>% dplyr::select(-!!sample_id_column),
spatial = spatial,
subject_key = "patient_id",
sample_key = sample_id_column))
expect_error(make_mxfda(metadata = clinical,
spatial = spatial %>% dplyr::select(-!!sample_id_column),
subject_key = "patient_id",
sample_key = sample_id_column))
expect_error(make_mxfda(metadata = clinical,
spatial = spatial,
sample_key = sample_id_column))
expect_error(make_mxfda(metadata = clinical,
spatial = spatial,
subject_key = "patient_id"))
})
#don't need to have spatial if providing derived later
test_that("No spatial", {
#should work without the need for spatial information
expect_no_error(make_mxfda(metadata = clinical %>% dplyr::select(-!!sample_id_column),
spatial = NULL,
subject_key = "patient_id",
sample_key = sample_id_column))
})
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