Nothing
data(BS.cancer.ex, package = 'bsseqData')
bs = filter_loci_by_group_coverage(
bs = BS.cancer.ex,
group_column = 'Type',
c('cancer' = 2, 'normal' = 2))
small_test = bs[1:50]
#####################################
test_that('bs missing check', {
expect_error(
diff_dss_fit(),
'Must pass bs as a BSseq object',
fixed = TRUE
)
})
test_that('formula missing check', {
expect_error(
diff_dss_fit(bs = small_test),
'Must pass formula',
fixed = TRUE
)
})
#####################################
test_that('bs type check', {
expect_error(
diff_dss_fit(
bs = 'blue',
design = pData(small_test),
formula = '~ Type'),
'bs must be',
fixed = TRUE
)
})
test_that('design type check', {
expect_error(
diff_dss_fit(
bs = small_test,
design = 'hello',
formula = '~ Type'),
'design must be',
fixed = TRUE
)
})
test_that('formula type check', {
expect_error(
diff_dss_fit(
bs = small_test,
design = pData(small_test),
formula = 100),
'formula must be',
fixed = TRUE
)
})
#####################################
test_that('design message check', {
expect_message(
diff_dss_fit(
bs = small_test,
formula = '~ Type'),
'Missing design',
fixed = TRUE
)
})
#####################################
test_that('Valid return character formula check', {
diff_fit = diff_dss_fit(
bs = small_test,
design = pData(bs),
formula = '~ Type')
expect_true(is(diff_fit, 'list'))
expect_true(all(c('gr', 'design', 'formula', 'X', 'fit') %in% names(diff_fit)))
})
test_that('Valid return formula formula check', {
diff_fit = diff_dss_fit(
bs = small_test,
design = pData(bs),
formula = as.formula('~ Type'))
expect_true(is(diff_fit, 'list'))
expect_true(all(c('gr', 'design', 'formula', 'X', 'fit') %in% names(diff_fit)))
})
test_that('Valid return more complex model check', {
diff_fit = diff_dss_fit(
bs = small_test,
design = pData(bs),
formula = as.formula('~ Type + Pair'))
expect_true(is(diff_fit, 'list'))
expect_true(all(c('gr', 'design', 'formula', 'X', 'fit') %in% names(diff_fit)))
})
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