Nothing
test_that("flatten_data binds site rows and enforces timezone", {
dat <- structure(
list(
TUM = data.frame(
id = 1,
timestamp = as.POSIXct("2024-01-01 22:00:00", tz = "UTC")
),
UCR = data.frame(
id = 2,
timestamp = as.POSIXct("2024-01-02 22:30:00", tz = "UTC")
)
),
class = c("melidos_data", "list")
)
out <- flatten_data(dat, tz = "Europe/Berlin")
expect_s3_class(out, "data.frame")
expect_equal(out$site, c("TUM", "UCR"))
expect_equal(attr(out$timestamp, "tzone"), "Europe/Berlin")
})
test_that("flatten_data errors on non-melidos_data input", {
expect_error(
flatten_data(list(a = data.frame(x = 1))),
"Input must be a list dataset loaded with `load_data\\(\\)`"
)
})
test_that("REDCap_codebook_prepare filters forms and strips formatting", {
codebook <- data.frame(
`Variable / Field Name` = c("q1", "q2"),
`Form Name` = c("sleep", "other"),
`Field Label` = c("<b>Bedtime</b><br>", "Other"),
check.names = FALSE
)
out <- REDCap_codebook_prepare(
codebook,
strings_to_ignore = "<[^>]+>",
form.filter = "sleep"
)
expect_equal(nrow(out), 1)
expect_equal(out$`Field Label`, "Bedtime")
})
test_that("REDCap_attention_check returns labelled logical column", {
dat <- data.frame(attention = c("A", "B", "A"))
out <- REDCap_attention_check(dat, attention, condition = "A", label = "Passed")
expect_type(out$attention, "logical")
expect_equal(out$attention, structure(c(TRUE, FALSE, TRUE), label = "Passed"))
expect_equal(attr(out$attention, "label"), "Passed")
expect_identical(names(out)[length(names(out))], "attention")
})
test_that("REDCap_coltype_check flags wrong and missing columns", {
codebook <- data.frame(
`Variable / Field Name` = c("q_date", "q_time", "q_num", "q_char", "q_missing"),
`Field Label` = c("Date of assessment", "Clock time", "Numeric", "Character", "Missing"),
`Field Type` = c("text", "text", "text", "text", "text"),
`Text Validation Type OR Show Slider Number` = c("", "time", "number", "", ""),
check.names = FALSE
)
dat <- data.frame(
q_date = as.Date("2024-01-01"),
q_time = hms::as_hms("08:00:00"),
q_num = "not_numeric",
q_char = "ok",
stringsAsFactors = FALSE
)
out <- REDCap_coltype_check(codebook, data = dat)
expect_false(out$ok)
expect_true("q_missing" %in% out$summary$missing)
expect_true("q_num" %in% out$summary$wrong_type$col)
})
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