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# Tests for the import_instruments against the import from data returned by
# REDCapR
# Ray Balise and Gabriel Odom
# 2023-02-10
###### Setup ######
target <- structure(
list(
record_id = c(1, 2, 3, 4, 5),
name_first = structure(
c(
"Nutmeg", "Tumtum", "Marcus", "Trudy", "John Lee"
),
label = "First Name", class = c(
"labelled",
"character"
)
),
name_last = structure(
c(
"Nutmouse", "Nutmouse", "Wood", "DAG", "Walker"
), label = "Last Name", class = c(
"labelled",
"character"
)), address = structure(c(
"14 Rose Cottage St.\nKenning UK, 323232",
"14 Rose Cottage Blvd.\nKenning UK 34243",
"243 Hill St.\nGuthrie OK 73402",
"342 Elm\nDuncanville TX, 75116",
"Hotel Suite\nNew Orleans LA, 70115"
), label = "Street, City, State, ZIP", class = c(
"labelled",
"character"
)), telephone = structure(c(
"(405) 321-1111", "(405) 321-2222",
"(405) 321-3333", "(405) 321-4444", "(405) 321-5555"
), label = "Phone number", class = c(
"labelled",
"character"
)), email = structure(c(
"nutty@mouse.com", "tummy@mouse.comm",
"mw@mwood.net", "peroxide@blonde.com", "left@hippocket.com"
), label = "E-mail", class = c(
"labelled",
"character"
)), dob = structure(c(
12294, 12121, -13051, -6269,
-5375
), class = c("labelled", "Date"), label = "Date of birth"),
age = structure(c(11, 11, 80, 61, 59), label = "Age (years)", class = c(
"labelled",
"numeric"
)), sex = structure(c(
"Female", "Male", "Male",
"Female", "Male"
), label = "Gender", class = c(
"labelled",
"character"
)), demographics_complete = structure(c(
"Complete",
"Complete", "Complete", "Complete", "Complete"
), label = "Complete?...10", class = c(
"labelled",
"character"
))
),
row.names = c(NA, -5L), class = "data.frame"
)
# creates demographics
tidyREDCap::import_instruments(
"https://bbmc.ouhsc.edu/redcap/api/",
"9A81268476645C4E5F03428B8AC3AA7B"
)
###### Tests ######
test_that("import works", {
expect_equal(demographics, target)
})
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