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47 lines
1.2 KiB
R
47 lines
1.2 KiB
R
test_that("redcap_wider() returns expected output", {
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list <-
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list(
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data.frame(
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record_id = c(1, 2, 1, 2),
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redcap_event_name = c("baseline", "baseline", "followup", "followup"),
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age = c(25, 26, 27, 28)
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),
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data.frame(
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record_id = c(1, 2),
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redcap_event_name = c("baseline", "baseline"),
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gender = c("male", "female")
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)
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)
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expect_equal(
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redcap_wider(list),
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data.frame(
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record_id = c(1, 2),
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age_baseline = c(25, 26),
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age_followup = c(27, 28),
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gender = c("male", "female")
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)
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)
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})
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# Using test data
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# Set up the path and data -------------------------------------------------
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file_paths <- lapply(
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c(records = "WARRIORtestForSoftwa_DATA_2018-06-21_1431.csv",
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metadata = "WARRIORtestForSoftwareUpgrades_DataDictionary_2018-06-21.csv"),
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get_data_location
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)
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redcap <- lapply(file_paths, read.csv, stringsAsFactors = FALSE)
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redcap[["metadata"]] <- with(redcap, metadata[metadata[, 1] > "", ])
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list <-
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with(redcap, REDCap_split(records, metadata, forms = "all"))
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wide_ds <- redcap_wider(list)
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test_that("redcap_wider() returns wide output from CSV", {
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expect_equal(ncol(wide_ds), 171)
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})
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