test_that("redcap_wider() returns expected output", {
  list <- list(data.frame(record_id = c(1,2,1,2), redcap_event_name = c("baseline", "baseline", "followup", "followup"), age = c(25,26,27,28)),
               data.frame(record_id = c(1,2), redcap_event_name = c("baseline", "baseline"), gender = c("male", "female")))

  expect_equal(redcap_wider(list),
               data.frame(record_id = c(1,2),
                          age_baseline = c(25,26),
                          age_followup = c(27,28),
                          gender = c("male","female")))
})


# Using test data

# Set up the path and data -------------------------------------------------
file_paths <- sapply(
  c(records = "WARRIORtestForSoftwa_DATA_2018-06-21_1431.csv",
    metadata = "WARRIORtestForSoftwareUpgrades_DataDictionary_2018-06-21.csv"),
  get_data_location
)

redcap <- lapply(file_paths, read.csv, stringsAsFactors = FALSE)
redcap[["metadata"]] <- with(redcap, metadata[metadata[, 1] > "",])
list <-
  with(redcap, REDCap_split(records, metadata, forms = "all"))

wide_ds <- redcap_wider(list)

test_that("redcap_wider() returns wide output from CSV",{
  expect_equal(ncol(wide_ds),171)
})