REDCapCAST/tests/testthat/test-csv-exports.R

87 lines
2.3 KiB
R

# Set up the path and data -------------------------------------------------
metadata <- read.csv(
get_data_location("ExampleProject_DataDictionary_2018-06-07.csv"),
stringsAsFactors = TRUE
)
records <-
read.csv(get_data_location("ExampleProject_DATA_2018-06-07_1129.csv"),
stringsAsFactors = TRUE
)
redcap_output_csv1 <- REDCap_split(records, metadata)
# Test that basic CSV export matches reference ------------------------------
test_that("CSV export matches reference", {
expect_known_hash(redcap_output_csv1, "cb5074a06e1abcf659d60be1016965d2")
})
# Test that REDCap_split can handle a focused dataset
records_red <- records[
!records$redcap_repeat_instrument == "sale",
!names(records) %in%
metadata$field_name[metadata$form_name == "sale"] &
!names(records) == "sale_complete"
]
records_red$redcap_repeat_instrument <-
as.character(records_red$redcap_repeat_instrument)
redcap_output_red <- REDCap_split(records_red, metadata)
test_that("REDCap_split handles subset dataset", {
testthat::expect_length(redcap_output_red, 1)
})
# Test that R code enhanced CSV export matches reference --------------------
if (requireNamespace("Hmisc", quietly = TRUE)) {
test_that("R code enhanced export matches reference", {
redcap_output_csv2 <-
REDCap_split(REDCap_process_csv(records), metadata)
expect_known_hash(redcap_output_csv2, "578dc054e59ec92a21e950042e08ee37")
})
}
if (requireNamespace("readr", quietly = TRUE)) {
metadata <-
readr::read_csv(get_data_location(
"ExampleProject_DataDictionary_2018-06-07.csv"
))
records <-
readr::read_csv(get_data_location(
"ExampleProject_DATA_2018-06-07_1129.csv"
))
redcap_output_readr <- REDCap_split(records, metadata)
expect_matching_elements <- function(FUN) {
FUN <- match.fun(FUN)
expect_identical(
lapply(redcap_output_readr, FUN),
lapply(redcap_output_csv1, FUN)
)
}
test_that("Result of data read in with `readr` will
match result with `read.csv`", {
# The list itself
expect_identical(
length(redcap_output_readr),
length(redcap_output_csv1)
)
expect_identical(
names(redcap_output_readr),
names(redcap_output_csv1)
)
# Each element of the list
expect_matching_elements(names)
expect_matching_elements(dim)
})
}