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Cleaning up code for #12
test now compares read_csv and read.csv output directly.
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@ -87,11 +87,7 @@ REDCap_split <- function(records,
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# Process user input
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records <- process_user_input(records)
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metadata <- process_user_input(metadata)
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# Remove "tbl_df" class from metadata, if present, due to difference in
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# `[.tbl_df` behavior as compared to `[.data.frame` behavior (see issue #12)
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if(inherits(metadata, "tbl_df")) class(metadata) <- "data.frame"
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metadata <- as.data.frame(process_user_input(metadata)) # See issue #12
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# Get the variable names in the dataset
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vars_in_data <- names(records)
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@ -13,10 +13,10 @@ records <- read.csv(
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)
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)
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redcap_output_csv1 <- REDCap_split(records, metadata)
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# Test that basic CSV export matches reference ------------------------------
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test_that("CSV export matches reference", {
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redcap_output_csv1 <- REDCap_split(records, metadata)
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expect_known_hash(redcap_output_csv1, "f74558d1939c17d9ff0e08a19b956e26")
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})
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@ -29,3 +29,42 @@ if (requireNamespace("Hmisc", quietly = TRUE)) {
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})
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}
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if (requireNamespace("readr", quietly = TRUE)) {
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context("Compatibility with readr")
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metadata <- readr::read_csv(
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get_data_location(
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"ExampleProject_DataDictionary_2018-06-07.csv"
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)
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)
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records <- readr::read_csv(
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get_data_location(
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"ExampleProject_DATA_2018-06-07_1129.csv"
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)
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)
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redcap_output_readr <- REDCap_split(records, metadata)
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expect_matching_elements <- function(FUN) {
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FUN <- match.fun(FUN)
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expect_identical(
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lapply(redcap_output_readr, FUN),
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lapply(redcap_output_csv1, FUN)
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)
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}
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test_that("Result of data read in with `readr` will match result with `read.csv`", {
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# The list itself
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expect_identical(length(redcap_output_readr), length(redcap_output_csv1))
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expect_identical(names(redcap_output_readr), names(redcap_output_csv1))
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# Each element of the list
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expect_matching_elements(names)
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expect_matching_elements(dim)
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})
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}
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@ -1,22 +0,0 @@
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if (requireNamespace("readr", quietly = TRUE)) {
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context("Compatibility with readr")
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metadata <- readr::read_csv(
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get_data_location(
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"ExampleProject_DataDictionary_2018-06-07.csv"
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)
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)
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records <- readr::read_csv(
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get_data_location(
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"ExampleProject_DATA_2018-06-07_1129.csv"
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)
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)
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test_that("Data read in with `readr` will return correct result", {
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redcap_output_readr <- REDCap_split(records, metadata)
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expect_known_hash(redcap_output_readr, "bde303d330fba161ca500c10cfabb693")
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})
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}
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