Nothing
# keep_marked_column()
test_that("keep_marked_column() keeps or removes column", {
expect_true(
ncol(keep_marked_column(qualtrics_numeric, "ResponseId", keep = TRUE)) == 16
)
expect_true(
ncol(keep_marked_column(qualtrics_numeric, "ResponseId",
keep = FALSE
)) == 15
)
})
# print_data()
test_that("print_data() returns data visibly or invisibly", {
expect_visible(print_data(qualtrics_numeric, print = TRUE))
expect_invisible(print_data(qualtrics_numeric, print = FALSE))
})
# print_exclusion()
test_that("print_exclusions() calculates correctly", {
test <- qualtrics_numeric[1:75, ]
expect_message(
print_exclusion(test, qualtrics_numeric, "test rows"),
"25 out of 100 test rows were excluded, leaving 75 rows"
)
})
# validate_columns
test_that("validate_columns() checks column number properly", {
expect_error(
mark_duplicates(qualtrics_numeric,
id_col = c("ResponseID", "IPAddress")
),
"requires 1 column name"
)
expect_error(
mark_duplicates(qualtrics_numeric, location_col = "ResponseID"),
"requires 2 column names"
)
expect_error(
mark_duplicates(qualtrics_numeric,
location_col = c("ResponseID", "ResponseID")
),
"same column name was entered twice"
)
})
test_that("validate_columns() checks column names properly", {
expect_error(validate_columns(qualtrics_numeric, "ResponseId"), NA)
expect_error(
validate_columns(qualtrics_numeric, "ResponseID"),
"was not found in the data frame"
)
expect_error(
mark_duplicates(qualtrics_numeric, id_col = "ResponseID"),
"was not found in the data frame"
)
expect_error(
mark_duplicates(qualtrics_numeric,
location = c("ResponseID", "LocationLongitude")
),
"was not found in the data frame"
)
expect_error(
mark_duplicates(qualtrics_numeric,
location = c("LocationLatitude", "ResponseID")
),
"was not found in the data frame"
)
})
test_that("validate_columns() checks column type properly", {
expect_error(
mark_duplicates(qualtrics_numeric, ip_col = "LocationLatitude"),
"data type is character"
)
expect_error(
mark_duplicates(qualtrics_numeric,
location_col = c("IPAddress", "Resolution")
),
"data type is numeric"
)
expect_error(
mark_duration(qualtrics_numeric, duration_col = "IPAddress"),
"data type is numeric"
)
expect_error(
mark_preview(qualtrics_text, preview_col = "Finished"),
"data type is character or numeric"
)
expect_error(
mark_progress(qualtrics_text, finished_col = "IPAddress"),
"data type is logical or numeric"
)
})
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