Expectations: text

Test whether variables in a data frame contain common NULL placeholders.

expect_text_miss(
  vars,
  miss = getOption("testdat.miss_text"),
  flt = TRUE,
  data = get_testdata()
)

expect_text_nmiss(
  vars,
  miss = getOption("testdat.miss_text"),
  flt = TRUE,
  data = get_testdata()
)

Arguments

vars

<tidy-select> A set of columns to test.

miss

A vector of values to be treated as missing. The testdat.miss or testdat.miss_text option is used by default.

flt

<data-masking> A filter specifying a subset of the data frame to test.

data

A data frame to test. The global test data is used by default.

Value

expect_*() functions are mainly called for their side effects. The expectation signals its result (e.g. "success", "failure"), which is logged by the current test reporter. In a non-testing context the expectation will raise an error with class expectation_failure if it fails.

See also

Checks: text

Other data expectations: conditional-expectations, datacomp-expectations, date-expectations, exclusivity-expectations, expect_depends(), generic-expectations, label-expectations, pattern-expectations, proportion-expectations, uniqueness-expectations, value-expectations

Examples

sales <- data.frame(
  sale_id = 1:5,
  date = c("20200101", "null", "20200102", "20200103", "null"),
  sale_price = c(10, -1, 30, 40, -1)
)

# Dates not missing
try(expect_text_nmiss(date, data = sales))
#> Error : `sales` has 2 records failing missing check on variable `date`.
#> Variable set: `date`
#> Filter: None
#> Arguments: `miss = <chr: "error", "null", "0", ".", "-", ...>`

# Date missing if price negative
try(expect_text_miss(date, flt = sale_price %in% -1, data = sales))