Check if an argument is a factor
checkFactor(
  x,
  levels = NULL,
  ordered = NA,
  empty.levels.ok = TRUE,
  any.missing = TRUE,
  all.missing = TRUE,
  len = NULL,
  min.len = NULL,
  max.len = NULL,
  n.levels = NULL,
  min.levels = NULL,
  max.levels = NULL,
  unique = FALSE,
  names = NULL,
  null.ok = FALSE
)check_factor(
  x,
  levels = NULL,
  ordered = NA,
  empty.levels.ok = TRUE,
  any.missing = TRUE,
  all.missing = TRUE,
  len = NULL,
  min.len = NULL,
  max.len = NULL,
  n.levels = NULL,
  min.levels = NULL,
  max.levels = NULL,
  unique = FALSE,
  names = NULL,
  null.ok = FALSE
)
assertFactor(
  x,
  levels = NULL,
  ordered = NA,
  empty.levels.ok = TRUE,
  any.missing = TRUE,
  all.missing = TRUE,
  len = NULL,
  min.len = NULL,
  max.len = NULL,
  n.levels = NULL,
  min.levels = NULL,
  max.levels = NULL,
  unique = FALSE,
  names = NULL,
  null.ok = FALSE,
  .var.name = vname(x),
  add = NULL
)
assert_factor(
  x,
  levels = NULL,
  ordered = NA,
  empty.levels.ok = TRUE,
  any.missing = TRUE,
  all.missing = TRUE,
  len = NULL,
  min.len = NULL,
  max.len = NULL,
  n.levels = NULL,
  min.levels = NULL,
  max.levels = NULL,
  unique = FALSE,
  names = NULL,
  null.ok = FALSE,
  .var.name = vname(x),
  add = NULL
)
testFactor(
  x,
  levels = NULL,
  ordered = NA,
  empty.levels.ok = TRUE,
  any.missing = TRUE,
  all.missing = TRUE,
  len = NULL,
  min.len = NULL,
  max.len = NULL,
  n.levels = NULL,
  min.levels = NULL,
  max.levels = NULL,
  unique = FALSE,
  names = NULL,
  null.ok = FALSE
)
test_factor(
  x,
  levels = NULL,
  ordered = NA,
  empty.levels.ok = TRUE,
  any.missing = TRUE,
  all.missing = TRUE,
  len = NULL,
  min.len = NULL,
  max.len = NULL,
  n.levels = NULL,
  min.levels = NULL,
  max.levels = NULL,
  unique = FALSE,
  names = NULL,
  null.ok = FALSE
)
expect_factor(
  x,
  levels = NULL,
  ordered = NA,
  empty.levels.ok = TRUE,
  any.missing = TRUE,
  all.missing = TRUE,
  len = NULL,
  min.len = NULL,
  max.len = NULL,
  n.levels = NULL,
  min.levels = NULL,
  max.levels = NULL,
  unique = FALSE,
  names = NULL,
  null.ok = FALSE,
  info = NULL,
  label = vname(x)
)
[any] Object to check.
[character]
Vector of allowed factor levels.
[logical(1)]
Check for an ordered factor? If FALSE or TRUE, checks explicitly
for an unordered or ordered factor, respectively.
Default is NA which does not perform any additional check.
[logical(1)]
Are empty levels allowed?
Default is TRUE.
[logical(1)]
Are vectors with missing values allowed? Default is TRUE.
[logical(1)]
Are vectors with only missing values allowed? Default is TRUE.
[integer(1)]
Exact expected length of x.
[integer(1)]
Minimal length of x.
[integer(1)]
Maximal length of x.
[integer(1)]
Exact number of factor levels.
Default is NULL (no check).
[integer(1)]
Minimum number of factor levels.
Default is NULL (no check).
[integer(1)]
Maximum number of factor levels.
Default is NULL (no check).
[logical(1)]
Must all values be unique? Default is FALSE.
[character(1)]
Check for names. See checkNamed for possible values.
Default is “any” which performs no check at all.
Note that you can use checkSubset to check for a specific set of names.
[logical(1)]
If set to TRUE, x may also be NULL.
In this case only a type check of x is performed, all additional checks are disabled.
[character(1)]
Name of the checked object to print in assertions. Defaults to
the heuristic implemented in vname.
[AssertCollection]
Collection to store assertion messages. See AssertCollection.
[character(1)]
Extra information to be included in the message for the testthat reporter.
See expect_that.
[character(1)]
Name of the checked object to print in messages. Defaults to
the heuristic implemented in vname.
Depending on the function prefix:
 If the check is successful, the functions 
 assertFactor/assert_factor return 
 x invisibly, whereas
 checkFactor/check_factor and 
 testFactor/test_factor return 
 TRUE.
 If the check is not successful, 
 assertFactor/assert_factor
 throws an error message, 
 testFactor/test_factor
 returns FALSE,
 and checkFactor returns a string with the error message.
 The function expect_factor always returns an
 expectation.
Other basetypes: 
checkArray(),
checkAtomicVector(),
checkAtomic(),
checkCharacter(),
checkComplex(),
checkDataFrame(),
checkDate(),
checkDouble(),
checkEnvironment(),
checkFormula(),
checkFunction(),
checkIntegerish(),
checkInteger(),
checkList(),
checkLogical(),
checkMatrix(),
checkNull(),
checkNumeric(),
checkPOSIXct(),
checkRaw(),
checkVector()
# NOT RUN {
x = factor("a", levels = c("a", "b"))
testFactor(x)
testFactor(x, empty.levels.ok = FALSE)
# }
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