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))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.expect_that.character(1)]
Name of the checked object to print in messages. Defaults to
the heuristic implemented in vname.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.
checkArray,
checkAtomic, checkCharacter,
checkComplex, checkDataFrame,
checkDataTable,
checkEnvironment,
checkFunction,
checkIntegerish,
checkInteger, checkList,
checkLogical, checkMatrix,
checkNumeric, checkVector
x = factor("a", levels = c("a", "b"))
testFactor(x)
testFactor(x, empty.levels.ok = FALSE)
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