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)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, .var.name)
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)
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, info = NULL, label = NULL)
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 a 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 x. Defaults to a heuristic to determine
the name using deparse and substitute.expect_that..var.name, but passed down to expect_that.TRUE.
If the check is not successful, assertFactor throws an error message,
testFactor returns FALSE, checkFactor returns
a string with the error message. The function expect_factor will
return an expectation.assertArray,
checkArray, expect_array,
testArray;
assertAtomicVector,
checkAtomicVector,
expect_atomic_vector,
testAtomicVector;
assertAtomic, checkAtomic,
expect_atomic, testAtomic;
assertCharacter,
checkCharacter,
expect_character,
testCharacter; assertComplex,
checkComplex, expect_complex,
testComplex; assertDataFrame,
checkDataFrame,
expect_data_frame,
testDataFrame;
assertEnvironment,
checkEnvironment,
expect_environment,
testEnvironment;
assertFunction,
checkFunction,
expect_function,
testFunction;
assertIntegerish,
checkIntegerish,
expect_integerish,
testIntegerish;
assertInteger, checkInteger,
expect_integer, testInteger;
assertList, checkList,
expect_list, testList;
assertLogical, checkLogical,
expect_logical, testLogical;
assertMatrix, checkMatrix,
expect_matrix, testMatrix;
assertNumeric, checkNumeric,
expect_numeric, testNumeric;
assertVector, checkVector,
expect_vector, testVectorx = factor("a", levels = c("a", "b"))
testFactor(x)
testFactor(x, empty.levels.ok = FALSE)Run the code above in your browser using DataLab