checkLogical(x, any.missing = TRUE, all.missing = TRUE, len = NULL,
min.len = NULL, max.len = NULL, unique = FALSE, names = NULL)assertLogical(x, any.missing = TRUE, all.missing = TRUE, len = NULL,
min.len = NULL, max.len = NULL, unique = FALSE, names = NULL,
.var.name)
testLogical(x, any.missing = TRUE, all.missing = TRUE, len = NULL,
min.len = NULL, max.len = NULL, unique = FALSE, names = NULL)
x. Defaults to a heuristic to determine
the name using deparse and substitute.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.logical(1)]
Must all values be unique? Default is FALSE.character(1)]
Check for names. See checkNamed for possible values.
Default is TRUE.
If the check is not successful, assertLogical throws an error message,
testLogical returns FALSE and checkLogical returns
a string with the error message.NA, NA_integer_, NA_real_, NA_complex_
NA_character_ and NaN.assertArray,
checkArray, testArray;
assertAtomicVector,
checkAtomicVector,
testAtomicVector;
assertAtomic, checkAtomic,
testAtomic; assertCharacter,
checkCharacter,
testCharacter; assertComplex,
checkComplex, testComplex;
assertDataFrame,
checkDataFrame,
testDataFrame;
assertEnvironment,
checkEnvironment,
testEnvironment;
assertFactor, checkFactor,
testFactor; assertFunction,
checkFunction, testFunction;
assertIntegerish,
checkIntegerish,
testIntegerish;
assertInteger, checkInteger,
testInteger; assertList,
checkList, testList;
assertMatrix, checkMatrix,
testMatrix; assertNumeric,
checkNumeric, testNumeric;
assertVector, checkVector,
testVectortestLogical(TRUE)
testLogical(TRUE, min.len = 1)Run the code above in your browser using DataLab