checkMatrix(x, mode = NULL, any.missing = TRUE, min.rows = NULL,
min.cols = NULL, nrows = NULL, ncols = NULL, row.names = NULL,
col.names = NULL)assertMatrix(x, mode = NULL, any.missing = TRUE, min.rows = NULL,
min.cols = NULL, nrows = NULL, ncols = NULL, row.names = NULL,
col.names = NULL, .var.name)
testMatrix(x, mode = NULL, any.missing = TRUE, min.rows = NULL,
min.cols = NULL, nrows = NULL, ncols = NULL, row.names = NULL,
col.names = NULL)
x. Defaults to a heuristic to determine
the name using deparse and substitute.character(1)]
Storage mode of the matrix. Matricies can hold NULlogical(1)]
Are missing values allowed? Default is TRUE.integer(1)]
Minimum number of rows.integer(1)]
Minimum number of columns.integer(1)]
Exact number of rows.integer(1)]
Exact number of columns.character(1)]
Check for row names. Default is checkNamed for possible values.character(1)]
Check for column names. Default is checkNamed for possible values.TRUE.
If the check is not successful, assertMatrix throws an error message,
testMatrix returns FALSE and checkMatrix returns
a string with the error message.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;
assertLogical, checkLogical,
testLogical; assertNumeric,
checkNumeric, testNumeric;
assertVector, checkVector,
testVectorx = matrix(1:9, 3)
colnames(x) = letters[1:3]
testMatrix(x, nrows = 3, min.cols = 1, col.names = "named")Run the code above in your browser using DataLab