checkDataFrame(x, types = character(0L), any.missing = TRUE,
min.rows = NULL, min.cols = NULL, nrows = NULL, ncols = NULL,
row.names = NULL, col.names = NULL)assertDataFrame(x, types = character(0L), any.missing = TRUE,
min.rows = NULL, min.cols = NULL, nrows = NULL, ncols = NULL,
row.names = NULL, col.names = NULL, .var.name)
testDataFrame(x, types = character(0L), 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
.logical(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.character
]
Character vector of class names. Each list element must inherit
from at least one of the provided types.
The types TRUE
.
If the check is not successful, assertDataFrame
throws an error message,
testDataFrame
returns FALSE
and checkDataFrame
returns
a string with the error message.assertArray
,
checkArray
, testArray
;
assertAtomicVector
,
checkAtomicVector
,
testAtomicVector
;
assertAtomic
, checkAtomic
,
testAtomic
; assertCharacter
,
checkCharacter
,
testCharacter
; assertComplex
,
checkComplex
, testComplex
;
assertEnvironment
,
checkEnvironment
,
testEnvironment
;
assertFactor
, checkFactor
,
testFactor
; assertFunction
,
checkFunction
, testFunction
;
assertIntegerish
,
checkIntegerish
,
testIntegerish
;
assertInteger
, checkInteger
,
testInteger
; assertList
,
checkList
, testList
;
assertLogical
, checkLogical
,
testLogical
; assertMatrix
,
checkMatrix
, testMatrix
;
assertNumeric
, checkNumeric
,
testNumeric
; assertVector
,
checkVector
, testVector
testDataFrame(iris, "data.frame")
testDataFrame(iris, "data.frame", min.rows = 1, col.names = "named")
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