Check if an argument is a matrix
checkMatrix(
x,
mode = NULL,
any.missing = TRUE,
all.missing = TRUE,
min.rows = NULL,
max.rows = NULL,
min.cols = NULL,
max.cols = NULL,
nrows = NULL,
ncols = NULL,
row.names = NULL,
col.names = NULL,
null.ok = FALSE
)check_matrix(
x,
mode = NULL,
any.missing = TRUE,
all.missing = TRUE,
min.rows = NULL,
max.rows = NULL,
min.cols = NULL,
max.cols = NULL,
nrows = NULL,
ncols = NULL,
row.names = NULL,
col.names = NULL,
null.ok = FALSE
)
assertMatrix(
x,
mode = NULL,
any.missing = TRUE,
all.missing = TRUE,
min.rows = NULL,
max.rows = NULL,
min.cols = NULL,
max.cols = NULL,
nrows = NULL,
ncols = NULL,
row.names = NULL,
col.names = NULL,
null.ok = FALSE,
.var.name = vname(x),
add = NULL
)
assert_matrix(
x,
mode = NULL,
any.missing = TRUE,
all.missing = TRUE,
min.rows = NULL,
max.rows = NULL,
min.cols = NULL,
max.cols = NULL,
nrows = NULL,
ncols = NULL,
row.names = NULL,
col.names = NULL,
null.ok = FALSE,
.var.name = vname(x),
add = NULL
)
testMatrix(
x,
mode = NULL,
any.missing = TRUE,
all.missing = TRUE,
min.rows = NULL,
max.rows = NULL,
min.cols = NULL,
max.cols = NULL,
nrows = NULL,
ncols = NULL,
row.names = NULL,
col.names = NULL,
null.ok = FALSE
)
test_matrix(
x,
mode = NULL,
any.missing = TRUE,
all.missing = TRUE,
min.rows = NULL,
max.rows = NULL,
min.cols = NULL,
max.cols = NULL,
nrows = NULL,
ncols = NULL,
row.names = NULL,
col.names = NULL,
null.ok = FALSE
)
expect_matrix(
x,
mode = NULL,
any.missing = TRUE,
all.missing = TRUE,
min.rows = NULL,
max.rows = NULL,
min.cols = NULL,
max.cols = NULL,
nrows = NULL,
ncols = NULL,
row.names = NULL,
col.names = NULL,
null.ok = FALSE,
info = NULL,
label = vname(x)
)
Depending on the function prefix: If the check is successful, the functions
assertMatrix
/assert_matrix
return
x
invisibly, whereas
checkMatrix
/check_matrix
and
testMatrix
/test_matrix
return
TRUE
.
If the check is not successful,
assertMatrix
/assert_matrix
throws an error message,
testMatrix
/test_matrix
returns FALSE
,
and checkMatrix
/check_matrix
return a string with the error message.
The function expect_matrix
always returns an
[any]
Object to check.
[character(1)
]
Storage mode of the array. Arrays can hold vectors, i.e. “logical”,
“integer”, “integerish”, “double”, “numeric”, “complex”,
“character” and “list”. You can also specify “atomic”
here to explicitly prohibit lists. Default is NULL
(no check).
If all values of x
are missing, this check is skipped.
[logical(1)
]
Are missing values allowed? Default is TRUE
.
[logical(1)
]
Are matrices with only missing values allowed? Default is TRUE
.
[integer(1)
]
Minimum number of rows.
[integer(1)
]
Maximum number of rows.
[integer(1)
]
Minimum number of columns.
[integer(1)
]
Maximum number of columns.
[integer(1)
]
Exact number of rows.
[integer(1)
]
Exact number of columns.
[character(1)
]
Check for row names. Default is “NULL” (no check).
See checkNamed
for possible values.
Note that you can use checkSubset
to check for a specific set of names.
[character(1)
]
Check for column names. Default is “NULL” (no check).
See checkNamed
for possible values.
Note that you can use checkSubset
to test 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
.
[character(1)
]
Extra information to be included in the message for the testthat reporter.
See expect_that
.
[character(1)
]
Name of the checked object to print in messages. Defaults to
the heuristic implemented in vname
.
Other basetypes:
checkArray()
,
checkAtomic()
,
checkAtomicVector()
,
checkCharacter()
,
checkComplex()
,
checkDataFrame()
,
checkDate()
,
checkDouble()
,
checkEnvironment()
,
checkFactor()
,
checkFormula()
,
checkFunction()
,
checkInteger()
,
checkIntegerish()
,
checkList()
,
checkLogical()
,
checkNull()
,
checkNumeric()
,
checkPOSIXct()
,
checkRaw()
,
checkVector()
Other compound:
checkArray()
,
checkDataFrame()
,
checkDataTable()
,
checkTibble()
x = matrix(1:9, 3)
colnames(x) = letters[1:3]
testMatrix(x, nrows = 3, min.cols = 1, col.names = "named")
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