View source: R/checkFunction.R
| checkFunction | R Documentation |
Check if an argument is a function
checkFunction(x, args = NULL, ordered = FALSE, nargs = NULL, null.ok = FALSE)
check_function(x, args = NULL, ordered = FALSE, nargs = NULL, null.ok = FALSE)
assertFunction(
x,
args = NULL,
ordered = FALSE,
nargs = NULL,
null.ok = FALSE,
.var.name = vname(x),
add = NULL
)
assert_function(
x,
args = NULL,
ordered = FALSE,
nargs = NULL,
null.ok = FALSE,
.var.name = vname(x),
add = NULL
)
testFunction(x, args = NULL, ordered = FALSE, nargs = NULL, null.ok = FALSE)
test_function(x, args = NULL, ordered = FALSE, nargs = NULL, null.ok = FALSE)
expect_function(
x,
args = NULL,
ordered = FALSE,
nargs = NULL,
null.ok = FALSE,
info = NULL,
label = vname(x)
)
x |
[ |
args |
[ |
ordered |
[ |
nargs |
[ |
null.ok |
[ |
.var.name |
[ |
add |
[ |
info |
[ |
label |
[ |
Depending on the function prefix:
If the check is successful, the functions
assertFunction/assert_function return
x invisibly, whereas
checkFunction/check_function and
testFunction/test_function return
TRUE.
If the check is not successful,
assertFunction/assert_function
throws an error message,
testFunction/test_function
returns FALSE,
and checkFunction/check_function
return a string with the error message.
The function expect_function always returns an
expectation.
Other basetypes:
checkArray(),
checkAtomic(),
checkAtomicVector(),
checkCharacter(),
checkComplex(),
checkDataFrame(),
checkDate(),
checkDouble(),
checkEnvironment(),
checkFactor(),
checkFormula(),
checkInteger(),
checkIntegerish(),
checkList(),
checkLogical(),
checkMatrix(),
checkNull(),
checkNumeric(),
checkPOSIXct(),
checkRaw(),
checkVector()
testFunction(mean)
testFunction(mean, args = "x")
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