Check if an argument is a function
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 |
[any] |
args |
[ |
ordered |
[ |
nargs |
[ |
null.ok |
[ |
.var.name |
[ |
add |
[ |
info |
[character(1)] |
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 returns a string with the error message.
The function expect_function always returns an
expectation.
Other basetypes:
checkArray(),
checkAtomicVector(),
checkAtomic(),
checkCharacter(),
checkComplex(),
checkDataFrame(),
checkDate(),
checkDouble(),
checkEnvironment(),
checkFactor(),
checkFormula(),
checkIntegerish(),
checkInteger(),
checkList(),
checkLogical(),
checkMatrix(),
checkNull(),
checkNumeric(),
checkPOSIXct(),
checkRaw(),
checkVector()
testFunction(mean) testFunction(mean, args = "x")
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.