Check if an argument is a vector of type logical
Usage
checkLogical(
x,
any.missing = TRUE,
all.missing = TRUE,
len = NULL,
min.len = NULL,
max.len = NULL,
unique = FALSE,
names = NULL,
typed.missing = FALSE,
null.ok = FALSE
)
check_logical(
x,
any.missing = TRUE,
all.missing = TRUE,
len = NULL,
min.len = NULL,
max.len = NULL,
unique = FALSE,
names = NULL,
typed.missing = FALSE,
null.ok = FALSE
)
assertLogical(
x,
any.missing = TRUE,
all.missing = TRUE,
len = NULL,
min.len = NULL,
max.len = NULL,
unique = FALSE,
names = NULL,
typed.missing = FALSE,
null.ok = FALSE,
.var.name = vname(x),
add = NULL
)
assert_logical(
x,
any.missing = TRUE,
all.missing = TRUE,
len = NULL,
min.len = NULL,
max.len = NULL,
unique = FALSE,
names = NULL,
typed.missing = FALSE,
null.ok = FALSE,
.var.name = vname(x),
add = NULL
)
testLogical(
x,
any.missing = TRUE,
all.missing = TRUE,
len = NULL,
min.len = NULL,
max.len = NULL,
unique = FALSE,
names = NULL,
typed.missing = FALSE,
null.ok = FALSE
)
test_logical(
x,
any.missing = TRUE,
all.missing = TRUE,
len = NULL,
min.len = NULL,
max.len = NULL,
unique = FALSE,
names = NULL,
typed.missing = FALSE,
null.ok = FALSE
)
expect_logical(
x,
any.missing = TRUE,
all.missing = TRUE,
len = NULL,
min.len = NULL,
max.len = NULL,
unique = FALSE,
names = NULL,
typed.missing = FALSE,
null.ok = FALSE,
info = NULL,
label = vname(x)
)Arguments
- x
[
any]
Object to check.- any.missing
[
logical(1)]
Are vectors with missing values allowed? Default isTRUE.- all.missing
[
logical(1)]
Are vectors with no non-missing values allowed? Default isTRUE. Note that empty vectors do not have non-missing values.- len
[
integer(1)]
Exact expected length ofx.- min.len
[
integer(1)]
Minimal length ofx.- max.len
[
integer(1)]
Maximal length ofx.- unique
[
logical(1)]
Must all values be unique? Default isFALSE.- names
[
character(1)]
Check for names. SeecheckNamedfor possible values. Default is “any” which performs no check at all. Note that you can usecheckSubsetto check for a specific set of names.- typed.missing
[
logical(1)]
If set toFALSE(default), all types of missing values (NA,NA_integer_,NA_real_,NA_character_orNA_character_) as well as empty vectors are allowed while type-checking atomic input. Set toTRUEto enable strict type checking.- null.ok
[
logical(1)]
If set toTRUE,xmay also beNULL. In this case only a type check ofxis performed, all additional checks are disabled.- .var.name
[
character(1)]
Name of the checked object to print in assertions. Defaults to the heuristic implemented invname.- add
[
AssertCollection]
Collection to store assertion messages. SeeAssertCollection.- info
[
character(1)]
Extra information to be included in the message for the testthat reporter. Seeexpect_that.- label
[
character(1)]
Name of the checked object to print in messages. Defaults to the heuristic implemented invname.
Value
Depending on the function prefix:
If the check is successful, the functions
assertLogical/assert_logical return
x invisibly, whereas
checkLogical/check_logical and
testLogical/test_logical return
TRUE.
If the check is not successful,
assertLogical/assert_logical
throws an error message,
testLogical/test_logical
returns FALSE,
and checkLogical/check_logical
return a string with the error message.
The function expect_logical always returns an
expectation.
Details
This function does not distinguish between
NA, NA_integer_, NA_real_, NA_complex_
NA_character_ and NaN.
See also
Other basetypes:
checkArray(),
checkAtomic(),
checkAtomicVector(),
checkCharacter(),
checkComplex(),
checkDataFrame(),
checkDate(),
checkDouble(),
checkEnvironment(),
checkFactor(),
checkFormula(),
checkFunction(),
checkInteger(),
checkIntegerish(),
checkList(),
checkMatrix(),
checkNull(),
checkNumeric(),
checkPOSIXct(),
checkRaw(),
checkVector()