An integerish value is defined as value safely convertible to integer. This includes integers and numeric values which are close to an integer w.r.t. a numeric tolerance.
checkIntegerish(
x,
tol = sqrt(.Machine$double.eps),
lower = -Inf,
upper = Inf,
any.missing = TRUE,
all.missing = TRUE,
len = NULL,
min.len = NULL,
max.len = NULL,
unique = FALSE,
sorted = FALSE,
names = NULL,
null.ok = FALSE
)check_integerish(
x,
tol = sqrt(.Machine$double.eps),
lower = -Inf,
upper = Inf,
any.missing = TRUE,
all.missing = TRUE,
len = NULL,
min.len = NULL,
max.len = NULL,
unique = FALSE,
sorted = FALSE,
names = NULL,
null.ok = FALSE
)
assertIntegerish(
x,
tol = sqrt(.Machine$double.eps),
lower = -Inf,
upper = Inf,
any.missing = TRUE,
all.missing = TRUE,
len = NULL,
min.len = NULL,
max.len = NULL,
unique = FALSE,
sorted = FALSE,
names = NULL,
null.ok = FALSE,
coerce = FALSE,
.var.name = vname(x),
add = NULL
)
assert_integerish(
x,
tol = sqrt(.Machine$double.eps),
lower = -Inf,
upper = Inf,
any.missing = TRUE,
all.missing = TRUE,
len = NULL,
min.len = NULL,
max.len = NULL,
unique = FALSE,
sorted = FALSE,
names = NULL,
null.ok = FALSE,
coerce = FALSE,
.var.name = vname(x),
add = NULL
)
testIntegerish(
x,
tol = sqrt(.Machine$double.eps),
lower = -Inf,
upper = Inf,
any.missing = TRUE,
all.missing = TRUE,
len = NULL,
min.len = NULL,
max.len = NULL,
unique = FALSE,
sorted = FALSE,
names = NULL,
null.ok = FALSE
)
test_integerish(
x,
tol = sqrt(.Machine$double.eps),
lower = -Inf,
upper = Inf,
any.missing = TRUE,
all.missing = TRUE,
len = NULL,
min.len = NULL,
max.len = NULL,
unique = FALSE,
sorted = FALSE,
names = NULL,
null.ok = FALSE
)
expect_integerish(
x,
tol = sqrt(.Machine$double.eps),
lower = -Inf,
upper = Inf,
any.missing = TRUE,
all.missing = TRUE,
len = NULL,
min.len = NULL,
max.len = NULL,
unique = FALSE,
sorted = FALSE,
names = NULL,
null.ok = FALSE,
info = NULL,
label = vname(x)
)
[any] Object to check.
[double(1)]
Numerical tolerance used to check whether a double or complex can be converted.
Default is sqrt(.Machine$double.eps).
[numeric(1)]
Lower value all elements of x must be greater than or equal to.
[numeric(1)]
Upper value all elements of x must be lower than or equal to.
[logical(1)]
Are vectors with missing values allowed? Default is TRUE.
[logical(1)]
Are vectors with only missing values allowed? Default is TRUE.
[integer(1)]
Exact expected length of x.
[integer(1)]
Minimal length of x.
[integer(1)]
Maximal length of x.
[logical(1)]
Must all values be unique? Default is FALSE.
[logical(1)]
Elements must be sorted in ascending order. Missing values are ignored.
[character(1)]
Check for names. See checkNamed for possible values.
Default is “any” which performs no check at all.
Note that you can use checkSubset to check 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.
[logical(1)]
If TRUE, the input x is returned as integer after an successful assertion.
[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.
Depending on the function prefix:
If the check is successful, the functions
assertIntegerish/assert_integerish return
x invisibly, whereas
checkIntegerish/check_integerish and
testIntegerish/test_integerish return
TRUE.
If the check is not successful,
assertIntegerish/assert_integerish
throws an error message,
testIntegerish/test_integerish
returns FALSE,
and checkIntegerish returns a string with the error message.
The function expect_integerish always returns an
expectation.
This function does not distinguish between
NA, NA_integer_, NA_real_, NA_complex_
NA_character_ and NaN.
Other basetypes:
checkArray(),
checkAtomicVector(),
checkAtomic(),
checkCharacter(),
checkComplex(),
checkDataFrame(),
checkDate(),
checkDouble(),
checkEnvironment(),
checkFactor(),
checkFormula(),
checkFunction(),
checkInteger(),
checkList(),
checkLogical(),
checkMatrix(),
checkNull(),
checkNumeric(),
checkPOSIXct(),
checkRaw(),
checkVector()
# NOT RUN {
testIntegerish(1L)
testIntegerish(1.)
testIntegerish(1:2, lower = 1L, upper = 2L, any.missing = FALSE)
# }
Run the code above in your browser using DataLab