asInteger
is intended to be used for vectors while asInt
is
a specialization for scalar integers and asCount
for scalar
non-negative integers.
Convertible are (a) atomic vectors with all elements NA
and (b) double vectors with all elements being within tol
range of an integer.
Note that these functions may be deprecated in the future.
Instead, it is advised to use assertCount
,
assertInt
or assertIntegerish
with
argument coerce
set to TRUE
instead.
Usage
asInteger(
x,
tol = sqrt(.Machine$double.eps),
lower = -Inf,
upper = Inf,
any.missing = TRUE,
all.missing = TRUE,
len = NULL,
min.len = NULL,
max.len = NULL,
unique = FALSE,
sorted = FALSE,
names = NULL,
.var.name = vname(x)
)
asCount(
x,
na.ok = FALSE,
positive = FALSE,
tol = sqrt(.Machine$double.eps),
.var.name = vname(x)
)
asInt(
x,
na.ok = FALSE,
lower = -Inf,
upper = Inf,
tol = sqrt(.Machine$double.eps),
.var.name = vname(x)
)
Arguments
- x
[any]
Object to convert.- tol
[
double(1)
]
Numerical tolerance used to check whether a double or complex can be converted. Default issqrt(.Machine$double.eps)
.- lower
[
numeric(1)
]
Lower value all elements ofx
must be greater than or equal to.- upper
[
numeric(1)
]
Upper value all elements ofx
must be lower than or equal to.- 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
.- sorted
[
logical(1)
]
Elements must be sorted in ascending order. Missing values are ignored.- names
[
character(1)
]
Check for names. SeecheckNamed
for possible values. Default is “any” which performs no check at all. Note that you can usecheckSubset
to check for a specific set of names.- .var.name
[
character(1)
]
Name of the checked object to print in error messages. Defaults to the heuristic implemented invname
.- na.ok
[
logical(1)
]
Are missing values allowed? Default isFALSE
.- positive
[
logical(1)
]
Mustx
be positive (>= 1)? Default isFALSE
.
Details
This function does not distinguish between
NA
, NA_integer_
, NA_real_
, NA_complex_
NA_character_
and NaN
.
Examples
asInteger(c(1, 2, 3))
#> [1] 1 2 3
asCount(1)
#> [1] 1
asInt(1)
#> [1] 1