to_dbl()
checks whether an argument can be coerced to double
without losing information, returning it silently if so. Otherwise an
informative error message is signaled.
stabilize_dbl()
can check more details about the argument, but is slower
than to_dbl()
.
stabilize_dbl_scalar()
and to_dbl_scalar()
are optimized to check for
length-1 double vectors.
Usage
stabilize_dbl(
x,
...,
allow_null = TRUE,
allow_na = TRUE,
coerce_character = TRUE,
coerce_factor = TRUE,
min_size = NULL,
max_size = NULL,
min_value = NULL,
max_value = NULL,
x_arg = caller_arg(x),
call = caller_env(),
x_class = object_type(x)
)
stabilize_dbl_scalar(
x,
...,
allow_null = TRUE,
allow_zero_length = TRUE,
allow_na = TRUE,
coerce_character = TRUE,
coerce_factor = TRUE,
min_value = NULL,
max_value = NULL,
x_arg = caller_arg(x),
call = caller_env(),
x_class = object_type(x)
)
to_dbl(
x,
...,
x_arg = caller_arg(x),
call = caller_env(),
x_class = object_type(x)
)
# S3 method for class '`NULL`'
to_dbl(x, ..., allow_null = TRUE, x_arg = caller_arg(x), call = caller_env())
# S3 method for class 'character'
to_dbl(
x,
...,
coerce_character = TRUE,
x_arg = caller_arg(x),
call = caller_env(),
x_class = object_type(x)
)
# S3 method for class 'factor'
to_dbl(
x,
...,
coerce_factor = TRUE,
x_arg = caller_arg(x),
call = caller_env(),
x_class = object_type(x)
)
to_dbl_scalar(
x,
...,
allow_null = TRUE,
allow_zero_length = TRUE,
x_arg = caller_arg(x),
call = caller_env(),
x_class = object_type(x)
)
Arguments
- x
The argument to stabilize.
- ...
Arguments passed to methods.
- allow_null
(length-1 logical)
Is NULL an acceptable value?- allow_na
(length-1 logical)
Are NA values ok?- coerce_character
(length-1 logical)
Should character vectors such as "1" and "2.0" be considered numeric-ish?- coerce_factor
(length-1 logical)
Should factors with values such as "1" and "2.0" be considered numeric-ish? Note that this package uses the character value from the factor, whileas.integer()
andas.double()
use the integer index of the factor.- min_size
(length-1 integer)
The minimum size of the object. Object size will be tested usingvctrs::vec_size()
.- max_size
(length-1 integer)
The maximum size of the object. Object size will be tested usingvctrs::vec_size()
.- min_value
(length-1 numeric)
The lowest allowed value forx
. IfNULL
(default) values are not checked.- max_value
(length-1 numeric)
The highest allowed value forx
. IfNULL
(default) values are not checked.- x_arg
(length-1 character)
An argument name for x. The automatic value will work in most cases, or pass it through from higher-level functions to make error messages clearer in unexported functions.- call
(environment)
The execution environment to mention as the source of error messages.- x_class
(length-1 character)
The class name ofx
to use in error messages. Use this if you remove a special class fromx
before checking its coercion, but want the error message to match the original class.- allow_zero_length
(length-1 logical)
Are zero-length vectors acceptable?
Examples
to_dbl(1:10)
#> [1] 1 2 3 4 5 6 7 8 9 10
to_dbl("1.1")
#> [1] 1.1
to_dbl(1 + 0i)
#> [1] 1
to_dbl(NULL)
#> NULL
try(to_dbl("a"))
#> Error in eval(expr, envir) :
#> `"a"` <character> must be coercible to <double>
#> ✖ Can't convert some values due to incompatible values.
#> • Locations: 1
try(to_dbl("1.1", coerce_character = FALSE))
#> Error in eval(expr, envir) :
#> Can't coerce `"1.1"` <character> to <double>.
to_dbl_scalar("1.1")
#> [1] 1.1
try(to_dbl_scalar(1:10))
#> Error in eval(expr, envir) :
#> `1:10` must be a single <numeric>.
#> ✖ `1:10` has 10 values.
stabilize_dbl(1:10)
#> [1] 1 2 3 4 5 6 7 8 9 10
stabilize_dbl("1.1")
#> [1] 1.1
stabilize_dbl(1 + 0i)
#> [1] 1
stabilize_dbl(NULL)
#> NULL
try(stabilize_dbl(NULL, allow_null = FALSE))
#> Error in eval(expr, envir) : `NULL` must not be <NULL>.
try(stabilize_dbl(c(1.1, NA), allow_na = FALSE))
#> Error in eval(expr, envir) :
#> `c(1.1, NA)` must not contain NA values.
#> • NA locations: 2
try(stabilize_dbl(letters))
#> Error in eval(expr, envir) :
#> `letters` <character> must be coercible to <double>
#> ✖ Can't convert some values due to incompatible values.
#> • Locations: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, …,
#> 25, and 26
try(stabilize_dbl("1.1", coerce_character = FALSE))
#> Error in eval(expr, envir) :
#> Can't coerce `"1.1"` <character> to <double>.
try(stabilize_dbl(factor(c("1.1", "a"))))
#> Error in eval(expr, envir) :
#> `factor(c("1.1", "a"))` <factor> must be coercible to <double>
#> ✖ Can't convert some values due to incompatible values.
#> • Locations: 2
try(stabilize_dbl(factor("1.1"), coerce_factor = FALSE))
#> Error in eval(expr, envir) :
#> Can't coerce `factor("1.1")` <factor> to <double>.
try(stabilize_dbl(1:10, min_value = 3.5))
#> Error in eval(expr, envir) :
#> ! Values of `1:10` must be >= 3.5.
#> ✖ Values are too low at locations 1, 2, and 3.
try(stabilize_dbl(1:10, max_value = 7.5))
#> Error in eval(expr, envir) :
#> ! Values of `1:10` must be <= 7.5.
#> ✖ Values are too high at locations 8, 9, and 10.
stabilize_dbl_scalar(1.0)
#> [1] 1
stabilize_dbl_scalar("1.1")
#> [1] 1.1
try(stabilize_dbl_scalar(1:10))
#> Error in eval(expr, envir) :
#> `1:10` must be a single <numeric>.
#> ✖ `1:10` has 10 values.
stabilize_dbl_scalar(NULL)
#> NULL
try(stabilize_dbl_scalar(NULL, allow_null = FALSE))
#> Error in eval(expr, envir) : `NULL` must not be <NULL>.