Compared to to_dbl(), stabilize_dbl() checks more details, but is slower.
stabilise_dbl(), stabilize_double(), and stabilise_double() are
synonyms of stabilize_dbl().
Usage
stabilize_dbl(
x,
...,
allow_null = TRUE,
allow_na = TRUE,
coerce_character = TRUE,
coerce_factor = TRUE,
min_size = NULL,
max_size = NULL,
unique = FALSE,
min_value = NULL,
max_value = NULL,
allowed_values = NULL,
x_arg = caller_arg(x),
call = caller_env(),
x_class = object_type(x)
)
stabilize_double(
x,
...,
allow_null = TRUE,
allow_na = TRUE,
coerce_character = TRUE,
coerce_factor = TRUE,
min_size = NULL,
max_size = NULL,
unique = FALSE,
min_value = NULL,
max_value = NULL,
allowed_values = NULL,
x_arg = caller_arg(x),
call = caller_env(),
x_class = object_type(x)
)
stabilise_dbl(
x,
...,
allow_null = TRUE,
allow_na = TRUE,
coerce_character = TRUE,
coerce_factor = TRUE,
min_size = NULL,
max_size = NULL,
unique = FALSE,
min_value = NULL,
max_value = NULL,
allowed_values = NULL,
x_arg = caller_arg(x),
call = caller_env(),
x_class = object_type(x)
)
stabilise_double(
x,
...,
allow_null = TRUE,
allow_na = TRUE,
coerce_character = TRUE,
coerce_factor = TRUE,
min_size = NULL,
max_size = NULL,
unique = FALSE,
min_value = NULL,
max_value = NULL,
allowed_values = NULL,
x_arg = caller_arg(x),
call = caller_env(),
x_class = object_type(x)
)Arguments
- x
The object to stabilize.
- ...
Arguments passed to methods.
- allow_null
(
logical(1)) Is NULL an acceptable value?- allow_na
(
logical(1)) Are NA values ok?- coerce_character
(
logical(1)) Should character vectors such as "1" and "2.0" be considered numeric-ish?- coerce_factor
(
logical(1)) 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
(
integer(1)) The minimum size of the object. Object size will be tested usingvctrs::vec_size().- max_size
(
integer(1)) The maximum size of the object. Object size will be tested usingvctrs::vec_size().- unique
(
logical(1)) Should all elements inxbe distinct?- min_value
(
numeric(1)) The lowest allowed value forx. IfNULL(default) values are not checked.- max_value
(
numeric(1)) The highest allowed value forx. IfNULL(default) values are not checked.- allowed_values
A vector of permitted values (coerced to the target type).
NULL(default) skips the check.NAvalues inxare permitted independently ofallowed_values, subject toallow_na.- x_arg
(
character(1)) The name of the object being stabilized to use in error messages. 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
(
character(1)) The class name of the object being stabilized to use in error messages. Use this if you remove a special class from the object before checking its coercion, but want the error message to match the original class.
Value
The input as a double vector, or an error condition with classes
<stbl-error>, <stbl-condition>, <rlang_error>, <error>,
<condition>, and a specific class by failure mode:
<stbl-error-coerce-double>whenxcannot be coerced to double.<stbl-error-incompatible_values-double>when some values cannot be safely converted to double.<stbl-error-bad_null>forNULLvalues whenallow_null = FALSE.<stbl-error-bad_na>forNAvalues whenallow_na = FALSE.<stbl-error-size_too_small>when the vector is shorter thanmin_size.<stbl-error-size_too_large>when the vector is longer thanmax_size.<stbl-error-duplicate_elements>whenunique = TRUEand duplicates are present.<stbl-error-outside_range>when values fall outsidemin_valueormax_value.<stbl-error-allowed_values>when values are not inallowed_values.
See also
Other double functions:
are_dbl_ish(),
specify_dbl(),
stabilize_dbl_scalar(),
to(),
to_dbl(),
to_dbl_scalar()
Other stabilization functions:
assert_present(),
stabilize_any_of(),
stabilize_arg(),
stabilize_chr(),
stabilize_chr_scalar(),
stabilize_date(),
stabilize_date_scalar(),
stabilize_dbl_scalar(),
stabilize_df(),
stabilize_dttm(),
stabilize_dttm_scalar(),
stabilize_dur(),
stabilize_dur_scalar(),
stabilize_fct(),
stabilize_fct_scalar(),
stabilize_int(),
stabilize_int_scalar(),
stabilize_lgl(),
stabilize_lgl_scalar(),
stabilize_lst(),
stabilize_time(),
stabilize_time_scalar(),
to_chr(),
to_chr_scalar(),
to_date(),
to_date_scalar(),
to_dbl(),
to_dbl_scalar(),
to_dttm(),
to_dttm_scalar(),
to_dur(),
to_dur_scalar(),
to_fct(),
to_fct_scalar(),
to_int(),
to_int_scalar(),
to_lgl(),
to_lgl_scalar(),
to_time(),
to_time_scalar()
Examples
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
#> • Values: "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n",
#> "o", "p", "q", "r", …, "y", and "z"
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
#> • Values: "a"
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) : `1:10` must be >= 3.5.
#> ℹ Some values are too low.
#> ✖ Locations: 1, 2, and 3
#> ✖ Values: 1, 2, and 3
try(stabilize_dbl(1:10, max_value = 7.5))
#> Error in eval(expr, envir) : `1:10` must be <= 7.5.
#> ℹ Some values are too high.
#> ✖ Locations: 8, 9, and 10
#> ✖ Values: 8, 9, and 10
try(stabilize_dbl(c(1.1, 2.2, 3.3), allowed_values = c(1.1, 2.2)))
#> Error in eval(expr, envir) :
#> `c(1.1, 2.2, 3.3)` must be one of the allowed values.
#> ℹ Allowed values: "1.1" and "2.2".
#> ✖ Unexpected location: 3
#> ✖ Unexpected value: "3.3".