vec_cast() provides directional conversions from one type of
vector to another. Along with vec_ptype2(), this generic forms
the foundation of type coercions in vctrs.
Usage
vec_cast(x, to, ..., x_arg = caller_arg(x), to_arg = "", call = caller_env())
vec_cast_common(..., .to = NULL, .arg = "", .call = caller_env())
# S3 method for logical
vec_cast(x, to, ...)
# S3 method for integer
vec_cast(x, to, ...)
# S3 method for double
vec_cast(x, to, ...)
# S3 method for complex
vec_cast(x, to, ...)
# S3 method for raw
vec_cast(x, to, ...)
# S3 method for character
vec_cast(x, to, ...)
# S3 method for list
vec_cast(x, to, ...)Arguments
- x
Vectors to cast.
- to, .to
Type to cast to. If
NULL,xwill be returned as is.- ...
For
vec_cast_common(), vectors to cast. Forvec_cast(),vec_cast_default(), andvec_restore(), these dots are only for future extensions and should be empty.- x_arg
Argument name for
x, used in error messages to inform the user about the locations of incompatible types (seestop_incompatible_type()).- to_arg
Argument name
toused in error messages to inform the user about the locations of incompatible types (seestop_incompatible_type()).- call, .call
The execution environment of a currently running function, e.g.
caller_env(). The function will be mentioned in error messages as the source of the error. See thecallargument ofabort()for more information.- .arg
An argument name as a string. This argument will be mentioned in error messages as the input that is at the origin of a problem.
Value
A vector the same length as x with the same type as to,
or an error if the cast is not possible. An error is generated if
information is lost when casting between compatible types (i.e. when
there is no 1-to-1 mapping for a specific value).
Implementing coercion methods
For an overview of how these generics work and their roles in vctrs, see
?theory-faq-coercion.For an example of implementing coercion methods for simple vectors, see
?howto-faq-coercion.For an example of implementing coercion methods for data frame subclasses, see
?howto-faq-coercion-data-frame.For a tutorial about implementing vctrs classes from scratch, see
vignette("s3-vector").
Dependencies of vec_cast_common()
base dependencies
Some functions enable a base-class fallback for
vec_cast_common(). In that case the inputs are deemed compatible
when they have the same base type and inherit from
the same base class.
See also
Call stop_incompatible_cast() when you determine from the
attributes that an input can't be cast to the target type.
Examples
# x is a double, but no information is lost
vec_cast(1, integer())
#> [1] 1
# When information is lost the cast fails
try(vec_cast(c(1, 1.5), integer()))
#> Error in eval(expr, envir, enclos) :
#> Can't convert from `c(1, 1.5)` <double> to <integer> due to loss of precision.
#> • Locations: 2
try(vec_cast(c(1, 2), logical()))
#> Error in eval(expr, envir, enclos) :
#> Can't convert from `c(1, 2)` <double> to <logical> due to loss of precision.
#> • Locations: 2
# You can suppress this error and get the partial results
allow_lossy_cast(vec_cast(c(1, 1.5), integer()))
#> [1] 1 1
allow_lossy_cast(vec_cast(c(1, 2), logical()))
#> [1] TRUE TRUE
# By default this suppress all lossy cast errors without
# distinction, but you can be specific about what cast is allowed
# by supplying prototypes
allow_lossy_cast(vec_cast(c(1, 1.5), integer()), to_ptype = integer())
#> [1] 1 1
try(allow_lossy_cast(vec_cast(c(1, 2), logical()), to_ptype = integer()))
#> Error in eval(expr, envir, enclos) :
#> Can't convert from `c(1, 2)` <double> to <logical> due to loss of precision.
#> • Locations: 2
# No sensible coercion is possible so an error is generated
try(vec_cast(1.5, factor("a")))
#> Error in eval(expr, envir, enclos) :
#> Can't convert `1.5` <double> to <factor<4d52a>>.
# Cast to common type
vec_cast_common(factor("a"), factor(c("a", "b")))
#> [[1]]
#> [1] a
#> Levels: a b
#>
#> [[2]]
#> [1] a b
#> Levels: a b
#>
