
There are three main goals to the vctrs package, each described in a vignette:
To propose vec_size() and vec_ptype() as alternatives to
length() and class(); vignette("type-size"). These definitions
are paired with a framework for size-recycling and type-coercion.
ptype should evoke the notion of a prototype, i.e. the original or
typical form of something.
To define size- and type-stability as desirable function properties,
use them to analyse existing base functions, and to propose better
alternatives; vignette("stability"). This work has been particularly
motivated by thinking about the ideal properties of c(), ifelse(),
and rbind().
To provide a new vctr base class that makes it easy to create new S3
vectors; vignette("s3-vector"). vctrs provides methods for many base
generics in terms of a few new vctrs generics, making implementation
considerably simpler and more robust.
vctrs is a developer-focussed package. Understanding and extending vctrs requires some effort from developers, but should be invisible to most users. It’s our hope that having an underlying theory will mean that users can build up an accurate mental model without explicitly learning the theory. vctrs will typically be used by other packages, making it easy for them to provide new classes of S3 vectors that are supported throughout the tidyverse (and beyond). For that reason, vctrs has few dependencies.
Install vctrs from CRAN with:
install.packages("vctrs")
Alternatively, if you need the development version, install it with:
# install.packages("pak")
pak::pak("r-lib/vctrs")
library(vctrs)
# Sizes
vec_size_common(1, 1:10)
#> [1] 10
str(vec_recycle_common(1, 1:10))
#> List of 2
#> $ : num [1:10] 1 1 1 1 1 1 1 1 1 1
#> $ : int [1:10] 1 2 3 4 5 6 7 8 9 10
# Prototypes
vec_ptype_common(FALSE, 1L, 2.5)
#> numeric(0)
str(vec_cast_common(FALSE, 1L, 2.5))
#> List of 3
#> $ : num 0
#> $ : num 1
#> $ : num 2.5
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