vec_type {vctrs} | R Documentation |
vec_type()
finds the prototype of a single vector.
vec_type_common()
finds the common type of multiple vectors.
vec_ptype()
nicely prints the common type of any number of
inputs, and is designed for interative exploration.
vec_type(x) vec_type_common(..., .ptype = NULL) vec_ptype(...)
..., x |
Vectors inputs |
.ptype |
If Alternatively, you can supply |
vec_type_common()
first finds the prototype of each input, then
finds the common type using vec_type2()
and Reduce()
.
vec_type()
and vec_type_common()
return a prototype
(a size-0 vector)
A prototype is size 0 vector containing attributes, but no
data. Generally, this is just vec_slice(x, 0L)
, but some inputs
require special handling.
For example, the prototype of logical vectors that only contain missing
values is the special unspecified type, which can be coerced to any
other 1d type. This allows bare NA
s to represent missing values for
any 1d vector type.
# Unknown types ------------------------------------------ vec_ptype() vec_ptype(NA) vec_ptype(NULL) # Vectors ------------------------------------------------ vec_ptype(1:10) vec_ptype(letters) vec_ptype(TRUE) vec_ptype(Sys.Date()) vec_ptype(Sys.time()) vec_ptype(factor("a")) vec_ptype(ordered("a")) # Matrices ----------------------------------------------- # The prototype of a matrix includes the number of columns vec_ptype(array(1, dim = c(1, 2))) vec_ptype(array("x", dim = c(1, 2))) # Data frames -------------------------------------------- # The prototype of a data frame includes the prototype of # every column vec_ptype(iris) # The prototype of multiple data frames includes the prototype # of every column that in any data frame vec_ptype( data.frame(x = TRUE), data.frame(y = 2), data.frame(z = "a") )