guess_tspec: Guess the 'tibblify()' Specification

In tibblify: Rectangle Nested Lists

Guess the tibblify() Specification

Description

Use guess_tspec() if you don't know the input type. Use guess_tspec_df() if the input is a data frame or an object list. Use guess_tspec_objecte() is the input is an object.

Usage

guess_tspec(
  x,
  ...,
  empty_list_unspecified = FALSE,
  simplify_list = FALSE,
  inform_unspecified = should_inform_unspecified(),
  call = rlang::current_call()
)

guess_tspec_df(
  x,
  ...,
  empty_list_unspecified = FALSE,
  simplify_list = FALSE,
  inform_unspecified = should_inform_unspecified(),
  call = rlang::current_call(),
  arg = rlang::caller_arg(x)
)

guess_tspec_object(
  x,
  ...,
  empty_list_unspecified = FALSE,
  simplify_list = FALSE,
  call = rlang::current_call()
)

Arguments

x	A nested list.
...	These dots are for future extensions and must be empty.
empty_list_unspecified	Treat empty lists as unspecified?
simplify_list	Should scalar lists be simplified to vectors?
inform_unspecified	Inform about fields whose type could not be determined?
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 the call argument of abort() 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 specification object that can used in tibblify().

Examples

guess_tspec(list(x = 1, y = "a"))
guess_tspec(list(list(x = 1), list(x = 2)))

guess_tspec(gh_users)

tibblify documentation built on May 29, 2024, 6:36 a.m.