#' Construct a data frame
#'
#' @description
#'
#' Combine column vectors to form a tibble.
#'
#' @details
#' The column vectors must be named and they must have the same length.
#'
#' `tibble(...)`
#'
#' @usage
#'
#' @examples
#' tibble(
#' x = c(4, 0, 1),
#' y = c("apple", "banana", "economics"),
#' z = c(TRUE, TRUE, FALSE)
#' )
#'
#' #> # A tibble: 3 x 3
#' #> x y z
#' <dbl> <chr> <lgl>
#' #> 4 apple TRUE
#' #> 0 banana TRUE
#' #> 1 economics FALSE
#'
#' -----------------------------------
#'
#' # Create a data frame of statistics
#' # from European countries:
#'
#' tibble(
#' country = c("Hungary", "Norway", "Czech Republic", "Montenegro"),
#' lifeExp = c(73.3, 80.2, 76.5, 74.5),
#' pop = c(9956108, 4627926, 10228744, 684736),
#' gdpPercap = c(18009, 49357, 22833, 9254)
#' )
#'
#' #> # A tibble: 4 x 4
#' #> country lifeExp pop gdpPercap
#' <chr> <dbl> <dbl> <dbl>
#' #> 1 Hungary 73.3 9956108 18009
#' #> 2 Norway 80.2 4627926 49357
#' #> 3 Czech Republic 76.5 10228744 22833
#' #> 4 Montenegro 74.5 684736 9254
#'
#' @export
#' @seealso
#'
#' Other R data structures: [c()], [list()]
#'
tibble <- function(){}
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