#' Modified `mtcars` dataset
#'
#' @description
#' Modified `mtcars` dataset so:
#' + every column is labelled (using `label` attribute)
#' + rownames are a character column named `model`
#' + `gear` and `cyl` columns are considered as numerical factors
#' + `vs` and `am` columns are considered as character vector
#'
#' See \code{\link{mtcars}} for more informations on the original "Motor Trend Car Road Tests" dataset.
#'
#' @format A data frame with 32 observations on 11 variables with labels.
#'
#' @source \preformatted{
#' library(dplyr)
#' mtcars2 = mtcars \%>\%
#' mutate(
#' model=rownames(mtcars),
#' vs=ifelse(vs==0, "vshaped", "straight"),
#' am=ifelse(am==0, "auto", "manual"),
#' across(c("cyl", "gear"), factor),
#' .before=1
#' ) \%>\%
#' expss::apply_labels( #I also could have used [import_labels] or even `labelled::set_variable_labels()`
#' mpg="Miles/(US) gallon",
#' cyl="Number of cylinders",
#' disp="Displacement (cu.in.)",
#' hp="Gross horsepower",
#' drat="Rear axle ratio",
#' wt="Weight (1000 lbs)",
#' qsec="1/4 mile time",
#' vs="Engine",
#' am="Transmission",
#' gear="Number of forward gears",
#' carb="Number of carburetors"
#' )
#' }
#'
#' @examples
#' library(crosstable)
#' ct=crosstable(mtcars2, by=vs)
#' ct
#' as_flextable(ct)
"mtcars2"
#' Modified `iris` dataset
#'
#' @description
#' Modified `iris` dataset so:
#' + every column is labelled (using `label` attribute)
#' + `Species` column is considered as factor
#'
#' See \code{\link{iris}} for more informations on the original "Edgar Anderson's Iris Data" dataset.
#'
#' @format A data frame with 150 observations on 5 variables with labels.
#'
#' @source \preformatted{
#' library(dplyr)
#' iris2 = iris \%>\%
#' expss::apply_labels( #I also could have used [import_labels] or even `labelled::set_variable_labels()`
#' Species = "Specie",
#' Sepal.Length = "Length of Sepal",
#' Sepal.Width = "Width of Sepal",
#' Petal.Length = "Length of Petal",
#' Petal.Width = "Width of Petal"
#' ) \%>\%
#' as_tibble()
#' }
#'
#' @examples
#' library(crosstable)
#' ct=crosstable(iris2, by=Species)
#' ct
#' as_flextable(ct)
"iris2"
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