dat_mtcars_e: datasets::mtcars, factored and labeled

In erikerhardt/erikmisc: Erik Erhardt's miscellaneous functions for solving complex data analysis workflows

datasets::mtcars, factored and labeled

Description

Using datasets::mtcars, then applying labeled factors and labeling variables with labelled::var_label based on ?datasets::mtcars

Usage

data(dat_mtcars_e)

Format

tibble

Source

?datasets::mtcars

Examples

data(dat_mtcars_e)
str(dat_mtcars_e)

# Generate missing values
dat_mtcars_miss_e <- dat_mtcars_e
prop_missing <- 0.10
n_missing <-
  sample.int(
    n    = prod(dim(dat_mtcars_miss_e))
  , size = round( prop_missing * prod(dim(dat_mtcars_miss_e)))
  )
ind_missing <- expand.grid(1:dim(dat_mtcars_miss_e)[1], 1:dim(dat_mtcars_miss_e)[2])[n_missing, ]
for (i_row in seq_along(n_missing)) {
  dat_mtcars_miss_e[ind_missing[i_row, 1], ind_missing[i_row, 2] ] <- NA
}
dat_mtcars_miss_e |> print()

erikerhardt/erikmisc documentation built on April 17, 2025, 10:48 a.m.