dat_mtcars_e | R Documentation |
Using datasets::mtcars
, then applying labeled factors and labeling variables with labelled::var_label
based on ?datasets::mtcars
data(dat_mtcars_e)
tibble
?datasets::mtcars
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()
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