Add density information to the output of tidy_bootstrap(), and
bootstrap_unnest_tbl().
Arguments
- .data
The data that is passed from the
tidy_bootstrap()orbootstrap_unnest_tbl()functions.
Details
This function takes as input the output of the tidy_bootstrap() or
bootstrap_unnest_tbl() and returns an augmented tibble that has the following
columns added to it: x, y, dx, and dy.
It looks for an attribute that comes from using tidy_bootstrap() or
bootstrap_unnest_tbl() so it will not work unless the data comes from one of
those functions.
See also
Other Bootstrap:
bootstrap_p_augment(),
bootstrap_p_vec(),
bootstrap_q_augment(),
bootstrap_q_vec(),
bootstrap_stat_plot(),
bootstrap_unnest_tbl(),
tidy_bootstrap()
Other Augment Function:
bootstrap_p_augment(),
bootstrap_q_augment()
Examples
x <- mtcars$mpg
tidy_bootstrap(x) |>
bootstrap_density_augment()
#> # A tibble: 50,000 × 5
#> sim_number x y dx dy
#> <fct> <int> <dbl> <dbl> <dbl>
#> 1 1 1 16.4 6.48 0.000408
#> 2 1 2 15 7.33 0.00230
#> 3 1 3 18.7 8.17 0.00853
#> 4 1 4 18.1 9.01 0.0209
#> 5 1 5 10.4 9.86 0.0340
#> 6 1 6 10.4 10.7 0.0376
#> 7 1 7 15 11.5 0.0313
#> 8 1 8 21.4 12.4 0.0275
#> 9 1 9 18.1 13.2 0.0357
#> 10 1 10 22.8 14.1 0.0541
#> # ℹ 49,990 more rows
tidy_bootstrap(x) |>
bootstrap_unnest_tbl() |>
bootstrap_density_augment()
#> # A tibble: 50,000 × 5
#> sim_number x y dx dy
#> <fct> <int> <dbl> <dbl> <dbl>
#> 1 1 1 19.2 6.59 0.000140
#> 2 1 2 26 7.89 0.00177
#> 3 1 3 22.8 9.18 0.00794
#> 4 1 4 15 10.5 0.0126
#> 5 1 5 19.2 11.8 0.00749
#> 6 1 6 21 13.1 0.00546
#> 7 1 7 21 14.4 0.0133
#> 8 1 8 17.3 15.7 0.0271
#> 9 1 9 10.4 17.0 0.0571
#> 10 1 10 18.1 18.3 0.0946
#> # ℹ 49,990 more rows