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 17.3 6.48 0.000412
#> 2 1 2 15.2 7.33 0.00231
#> 3 1 3 16.4 8.17 0.00856
#> 4 1 4 15 9.01 0.0209
#> 5 1 5 18.7 9.86 0.0340
#> 6 1 6 18.1 10.7 0.0376
#> 7 1 7 10.4 11.5 0.0316
#> 8 1 8 10.4 12.4 0.0286
#> 9 1 9 15 13.2 0.0391
#> 10 1 10 21.4 14.1 0.0607
#> # 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 14.7 6.80 0.000150
#> 2 1 2 21.5 8.08 0.00206
#> 3 1 3 19.2 9.36 0.00914
#> 4 1 4 26 10.6 0.0131
#> 5 1 5 22.8 11.9 0.00739
#> 6 1 6 15 13.2 0.0114
#> 7 1 7 19.2 14.5 0.0272
#> 8 1 8 21 15.8 0.0365
#> 9 1 9 21 17.0 0.0609
#> 10 1 10 17.3 18.3 0.0977
#> # ℹ 49,990 more rows