Unnest the data output from tidy_bootstrap().
Arguments
- .data
The data that is passed from the
tidy_bootstrap()function.
Details
This function takes as input the output of the tidy_bootstrap()
function and returns a two column tibble. The columns are sim_number and y
It looks for an attribute that comes from using tidy_bootstrap() so it will
not work unless the data comes from that function.
See also
Other Bootstrap:
bootstrap_density_augment(),
bootstrap_p_augment(),
bootstrap_p_vec(),
bootstrap_q_augment(),
bootstrap_q_vec(),
bootstrap_stat_plot(),
tidy_bootstrap()
Examples
tb <- tidy_bootstrap(.x = mtcars$mpg)
bootstrap_unnest_tbl(tb)
#> # A tibble: 50,000 × 2
#> sim_number y
#> <fct> <dbl>
#> 1 1 21.4
#> 2 1 21
#> 3 1 26
#> 4 1 19.7
#> 5 1 10.4
#> 6 1 15.5
#> 7 1 32.4
#> 8 1 22.8
#> 9 1 26
#> 10 1 17.3
#> # ℹ 49,990 more rows
bootstrap_unnest_tbl(tb) |>
tidy_distribution_summary_tbl(sim_number)
#> # A tibble: 2,000 × 13
#> sim_number mean_val median_val std_val min_val max_val skewness kurtosis
#> <fct> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 18.3 18.7 5.85 10.4 32.4 0.410 2.75
#> 2 2 19.2 18.1 4.73 10.4 30.4 0.909 3.75
#> 3 3 21.7 19.2 6.68 10.4 33.9 0.689 2.40
#> 4 4 20.3 19.2 5.72 10.4 32.4 0.567 2.46
#> 5 5 20.8 21.4 6.93 10.4 33.9 0.431 2.22
#> 6 6 23.1 21.4 6.97 10.4 33.9 0.00625 1.68
#> 7 7 23.1 21.4 5.94 10.4 33.9 0.119 2.74
#> 8 8 19.5 21 5.84 10.4 33.9 0.349 2.83
#> 9 9 20.1 18.1 6.71 10.4 33.9 0.887 2.75
#> 10 10 19.6 19.2 5.04 10.4 33.9 0.732 3.84
#> # ℹ 1,990 more rows
#> # ℹ 5 more variables: range <dbl>, iqr <dbl>, variance <dbl>, ci_low <dbl>,
#> # ci_high <dbl>