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 10.4
#> 2 1 15.2
#> 3 1 10.4
#> 4 1 10.4
#> 5 1 27.3
#> 6 1 19.2
#> 7 1 21.4
#> 8 1 18.1
#> 9 1 16.4
#> 10 1 15
#> # 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 18.7 18.1 5.37 10.4 30.4 0.549 3.11
#> 2 2 18.8 17.3 5.13 10.4 33.9 1.03 4.55
#> 3 3 21.8 19.2 6.54 10.4 33.9 0.517 2.23
#> 4 4 19.9 17.8 6.28 10.4 32.4 0.719 2.51
#> 5 5 23.9 21.5 7.01 10.4 33.9 -0.316 2.06
#> 6 6 21.4 19.7 6.28 10.4 33.9 0.385 2.27
#> 7 7 21.1 21 6.38 10.4 33.9 0.191 2.78
#> 8 8 21.0 21 5.93 13.3 33.9 0.748 2.75
#> 9 9 20.7 21 6.14 10.4 33.9 0.742 3.09
#> 10 10 18.4 18.1 4.53 10.4 32.4 1.08 4.92
#> # ℹ 1,990 more rows
#> # ℹ 5 more variables: range <dbl>, iqr <dbl>, variance <dbl>, ci_low <dbl>,
#> # ci_high <dbl>