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 32.4
#> 2 1 24.4
#> 3 1 22.8
#> 4 1 18.1
#> 5 1 14.7
#> 6 1 33.9
#> 7 1 18.1
#> 8 1 22.8
#> 9 1 17.8
#> 10 1 15.8
#> # 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 19.8 18.1 6.20 10.4 33.9 0.745 2.92
#> 2 2 20.6 19.2 5.65 10.4 32.4 0.284 2.82
#> 3 3 21.6 21 5.86 14.3 32.4 0.483 2.03
#> 4 4 23.9 21.4 6.92 14.3 33.9 0.278 1.68
#> 5 5 21.1 19.7 5.54 10.4 32.4 0.676 3.06
#> 6 6 19.0 19.2 5.39 10.4 32.4 0.697 3.36
#> 7 7 20.7 19.2 6.15 10.4 33.9 0.805 2.93
#> 8 8 19.7 19.7 6.16 10.4 30.4 0.140 1.96
#> 9 9 18.6 18.7 5.93 10.4 33.9 1.00 3.91
#> 10 10 20.2 19.2 5.20 13.3 33.9 1.16 3.99
#> # ℹ 1,990 more rows
#> # ℹ 5 more variables: range <dbl>, iqr <dbl>, variance <dbl>, ci_low <dbl>,
#> # ci_high <dbl>