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 17.3
#> 2 1 19.2
#> 3 1 26
#> 4 1 22.8
#> 5 1 18.7
#> 6 1 14.7
#> 7 1 27.3
#> 8 1 15.8
#> 9 1 21.4
#> 10 1 32.4
#> # 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 21.2 21.4 5.95 10.4 32.4 0.296 2.28
#> 2 2 18.3 17.8 5.05 10.4 30.4 0.398 2.90
#> 3 3 19.7 21 4.31 10.4 30.4 0.194 3.42
#> 4 4 20.8 21 6.67 10.4 32.4 0.301 2.20
#> 5 5 18.3 17.3 6.02 10.4 33.9 0.954 3.47
#> 6 6 18.0 16.4 6.19 10.4 32.4 0.367 2.27
#> 7 7 23.1 21.5 6.51 10.4 33.9 -0.0129 1.89
#> 8 8 19.9 19.7 6.80 10.4 32.4 0.193 1.96
#> 9 9 19.7 19.7 3.68 14.3 30.4 0.758 4.19
#> 10 10 22.3 21 6.86 10.4 33.9 0.520 2.16
#> # ℹ 1,990 more rows
#> # ℹ 5 more variables: range <dbl>, iqr <dbl>, variance <dbl>, ci_low <dbl>,
#> # ci_high <dbl>