Skip to contents

Unnest the data output from tidy_bootstrap().

Usage

bootstrap_unnest_tbl(.data)

Arguments

.data

The data that is passed from the tidy_bootstrap() function.

Value

A tibble

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.

Author

Steven P. Sanderson II, MPH

Examples

tb <- tidy_bootstrap(.x = mtcars$mpg)
bootstrap_unnest_tbl(tb)
#> # A tibble: 50,000 × 2
#>    sim_number     y
#>    <fct>      <dbl>
#>  1 1           17.8
#>  2 1           21  
#>  3 1           21.4
#>  4 1           18.1
#>  5 1           15.8
#>  6 1           10.4
#>  7 1           18.7
#>  8 1           14.7
#>  9 1           17.3
#> 10 1           15.2
#> # 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              19.4       17.3    6.18    10.4    33.9    1.18      3.36
#>  2 2              21.1       21      5.32    13.3    30.4    0.378     2.05
#>  3 3              19.5       18.1    6.19    10.4    33.9    0.606     2.99
#>  4 4              19.0       17.8    6.41    10.4    33.9    0.854     3.12
#>  5 5              21.6       21      7.05    10.4    33.9    0.459     2.07
#>  6 6              22.0       21.4    5.11    10.4    32.4   -0.106     2.90
#>  7 7              19.8       21      5.62    10.4    32.4    0.656     2.94
#>  8 8              17.9       16.4    6.25    10.4    33.9    0.985     3.35
#>  9 9              21.4       21.4    6.11    10.4    32.4    0.102     2.48
#> 10 10             20.7       19.7    5.94    13.3    33.9    0.581     2.28
#> # ℹ 1,990 more rows
#> # ℹ 5 more variables: range <dbl>, iqr <dbl>, variance <dbl>, ci_low <dbl>,
#> #   ci_high <dbl>