Bootstrap Density Tibble — bootstrap_density_augment • TidyDensity
Description: Add density information to the output of tidy_bootstrap(), and bootstrap_unnest_tbl().

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# Bootstrap Density Tibble

Source: `R/augment-bootstrap-density.R`
`bootstrap_density_augment.Rd`

Add density information to the output of `tidy_bootstrap()`, and `bootstrap_unnest_tbl()`.

## Usage

    bootstrap_density_augment(.data)

## Arguments

.data

  The data that is passed from the `tidy_bootstrap()` or `bootstrap_unnest_tbl()` functions.

## Value

A tibble

## Details

This function takes as input the output of the `tidy_bootstrap()` or `bootstrap_unnest_tbl()` and returns an augmented tibble that has the following columns added to it: `x`, `y`, `dx`, and `dy`.

It looks for an attribute that comes from using `tidy_bootstrap()` or `bootstrap_unnest_tbl()` so it will not work unless the data comes from one of those functions.

## See also

Other Bootstrap: `bootstrap_p_augment()`, `bootstrap_p_vec()`, `bootstrap_q_augment()`, `bootstrap_q_vec()`, `bootstrap_stat_plot()`, `bootstrap_unnest_tbl()`, `tidy_bootstrap()`

Other Augment Function: `bootstrap_p_augment()`, `bootstrap_q_augment()`

## Author

Steven P. Sanderson II, MPH

## Examples

    x <- mtcars$mpg

    tidy_bootstrap(x) %>%
      bootstrap_density_augment()
    #> # A tibble: 50,000 × 5
    #>    sim_number     x     y    dx       dy
    #>    <fct>      <int> <dbl> <dbl>    <dbl>
    #>  1 1              1  22.8  5.26 0.000144
    #>  2 1              2  15.5  6.78 0.000803
    #>  3 1              3  17.8  8.31 0.00334
    #>  4 1              4  15    9.84 0.0104
    #>  5 1              5  19.2 11.4  0.0245
    #>  6 1              6  19.2 12.9  0.0442
    #>  7 1              7  15   14.4  0.0624
    #>  8 1              8  27.3 16.0  0.0720
    #>  9 1              9  21.4 17.5  0.0714
    #> 10 1             10  17.8 19.0  0.0641
    #> # ℹ 49,990 more rows

    tidy_bootstrap(x) %>%
      bootstrap_unnest_tbl() %>%
      bootstrap_density_augment()
    #> # A tibble: 50,000 × 5
    #>    sim_number     x     y    dx       dy
    #>    <fct>      <int> <dbl> <dbl>    <dbl>
    #>  1 1              1  17.3  5.85 0.000155
    #>  2 1              2  27.3  7.37 0.000742
    #>  3 1              3  22.8  8.89 0.00270
    #>  4 1              4  14.7 10.4  0.00754
    #>  5 1              5  15.2 11.9  0.0165
    #>  6 1              6  18.7 13.5  0.0289
    #>  7 1              7  21   15.0  0.0423
    #>  8 1              8  19.7 16.5  0.0544
    #>  9 1              9  21.5 18.0  0.0639
    #> 10 1             10  33.9 19.5  0.0686
    #> # ℹ 49,990 more rows