Augment Bootstrap P — bootstrap_p_augment • TidyDensity
Description: Takes a numeric vector and will return the ecdf probability.

Skip to contents

# Augment Bootstrap P

Source: `R/augment-bootstrap-p.R`
`bootstrap_p_augment.Rd`

Takes a numeric vector and will return the ecdf probability.

## Usage

    bootstrap_p_augment(.data, .value, .names = "auto")

## Arguments

.data

  The data being passed that will be augmented by the function.

.value

  This is passed `rlang::enquo()` to capture the vectors you want to augment.

.names

  The default is "auto"

## Value

A augmented tibble

## Details

Takes a numeric vector and will return the ecdf probability of that vector. This function is intended to be used on its own in order to add columns to a tibble.

## See also

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

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

## Author

Steven P. Sanderson II, MPH

## Examples

    x <- mtcars$mpg
    tidy_bootstrap(x) %>%
      bootstrap_unnest_tbl() %>%
      bootstrap_p_augment(y)
    #> # A tibble: 50,000 × 3
    #>    sim_number     y     p
    #>    <fct>      <dbl> <dbl>
    #>  1 1           17.8 0.405
    #>  2 1           33.9 1
    #>  3 1           19.2 0.530
    #>  4 1           30.4 0.937
    #>  5 1           24.4 0.813
    #>  6 1           30.4 0.937
    #>  7 1           19.7 0.561
    #>  8 1           21.4 0.686
    #>  9 1           21.4 0.686
    #> 10 1           15.8 0.313
    #> # ℹ 49,990 more rows