This function will return a tibble that can either be nested/unnested,
and grouped or ungrouped. The .data
argument must be the output of the
hai_distribution_comparison_tbl()
function.
Arguments
- .data
The data from the
hai_distribution_comparison_tbl()
function as this function looks for a class of 'hai_dist_data'- .unnest
Should the resulting tibble be unnested, a boolean value TRUE/FALSE. The default is TRUE
- .group_data
Shold the resulting tibble be grouped, a boolean value TRUE/FALSE. The default is FALSE
Details
This function expects to take the output of the hai_distribution_comparison_tbl()
function. It returns a tibble of the distribution and the randomly generated
data produced from the associated stats r function like rnorm
See also
Other Distribution Functions:
hai_distribution_comparison_tbl()
,
hai_get_density_data_tbl()
Examples
library(dplyr)
df <- hai_scale_zero_one_vec(.x = mtcars$mpg) %>%
hai_distribution_comparison_tbl()
hai_get_dist_data_tbl(df)
#> # A tibble: 96 × 2
#> distribution dist_data
#> <chr> <dbl>
#> 1 gamma 0.0469
#> 2 gamma 0.00187
#> 3 gamma 0.211
#> 4 gamma 0.0252
#> 5 gamma 0.554
#> 6 gamma 0.0646
#> 7 gamma 0.0890
#> 8 gamma 0.260
#> 9 gamma 0.425
#> 10 gamma 0.000101
#> # ℹ 86 more rows