Skip to contents

This function will generate n random points from a beta distribution with a user provided, .shape1, .shape2, .ncp or non-centrality parameter, and number of random simulations to be produced. The function returns a tibble with the simulation number column the x column which corresponds to the n randomly generated points, the d_, p_ and q_ data points as well.

The data is returned un-grouped.

The columns that are output are:

  • sim_number The current simulation number.

  • x The current value of n for the current simulation.

  • y The randomly generated data point.

  • dx The x value from the stats::density() function.

  • dy The y value from the stats::density() function.

  • p The values from the resulting p_ function of the distribution family.

  • q The values from the resulting q_ function of the distribution family.

Usage

tidy_beta(.n = 50, .shape1 = 1, .shape2 = 1, .ncp = 0, .num_sims = 1)

Arguments

.n

The number of randomly generated points you want.

.shape1

A non-negative parameter of the Beta distribution.

.shape2

A non-negative parameter of the Beta distribution.

.ncp

The non-centrality parameter of the Beta distribution.

.num_sims

The number of randomly generated simulations you want.

Value

A tibble of randomly generated data.

Details

This function uses the underlying stats::rbeta(), and its underlying p, d, and q functions. For more information please see stats::rbeta()

Author

Steven P. Sanderson II, MPH

Examples

tidy_beta()
#> # A tibble: 50 × 7
#>    sim_number     x      y      dx      dy      p      q
#>    <fct>      <int>  <dbl>   <dbl>   <dbl>  <dbl>  <dbl>
#>  1 1              1 0.581  -0.370  0.00262 0.581  0.581 
#>  2 1              2 0.843  -0.335  0.00592 0.843  0.843 
#>  3 1              3 0.0459 -0.299  0.0125  0.0459 0.0459
#>  4 1              4 0.586  -0.264  0.0247  0.586  0.586 
#>  5 1              5 0.927  -0.229  0.0457  0.927  0.927 
#>  6 1              6 0.947  -0.194  0.0792  0.947  0.947 
#>  7 1              7 0.932  -0.159  0.129   0.932  0.932 
#>  8 1              8 0.297  -0.123  0.197   0.297  0.297 
#>  9 1              9 0.606  -0.0882 0.283   0.606  0.606 
#> 10 1             10 0.831  -0.0531 0.385   0.831  0.831 
#> # ℹ 40 more rows