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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 0.170   -0.307  0.00275 0.170   0.170  
#>  2 1              2 0.486   -0.274  0.00702 0.486   0.486  
#>  3 1              3 0.267   -0.242  0.0163  0.267   0.267  
#>  4 1              4 0.465   -0.209  0.0345  0.465   0.465  
#>  5 1              5 0.629   -0.177  0.0665  0.629   0.629  
#>  6 1              6 0.171   -0.144  0.117   0.171   0.171  
#>  7 1              7 0.617   -0.112  0.190   0.617   0.617  
#>  8 1              8 0.00861 -0.0793 0.282   0.00861 0.00861
#>  9 1              9 0.0729  -0.0468 0.387   0.0729  0.0729 
#> 10 1             10 0.715   -0.0143 0.493   0.715   0.715  
#> # ℹ 40 more rows