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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 0.693  -0.297   0.00125 0.693  0.693 
#>  2 1              2 0.0303 -0.264   0.00310 0.0303 0.0303
#>  3 1              3 0.250  -0.232   0.00714 0.250  0.250 
#>  4 1              4 0.688  -0.199   0.0152  0.688  0.688 
#>  5 1              5 0.588  -0.166   0.0298  0.588  0.588 
#>  6 1              6 0.283  -0.134   0.0544  0.283  0.283 
#>  7 1              7 0.525  -0.101   0.0922  0.525  0.525 
#>  8 1              8 0.102  -0.0685  0.146   0.102  0.102 
#>  9 1              9 0.231  -0.0359  0.215   0.231  0.231 
#> 10 1             10 0.622  -0.00323 0.299   0.622  0.622 
#> # ℹ 40 more rows