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This function will generate n random points from a gamma distribution with a user provided, .shape, .scale, 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_gamma(.n = 50, .shape = 1, .scale = 0.3, .num_sims = 1)

Arguments

.n

The number of randomly generated points you want.

.shape

This is strictly 0 to infinity.

.scale

The standard deviation of the randomly generated data. This is strictly from 0 to infinity.

.num_sims

The number of randomly generated simulations you want.

Value

A tibble of randomly generated data.

Details

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

Author

Steven P. Sanderson II, MPH

Examples

tidy_gamma()
#> # A tibble: 50 × 7
#>    sim_number     x       y       dx      dy      p       q
#>    <fct>      <int>   <dbl>    <dbl>   <dbl>  <dbl>   <dbl>
#>  1 1              1 0.0274  -0.225   0.00585 0.0873 0.0274 
#>  2 1              2 0.387   -0.196   0.0182  0.724  0.387  
#>  3 1              3 0.00978 -0.168   0.0498  0.0321 0.00978
#>  4 1              4 0.0489  -0.139   0.120   0.150  0.0489 
#>  5 1              5 0.244   -0.111   0.258   0.556  0.244  
#>  6 1              6 0.0685  -0.0824  0.491   0.204  0.0685 
#>  7 1              7 0.121   -0.0539  0.833   0.333  0.121  
#>  8 1              8 0.192   -0.0254  1.27    0.472  0.192  
#>  9 1              9 0.0719   0.00313 1.75    0.213  0.0719 
#> 10 1             10 0.414    0.0316  2.18    0.748  0.414  
#> # ℹ 40 more rows