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This function will generate n random points from a weibull 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_weibull(.n = 50, .shape = 1, .scale = 1, .num_sims = 1)

Arguments

.n

The number of randomly generated points you want.

.shape

Shape parameter defaults to 0.

.scale

Scale parameter defaults to 1.

.num_sims

The number of randomly generated simulations you want.

Value

A tibble of randomly generated data.

Details

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

Author

Steven P. Sanderson II, MPH

Examples

tidy_weibull()
#> # A tibble: 50 × 7
#>    sim_number     x      y      dx       dy      p      q
#>    <fct>      <int>  <dbl>   <dbl>    <dbl>  <dbl>  <dbl>
#>  1 1              1 1.97   -1.28   0.000905 0.860  1.97  
#>  2 1              2 3.29   -1.12   0.00284  0.963  3.29  
#>  3 1              3 0.240  -0.963  0.00784  0.214  0.240 
#>  4 1              4 0.769  -0.805  0.0191   0.537  0.769 
#>  5 1              5 1.27   -0.647  0.0412   0.719  1.27  
#>  6 1              6 1.66   -0.489  0.0788   0.810  1.66  
#>  7 1              7 0.583  -0.331  0.134    0.442  0.583 
#>  8 1              8 0.0588 -0.173  0.204    0.0571 0.0588
#>  9 1              9 0.297  -0.0149 0.278    0.257  0.297 
#> 10 1             10 1.82    0.143  0.344    0.838  1.82  
#> # ℹ 40 more rows