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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 0.263  -0.936   0.00145 0.232  0.263 
#>  2 1              2 0.503  -0.803   0.00514 0.395  0.503 
#>  3 1              3 1.08   -0.670   0.0155  0.661  1.08  
#>  4 1              4 0.414  -0.536   0.0398  0.339  0.414 
#>  5 1              5 0.344  -0.403   0.0877  0.291  0.344 
#>  6 1              6 0.0839 -0.270   0.166   0.0805 0.0839
#>  7 1              7 0.372  -0.137   0.275   0.311  0.372 
#>  8 1              8 0.103  -0.00355 0.400   0.0980 0.103 
#>  9 1              9 0.518   0.130   0.517   0.404  0.518 
#> 10 1             10 0.0431  0.263   0.599   0.0422 0.0431
#> # ℹ 40 more rows