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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 1.41  -0.954  0.000809 0.757 1.41 
#>  2 1              2 1.34  -0.809  0.00331  0.738 1.34 
#>  3 1              3 2.64  -0.663  0.0114   0.929 2.64 
#>  4 1              4 0.257 -0.517  0.0326   0.227 0.257
#>  5 1              5 0.483 -0.372  0.0785   0.383 0.483
#>  6 1              6 0.796 -0.226  0.159    0.549 0.796
#>  7 1              7 0.359 -0.0808 0.275    0.302 0.359
#>  8 1              8 2.51   0.0647 0.404    0.919 2.51 
#>  9 1              9 1.79   0.210  0.516    0.834 1.79 
#> 10 1             10 0.833  0.356  0.581    0.565 0.833
#> # … with 40 more rows