Skip to contents

Tidy Randomly Generated Weibull Distribution Tibble

Source: R/random-tidy-weibull.R
tidy_weibull.Rd

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,
  .return_tibble = TRUE
)

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.

.return_tibble

A logical value indicating whether to return the result as a tibble. Default is TRUE.

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()

See also

https://www.itl.nist.gov/div898/handbook/eda/section3/eda3669.htm

Other Continuous Distribution: tidy_beta(), tidy_burr(), tidy_cauchy(), tidy_chisquare(), tidy_exponential(), tidy_f(), tidy_gamma(), tidy_generalized_beta(), tidy_generalized_pareto(), tidy_inverse_burr(), tidy_inverse_exponential(), tidy_inverse_gamma(), tidy_inverse_normal(), tidy_inverse_pareto(), tidy_inverse_weibull(), tidy_logistic(), tidy_lognormal(), tidy_normal(), tidy_paralogistic(), tidy_pareto(), tidy_pareto1(), tidy_t(), tidy_triangular(), tidy_uniform(), tidy_zero_truncated_geometric()

Other Weibull: tidy_inverse_weibull(), util_weibull_param_estimate(), util_weibull_stats_tbl()

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   -0.903  0.00137 0.860  1.97  
#>  2 1              2 2.25   -0.783  0.00459 0.895  2.25  
#>  3 1              3 0.0354 -0.663  0.0133  0.0348 0.0354
#>  4 1              4 1.40   -0.542  0.0335  0.752  1.40  
#>  5 1              5 0.248  -0.422  0.0736  0.219  0.248 
#>  6 1              6 0.201  -0.301  0.141   0.182  0.201 
#>  7 1              7 2.86   -0.181  0.238   0.943  2.86  
#>  8 1              8 0.126  -0.0607 0.356   0.118  0.126 
#>  9 1              9 0.901   0.0597 0.475   0.594  0.901 
#> 10 1             10 3.76    0.180  0.574   0.977  3.76  
#> # ℹ 40 more rows