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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 5.53   -0.786  0.00173 0.996  5.53  
#>  2 1              2 0.202  -0.641  0.00865 0.183  0.202 
#>  3 1              3 0.327  -0.495  0.0331  0.279  0.327 
#>  4 1              4 0.993  -0.350  0.0979  0.629  0.993 
#>  5 1              5 0.114  -0.205  0.226   0.108  0.114 
#>  6 1              6 0.0203 -0.0595 0.412   0.0201 0.0203
#>  7 1              7 0.437   0.0857 0.605   0.354  0.437 
#>  8 1              8 0.207   0.231  0.731   0.187  0.207 
#>  9 1              9 0.460   0.376  0.744   0.369  0.460 
#> 10 1             10 1.80    0.522  0.662   0.835  1.80  
#> # ℹ 40 more rows