View source: R/random-tidy-exponential-inverse.R
| tidy_inverse_exponential | R Documentation | 
This function will generate n random points from an inverse exponential
distribution with a user provided, .rate or .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.
tidy_inverse_exponential(
  .n = 50,
  .rate = 1,
  .scale = 1/.rate,
  .num_sims = 1,
  .return_tibble = TRUE
)
| .n | The number of randomly generated points you want. | 
| .rate | An alternative way to specify the  | 
| .scale | Must be strictly positive. | 
| .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. | 
This function uses the underlying actuar::rinvexp(), and its underlying
p, d, and q functions. For more information please see actuar::rinvexp()
A tibble of randomly generated data.
Steven P. Sanderson II, MPH
https://openacttexts.github.io/Loss-Data-Analytics/ChapSummaryDistributions.html
Other Continuous Distribution: 
tidy_beta(),
tidy_burr(),
tidy_cauchy(),
tidy_chisquare(),
tidy_exponential(),
tidy_f(),
tidy_gamma(),
tidy_generalized_beta(),
tidy_generalized_pareto(),
tidy_geometric(),
tidy_inverse_burr(),
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_weibull(),
tidy_zero_truncated_geometric()
Other Exponential: 
tidy_exponential(),
util_exponential_param_estimate(),
util_exponential_stats_tbl()
Other Inverse Distribution: 
tidy_inverse_burr(),
tidy_inverse_gamma(),
tidy_inverse_normal(),
tidy_inverse_pareto(),
tidy_inverse_weibull()
tidy_inverse_exponential()
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