| tidy_inverse_weibull {TidyDensity} | R Documentation |
Tidy Randomly Generated Inverse Weibull Distribution Tibble
Description
This function will generate n random points from a weibull
distribution with a user provided, .shape, .scale, .rate, 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_numberThe current simulation number. -
xThe current value ofnfor the current simulation. -
yThe randomly generated data point. -
dxThexvalue from thestats::density()function. -
dyTheyvalue from thestats::density()function. -
pThe values from the resulting p_ function of the distribution family. -
qThe values from the resulting q_ function of the distribution family.
Usage
tidy_inverse_weibull(
.n = 50,
.shape = 1,
.rate = 1,
.scale = 1/.rate,
.num_sims = 1,
.return_tibble = TRUE
)
Arguments
.n |
The number of randomly generated points you want. |
.shape |
Must be strictly positive. |
.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. |
Details
This function uses the underlying actuar::rinvweibull(), and its underlying
p, d, and q functions. For more information please see actuar::rinvweibull()
Value
A tibble of randomly generated data.
Author(s)
Steven P. Sanderson II, MPH
See Also
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_exponential(),
tidy_inverse_gamma(),
tidy_inverse_normal(),
tidy_inverse_pareto(),
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 Weibull:
tidy_weibull(),
util_weibull_param_estimate(),
util_weibull_stats_tbl()
Other Inverse Distribution:
tidy_inverse_burr(),
tidy_inverse_exponential(),
tidy_inverse_gamma(),
tidy_inverse_normal(),
tidy_inverse_pareto()
Examples
tidy_inverse_weibull()