
Tidy Randomly Generated Inverse Weibull Distribution Tibble
Source:R/random-tidy-weibull-inverse.R
tidy_inverse_weibull.Rd
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_number
The current simulation number.x
The current value ofn
for the current simulation.y
The randomly generated data point.dx
Thex
value from thestats::density()
function.dy
They
value from thestats::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.
Arguments
- .n
The number of randomly generated points you want.
- .shape
Must be strictly positive.
- .rate
An alternative way to specify the
.scale
.- .scale
Must be strictly positive.
- .num_sims
The number of randomly generated simulations you want.
Details
This function uses the underlying actuar::rinvweibull()
, and its underlying
p
, d
, and q
functions. For more information please see actuar::rinvweibull()
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_pareto1()
,
tidy_pareto()
,
tidy_t()
,
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()
#> # A tibble: 50 × 7
#> sim_number x y dx dy p q
#> <fct> <int> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 1 1.60 -3.84 1.07e- 3 0.535 1.60
#> 2 1 2 541. 7.36 3.04e- 2 0.998 541.
#> 3 1 3 96.8 18.6 4.70e- 3 0.990 96.8
#> 4 1 4 17.4 29.8 1.33e- 9 0.944 17.4
#> 5 1 5 2.80 41.0 0 0.700 2.80
#> 6 1 6 0.186 52.2 1.21e- 9 0.00467 0.186
#> 7 1 7 1.58 63.4 6.75e- 4 0.530 1.58
#> 8 1 8 2.38 74.6 0 0.657 2.38
#> 9 1 9 0.750 85.8 1.96e-15 0.264 0.750
#> 10 1 10 4.42 97.0 5.54e- 3 0.798 4.42
#> # ℹ 40 more rows