
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 26.2 -2.21 0.000574 0.963 26.2
#> 2 1 2 1.95 -1.58 0.00559 0.598 1.95
#> 3 1 3 3.40 -0.953 0.0311 0.745 3.40
#> 4 1 4 0.432 -0.325 0.102 0.0986 0.432
#> 5 1 5 1.15 0.303 0.205 0.420 1.15
#> 6 1 6 4.88 0.931 0.268 0.815 4.88
#> 7 1 7 1.19 1.56 0.246 0.433 1.19
#> 8 1 8 0.780 2.19 0.174 0.277 0.780
#> 9 1 9 0.929 2.81 0.105 0.341 0.929
#> 10 1 10 2.47 3.44 0.0667 0.667 2.47
#> # ℹ 40 more rows