Tidy Randomly Generated Inverse Burr Distribution Tibble
Source:R/random-tidy-burr-inverse.R
tidy_inverse_burr.Rd
This function will generate n
random points from an Inverse Burr
distribution with a user provided, .shape1
, .shape2
, .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.
Usage
tidy_inverse_burr(
.n = 50,
.shape1 = 1,
.shape2 = 1,
.rate = 1,
.scale = 1/.rate,
.num_sims = 1
)
Arguments
- .n
The number of randomly generated points you want.
- .shape1
Must be strictly positive.
- .shape2
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::rinvburr()
, and its underlying
p
, d
, and q
functions. For more information please see actuar::rinvburr()
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_exponential()
,
tidy_inverse_gamma()
,
tidy_inverse_normal()
,
tidy_inverse_pareto()
,
tidy_inverse_weibull()
,
tidy_logistic()
,
tidy_lognormal()
,
tidy_normal()
,
tidy_paralogistic()
,
tidy_pareto1()
,
tidy_pareto()
,
tidy_t()
,
tidy_uniform()
,
tidy_weibull()
,
tidy_zero_truncated_geometric()
Other Burr:
tidy_burr()
Other Inverse Distribution:
tidy_inverse_exponential()
,
tidy_inverse_gamma()
,
tidy_inverse_normal()
,
tidy_inverse_pareto()
,
tidy_inverse_weibull()
Examples
tidy_inverse_burr()
#> # A tibble: 50 × 7
#> sim_number x y dx dy p q
#> <fct> <int> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 1 0.599 -1.65 0.00124 0.375 0.599
#> 2 1 2 1.53 -1.42 0.00438 0.605 1.53
#> 3 1 3 3.04 -1.19 0.0130 0.752 3.04
#> 4 1 4 1.97 -0.960 0.0330 0.664 1.97
#> 5 1 5 1.09 -0.729 0.0709 0.521 1.09
#> 6 1 6 0.177 -0.498 0.130 0.150 0.177
#> 7 1 7 0.116 -0.266 0.206 0.104 0.116
#> 8 1 8 1.43 -0.0350 0.281 0.588 1.43
#> 9 1 9 1.39 0.196 0.335 0.582 1.39
#> 10 1 10 4.91 0.428 0.356 0.831 4.91
#> # … with 40 more rows