
Tidy Randomly Generated Inverse Gamma Distribution Tibble
Source:R/random-tidy-gamma-inverse.R
tidy_inverse_gamma.Rd
This function will generate n
random points from an inverse gamma
distribution with a user provided, .shape
, .rate
, .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 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_gamma(
.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
- .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::rinvgamma()
, and its underlying
p
, d
, and q
functions. For more information please see actuar::rinvgamma()
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_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 Gamma:
tidy_gamma()
,
util_gamma_param_estimate()
,
util_gamma_stats_tbl()
Other Inverse Distribution:
tidy_inverse_burr()
,
tidy_inverse_exponential()
,
tidy_inverse_normal()
,
tidy_inverse_pareto()
,
tidy_inverse_weibull()
Examples
tidy_inverse_gamma()
#> # A tibble: 50 × 7
#> sim_number x y dx dy p q
#> <fct> <int> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 1 2.55 -1.68 8.94e- 4 0.676 2.55
#> 2 1 2 2.90 0.568 3.36e- 1 0.709 2.90
#> 3 1 3 0.322 2.81 1.39e- 1 0.0447 0.322
#> 4 1 4 2.54 5.06 3.37e- 2 0.675 2.54
#> 5 1 5 1.33 7.30 1.37e- 2 0.470 1.33
#> 6 1 6 2.18 9.55 5.38e- 3 0.632 2.18
#> 7 1 7 0.907 11.8 9.91e- 8 0.332 0.907
#> 8 1 8 2.77 14.0 1.27e-17 0.697 2.77
#> 9 1 9 0.262 16.3 0 0.0218 0.262
#> 10 1 10 0.526 18.5 0 0.150 0.526
#> # ℹ 40 more rows