This function will generate n
random points from a 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.
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::rburr()
, and its underlying
p
, d
, and q
functions. For more information please see actuar::rburr()
See also
https://openacttexts.github.io/Loss-Data-Analytics/ChapSummaryDistributions.html
Other Continuous Distribution:
tidy_beta()
,
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_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_inverse_burr()
Examples
tidy_burr()
#> # A tibble: 50 × 7
#> sim_number x y dx dy p q
#> <fct> <int> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 1 0.370 -1.56 1.19e- 3 0.270 0.370
#> 2 1 2 0.628 0.307 3.48e- 1 0.386 0.628
#> 3 1 3 2.16 2.17 1.64e- 1 0.684 2.16
#> 4 1 4 8.79 4.04 4.91e- 2 0.898 8.79
#> 5 1 5 4.19 5.91 5.01e- 3 0.807 4.19
#> 6 1 6 2.24 7.78 2.46e- 3 0.691 2.24
#> 7 1 7 0.456 9.64 5.45e- 3 0.313 0.456
#> 8 1 8 1.67 11.5 6.65e- 3 0.626 1.67
#> 9 1 9 1.73 13.4 1.76e- 7 0.633 1.73
#> 10 1 10 2.07 15.2 2.08e-17 0.674 2.07
#> # ℹ 40 more rows