
Tidy Randomly Generated Paralogistic Distribution Tibble
Source:R/random-tidy-paralogistic.R
tidy_paralogistic.RdThis function will generate n random points from a paralogistic
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_numberThe current simulation number.xThe current value ofnfor the current simulation.yThe randomly generated data point.dxThexvalue from thestats::density()function.dyTheyvalue from thestats::density()function.pThe values from the resulting p_ function of the distribution family.qThe 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::rparalogis(), and its underlying
p, d, and q functions. For more information please see actuar::rparalogis()
See also
https://en.wikipedia.org/wiki/Logistic_distribution
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_inverse_weibull(),
tidy_logistic(),
tidy_lognormal(),
tidy_normal(),
tidy_pareto1(),
tidy_pareto(),
tidy_t(),
tidy_uniform(),
tidy_weibull(),
tidy_zero_truncated_geometric()
Other Logistic:
tidy_logistic(),
util_logistic_param_estimate(),
util_logistic_stats_tbl()
Examples
tidy_paralogistic()
#> # A tibble: 50 × 7
#> sim_number x y dx dy p q
#> <fct> <int> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 1 0.434 -2.40 1.59e- 3 0.302 0.434
#> 2 1 2 0.251 1.45 2.08e- 1 0.200 0.251
#> 3 1 3 10.2 5.29 3.47e- 2 0.911 10.2
#> 4 1 4 4.58 9.14 5.44e- 3 0.821 4.58
#> 5 1 5 0.326 13.0 7.02e- 4 0.246 0.326
#> 6 1 6 3.09 16.8 6.87e- 4 0.756 3.09
#> 7 1 7 0.242 20.7 4.79e- 3 0.195 0.242
#> 8 1 8 0.634 24.5 3.56e-10 0.388 0.634
#> 9 1 9 0.0413 28.4 0 0.0397 0.0413
#> 10 1 10 0.369 32.2 1.47e-18 0.269 0.369
#> # ℹ 40 more rows