
Tidy Randomly Generated Zero Truncated Poisson Distribution Tibble
Source:R/random-tidy-zero-truc-poisson.R
tidy_zero_truncated_poisson.RdThis function will generate n random points from a Zero Truncated
Poisson distribution with a user provided, .lambda, 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.
- .lambda
A vector of non-negative means.
- .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::rztpois(), and its underlying
p, d, and q functions. For more information please see actuar::rztpois()
See also
https://openacttexts.github.io/Loss-Data-Analytics/ChapSummaryDistributions.html
Other Poisson:
tidy_poisson(),
util_poisson_param_estimate(),
util_poisson_stats_tbl()
Other Zero Truncated Distribution:
tidy_zero_truncated_binomial(),
tidy_zero_truncated_geometric()
Other Discrete Distribution:
tidy_bernoulli(),
tidy_binomial(),
tidy_hypergeometric(),
tidy_negative_binomial(),
tidy_poisson(),
tidy_zero_truncated_binomial(),
tidy_zero_truncated_negative_binomial()
Examples
tidy_zero_truncated_poisson()
#> # A tibble: 50 × 7
#> sim_number x y dx dy p q
#> <fct> <int> <int> <dbl> <dbl> <dbl> <dbl>
#> 1 1 1 1 0.0786 0.00936 0.582 1
#> 2 1 2 1 0.239 0.0389 0.582 1
#> 3 1 3 1 0.399 0.123 0.582 1
#> 4 1 4 1 0.559 0.297 0.582 1
#> 5 1 5 3 0.719 0.547 0.970 3
#> 6 1 6 1 0.879 0.769 0.582 1
#> 7 1 7 1 1.04 0.826 0.582 1
#> 8 1 8 1 1.20 0.683 0.582 1
#> 9 1 9 1 1.36 0.450 0.582 1
#> 10 1 10 2 1.52 0.277 0.873 2
#> # ℹ 40 more rows