Tidy Randomly Generated Zero Truncated Poisson Distribution Tibble
Source:R/random-tidy-zero-truc-poisson.R
tidy_zero_truncated_poisson.Rd
This 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_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.
- .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()
,
util_zero_truncated_poisson_param_estimate()
,
util_zero_truncated_poisson_stats_tbl()
Other Zero Truncated Distribution:
tidy_zero_truncated_binomial()
,
tidy_zero_truncated_geometric()
,
util_zero_truncated_binomial_param_estimate()
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 0.00729 0.582 1
#> 2 1 2 1 0.177 0.0182 0.582 1
#> 3 1 3 1 0.276 0.0407 0.582 1
#> 4 1 4 1 0.375 0.0824 0.582 1
#> 5 1 5 2 0.474 0.150 0.873 2
#> 6 1 6 2 0.573 0.247 0.873 2
#> 7 1 7 1 0.672 0.367 0.582 1
#> 8 1 8 1 0.770 0.491 0.582 1
#> 9 1 9 2 0.869 0.594 0.873 2
#> 10 1 10 1 0.968 0.647 0.582 1
#> # ℹ 40 more rows