This function will generate n random points from a 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 stats::rpois(), and its underlying
p, d, and q functions. For more information please see stats::rpois()
See also
https://r-coder.com/poisson-distribution-r/
https://en.wikipedia.org/wiki/Poisson_distribution
Other Poisson:
tidy_zero_truncated_poisson(),
util_poisson_param_estimate(),
util_poisson_stats_tbl()
Other Discrete Distribution:
tidy_bernoulli(),
tidy_binomial(),
tidy_hypergeometric(),
tidy_negative_binomial(),
tidy_zero_truncated_binomial(),
tidy_zero_truncated_negative_binomial(),
tidy_zero_truncated_poisson()
Examples
tidy_poisson()
#> # A tibble: 50 × 7
#> sim_number x y dx dy p q
#> <fct> <int> <int> <dbl> <dbl> <dbl> <dbl>
#> 1 1 1 1 -1.13 0.00453 0.736 1
#> 2 1 2 0 -1.02 0.0102 0.368 0
#> 3 1 3 0 -0.913 0.0213 0.368 0
#> 4 1 4 0 -0.805 0.0408 0.368 0
#> 5 1 5 1 -0.698 0.0721 0.736 1
#> 6 1 6 1 -0.591 0.118 0.736 1
#> 7 1 7 1 -0.484 0.177 0.736 1
#> 8 1 8 1 -0.376 0.245 0.736 1
#> 9 1 9 1 -0.269 0.314 0.736 1
#> 10 1 10 2 -0.162 0.371 0.920 2
#> # ℹ 40 more rows
