View source: R/random-tidy-negative-binomial.R
| tidy_negative_binomial | R Documentation |
This function will generate n random points from a negative binomial
distribution with a user provided, .size, .prob, 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 of n for the current simulation.
y The randomly generated data point.
dx The x value from the stats::density() function.
dy The y value from the stats::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.
tidy_negative_binomial(
.n = 50,
.size = 1,
.prob = 0.1,
.num_sims = 1,
.return_tibble = TRUE
)
.n |
The number of randomly generated points you want. |
.size |
target for number of successful trials, or dispersion parameter (the shape parameter of the gamma mixing distribution). Must be strictly positive, need not be integer. |
.prob |
Probability of success on each trial where 0 < .prob <= 1. |
.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. |
This function uses the underlying stats::rnbinom(), and its underlying
p, d, and q functions. For more information please see stats::rnbinom()
A tibble of randomly generated data.
Steven P. Sanderson II, MPH
https://openacttexts.github.io/Loss-Data-Analytics/ChapSummaryDistributions.html
Other Discrete Distribution:
tidy_bernoulli(),
tidy_binomial(),
tidy_hypergeometric(),
tidy_poisson(),
tidy_zero_truncated_binomial(),
tidy_zero_truncated_negative_binomial(),
tidy_zero_truncated_poisson()
Other Binomial:
tidy_binomial(),
tidy_zero_truncated_binomial(),
tidy_zero_truncated_negative_binomial(),
util_binomial_param_estimate(),
util_binomial_stats_tbl(),
util_negative_binomial_param_estimate(),
util_zero_truncated_binomial_param_estimate(),
util_zero_truncated_binomial_stats_tbl(),
util_zero_truncated_negative_binomial_param_estimate(),
util_zero_truncated_negative_binomial_stats_tbl()
tidy_negative_binomial()
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