tidy_binomial {TidyDensity}

Tidy Randomly Generated Binomial Distribution Tibble

Description

This function will generate n random points from a 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.

Usage

tidy_binomial(
  .n = 50,
  .size = 0,
  .prob = 1,
  .num_sims = 1,
  .return_tibble = TRUE
)

Arguments

.n

The number of randomly generated points you want.

.size

Number of trials, zero or more.

.prob

Probability of success on each trial.

.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::rbinom(), and its underlying p, d, and q functions. For more information please see stats::rbinom()

Value

A tibble of randomly generated data.

Author(s)

Steven P. Sanderson II, MPH

See Also

https://www.itl.nist.gov/div898/handbook/eda/section3/eda366i.htm

Other Discrete Distribution: tidy_bernoulli(), tidy_hypergeometric(), tidy_negative_binomial(), tidy_poisson(), tidy_zero_truncated_binomial(), tidy_zero_truncated_negative_binomial(), tidy_zero_truncated_poisson()

Other Binomial: tidy_negative_binomial(), tidy_zero_truncated_binomial(), tidy_zero_truncated_negative_binomial(), util_binomial_param_estimate(), util_binomial_stats_tbl(), util_negative_binomial_param_estimate()

Examples

tidy_binomial()