tidy_beta: Tidy Randomly Generated Beta Distribution Tibble
In TidyDensity: Functions for Tidy Analysis and Generation of Random Data

tidy_beta

R Documentation

Tidy Randomly Generated Beta Distribution Tibble

Description

This function will generate n random points from a beta distribution with a user provided, .shape1, .shape2, .ncp or ⁠non-centrality parameter⁠, 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_beta(.n = 50, .shape1 = 1, .shape2 = 1, .ncp = 0, .num_sims = 1)

Arguments

`.n`	The number of randomly generated points you want.
`.shape1`	A non-negative parameter of the Beta distribution.
`.shape2`	A non-negative parameter of the Beta distribution.
`.ncp`	The `⁠non-centrality parameter⁠` of the Beta distribution.
`.num_sims`	The number of randomly generated simulations you want.

Details

This function uses the underlying stats::rbeta(), and its underlying p, d, and q functions. For more information please see stats::rbeta()

Value

A tibble of randomly generated data.

Author(s)

Steven P. Sanderson II, MPH

Other Continuous Distribution: tidy_burr(), tidy_cauchy(), tidy_chisquare(), tidy_exponential(), tidy_f(), tidy_gamma(), tidy_generalized_beta(), tidy_generalized_pareto(), tidy_geometric(), tidy_inverse_burr(), tidy_inverse_exponential(), tidy_inverse_gamma(), tidy_inverse_normal(), tidy_inverse_pareto(), tidy_inverse_weibull(), tidy_logistic(), tidy_lognormal(), tidy_normal(), tidy_paralogistic(), tidy_pareto1(), tidy_pareto(), tidy_t(), tidy_uniform(), tidy_weibull(), tidy_zero_truncated_geometric()