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Generates a plot of the Beta distribution with user specified parameters.

Usage

visualize.beta(stat = 1, alpha = 3, beta = 2, section = "lower")

Arguments

stat

a statistic to obtain the probability from. When using the "bounded" condition, you must supply the parameter as stat = c(lower_bound, upper_bound). Otherwise, a simple stat = desired_point will suffice.

alpha

alpha is considered to be shape1 by R's implementation of the beta distribution. alpha must be greater than 0.

beta

beta is considered to be shape2 by R's implementation of the beta distribution. beta must be greater than 0.

section

Select how you want the statistic(s) evaluated via section= either "lower","bounded", "upper", or"tails".

Value

Returns a plot of the distribution according to the conditions supplied.

See also

Author

James Balamuta

Examples


# Evaluates lower tail.
visualize.beta(stat = 1, alpha = 2, beta = 3, section = "lower") 


# Evaluates bounded region.
visualize.beta(stat = c(.5,1), alpha = 4, beta = 3, section = "bounded") 


# Evaluates upper tail.
visualize.beta(stat = 1, alpha = 2, beta = 3, section = "upper")