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

Usage

visualize.gamma(stat = 1, alpha = 1, theta = 1, 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 shape by R's implementation of the gamma distribution. alpha must be greater than 0.

theta

theta is considered to be rate by R's implementation of the gamma distribution. theta must be greater than 0.

section

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

Author

James Balamuta

Examples


# Evaluate lower tail.
visualize.gamma(stat = 1, alpha = 3, theta = 1, section = "lower") 


# Evaluate bounded section.
visualize.gamma(stat = c(0.75,1), alpha = 3, theta = 1, section = "bounded") 


# Evaluate upper tail.
visualize.gamma(stat = 1, alpha = 3, theta = 1, section = "upper")