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Generates a plot of the Negative Binomial distribution with user specified parameters.

Usage

visualize.nbinom(
  stat = 1,
  size = 6,
  prob = 0.5,
  section = "lower",
  strict = FALSE
)

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.

size

number of objects.

prob

probability of picking object.

section

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

strict

Determines whether the probability will be generated as a strict (<, >) or equal to (<=, >=) inequality. strict= requires either values = 0 or = FALSE for equal to OR values =1 or =TRUE for strict. For bounded condition use: strict=c(0,1) or strict=c(FALSE,TRUE).

Author

James Balamuta

Examples


# Evaluates lower tail.
visualize.nbinom(stat = 1, size = 5, prob = 0.5, section = "lower", strict = 0) 


# Evaluates bounded region.
visualize.nbinom(stat = c(1,3), size = 10, prob = 0.35, section = "bounded",
                    strict = c(TRUE, FALSE))


# Evaluates upper tail.
visualize.nbinom(stat = 1, size = 5, prob = 0.5, section = "upper", strict = 1)