visualize.hyper: Visualize Hypergeometric Distribution

In coatless/visualize: Graph Probability Distributions with User Supplied Parameters and Statistics

Visualize Hypergeometric Distribution

Description

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

Usage

visualize.hyper(
  stat = 1,
  m = 5,
  n = 4,
  k = 2,
  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.
m	m white balls. m must be greater than 0.
n	n black balls. n must be greater than 0.
k	draw k balls without replacement.
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(s)

James Balamuta

See Also

visualize.it() , dhyper().

Examples

# Evaluates lower tail.
visualize.hyper(stat = 1, m=4, n=5, k=3, section = "lower", strict = 0) 

# Evaluates bounded region.
visualize.hyper(stat = c(2,4), m=14, n=5, k=2, section = "bounded", strict = c(0,1))

# Evaluates upper tail.
visualize.hyper(stat = 1, m=4, n=5, k=3, section = "upper", strict = 1)

coatless/visualize documentation built on Nov. 15, 2023, 4:12 a.m.