# visualize.hyper: Visualize Hypergeometric Distribution In visualize: Graph Probability Distributions with User Supplied Parameters and Statistics

## Description

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

## Usage

 ```1 2``` ```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)`.

James Balamuta

## See Also

`visualize.it` , `dhyper`.

## Examples

 ```1 2 3 4 5 6 7 8``` ```# 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) ```

visualize documentation built on May 29, 2017, 10:51 p.m.