# visualize.nbinom: Visualize Negative Binomial Distribution In visualize: Graph Probability Distributions with User Supplied Parameters and Statistics

## Description

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

## Usage

 ```1 2``` ```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(s)

James Balamuta

`visualize.it` , `dnbinom`.
 ```1 2 3 4 5 6 7 8 9``` ```# 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) ```