Generates a plot of the Negative Binomial distribution with user specified parameters.
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_pointwill 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).
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 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)
# Evaluates upper tail.
visualize.nbinom(stat = 1, size = 5, prob = 0.5, section = "upper", strict = 1)
