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