Generates a plot of the 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
size of sample.
- 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 with equal to inequality.
visualize.binom(stat = 1, size = 3, prob = 0.5, section = "lower", strict = FALSE)
# Evaluates bounded region with lower bound equal to and upper bound strict inequality.
visualize.binom(stat = c(1,2), size = 5, prob = 0.35, section = "bounded", strict = c(0,1))
# Evaluates upper tail with strict inequality.
visualize.binom(stat = 1, size = 3, prob = 0.5, section = "upper", strict = TRUE)