Generates a plot of the Hypergeometric distribution with user specified parameters.
visualize.hyper(
stat = 1,
m = 5,
n = 4,
k = 2,
section = "lower",
strict = FALSE
)
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
white balls. m
must be greater than 0.
n
black balls. n
must be greater than 0.
draw k
balls without replacement.
Select how you want the statistic(s) evaluated via
section=
either "lower"
,"bounded"
, "upper"
,
or"tails"
.
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
visualize.it()
, dhyper()
.
# 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)
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