Generates a plot of the Beta 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.- alpha
alpha
is considered to be shape1 by R's implementation of the beta distribution.alpha
must be greater than 0.- beta
beta
is considered to be shape2 by R's implementation of the beta distribution.beta
must be greater than 0.- section
Select how you want the statistic(s) evaluated via
section=
either"lower"
,"bounded"
,"upper"
, or"tails"
.
Examples
# Evaluates lower tail.
visualize.beta(stat = 1, alpha = 2, beta = 3, section = "lower")
# Evaluates bounded region.
visualize.beta(stat = c(.5,1), alpha = 4, beta = 3, section = "bounded")
# Evaluates upper tail.
visualize.beta(stat = 1, alpha = 2, beta = 3, section = "upper")