Generates a plot of the Gamma 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 shape by R's implementation of the gamma distribution.alpha
must be greater than 0.- theta
theta
is considered to be rate by R's implementation of the gamma distribution.theta
must be greater than 0.- section
Select how you want the statistic(s) evaluated via
section=
either"lower"
,"bounded"
,"upper"
, or"tails"
.
Examples
# Evaluate lower tail.
visualize.gamma(stat = 1, alpha = 3, theta = 1, section = "lower")
# Evaluate bounded section.
visualize.gamma(stat = c(0.75,1), alpha = 3, theta = 1, section = "bounded")
# Evaluate upper tail.
visualize.gamma(stat = 1, alpha = 3, theta = 1, section = "upper")