Description Usage Arguments Details Examples
cumulative_distribution_function
evaluates the cumulative distribution
function of a specific distribution dist
at a point x
.
1 2 3 4 5 6 7 8 9 10 | cumulative_distribution_function(dist, x, n, theta, ...)
## S4 method for signature 'Binomial,numeric,numeric,numeric'
cumulative_distribution_function(dist, x, n, theta, ...)
## S4 method for signature 'Normal,numeric,numeric,numeric'
cumulative_distribution_function(dist, x, n, theta, ...)
## S4 method for signature 'Student,numeric,numeric,numeric'
cumulative_distribution_function(dist, x, n, theta, ...)
|
dist |
a univariate |
x |
outcome |
n |
sample size |
theta |
distribution parameter |
... |
further optional arguments |
If the distribution is Binomial
,
theta denotes the rate difference between
intervention and control group.
Then, the mean is assumed to be
√ n theta.
If the distribution is Normal
, then
the mean is assumed to be
√ n theta.
1 2 3 4 5 | cumulative_distribution_function(Binomial(.1, TRUE), 1, 50, .3)
cumulative_distribution_function(Normal(), 1, 50, .3)
cumulative_distribution_function(Student(two_armed = FALSE), .75, 50, .9)
|
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