Student's t data distribution

Implements exact t-distributions instead of a normal approximation

Student(two_armed = TRUE)

# S4 method for Student
quantile(x, probs, n, theta, ...)

# S4 method for Student,numeric
simulate(object, nsim, n, theta, seed = NULL, ...)

Arguments

two_armed

logical indicating if a two-armed trial is regarded

x

outcome

probs

vector of probabilities

n

sample size

theta

distribution parameter

...

further optional arguments

object

object of class Student

nsim

number of simulation runs

seed

random seed

See also

see probability_density_function and cumulative_distribution_function to evaluate the pdf and the cdf, respectively.

Examples

datadist <- Student(two_armed = TRUE)