Student's t Random Samples
ran_student(n = 1, mean = 0, sd = 1, theta = 0)
A non-negative whole number of the number of random samples to generate.
A numeric vector of the means.
A non-negative numeric vector of the standard deviations.
A non-negative numeric vector of the dispersion for the mixture models (student, gamma-Poisson and beta-binomial).
A numeric vector of the random samples.
Other ran_dist:
ran_bern()
,
ran_beta_binom()
,
ran_binom()
,
ran_gamma_pois_zi()
,
ran_gamma_pois()
,
ran_gamma()
,
ran_lnorm()
,
ran_neg_binom()
,
ran_norm()
,
ran_pois_zi()
,
ran_pois()
,
ran_skewnorm()
ran_student(10, theta = 1/2)
#> [1] 1.12398036 -0.08048248 8.76749654 0.67654209 1.67882507 -0.51474009
#> [7] -0.57807941 0.36281212 2.11412876 -5.33031103