Discrete Distribution
A full-flexibility discrete distribution with values from 1 to size
.
dist_discrete(size = NULL, probs = NULL)
size
: Number of classes parameter (integer). Required if probs
is NULL
.probs
: Vector of probabilties parameter, or NULL
as a placeholder.A DiscreteDistribution
object.
Parameters can be overridden with with_params = list(probs = ...)
.
d_discrete <- dist_discrete(probs = list(0.5, 0.25, 0.15, 0.1)) x <- d_discrete$sample(100) d_emp <- dist_empirical(x) plot_distributions( empirical = d_emp, theoretical = d_discrete, estimated = d_discrete, with_params = list( estimated = list( size = max(x), probs = as.list(unname(table(x)) / 100) ) ), .x = 0:max(x) )
Other Distributions: Distribution
, dist_bdegp()
, dist_beta()
, dist_binomial()
, dist_blended()
, dist_dirac()
, dist_empirical()
, dist_erlangmix()
, dist_exponential()
, dist_gamma()
, dist_genpareto()
, dist_lognormal()
, dist_mixture()
, dist_negbinomial()
, dist_normal()
, dist_pareto()
, dist_poisson()
, dist_translate()
, dist_trunc()
, dist_uniform()
, dist_weibull()
Useful links