Binomial Distribution

See stats::Binomial

Usage

dist_binomial(size = NULL, prob = NULL)

Arguments

size

Number of trials parameter (integer), or NULL as a placeholder.

prob

Success probability parameter, or NULL as a placeholder.

Value

A BinomialDistribution object.

Details

Both parameters can be overridden with with_params = list(size = ..., prob = ...).

See also

Other Distributions: Distribution, dist_bdegp(), dist_beta(), dist_blended(), dist_dirac(), dist_discrete(), 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()

Examples

d_binom <- dist_binomial(size = 10, prob = 0.5)
x <- d_binom$sample(100)
d_emp <- dist_empirical(x)

plot_distributions(
  empirical = d_emp,
  theoretical = d_binom,
  estimated = d_binom,
  with_params = list(
    estimated = list(
      size = max(x),
      prob = mean(x) / max(x)
    )
  ),
  .x = 0:max(x)
)