Graphing function for Discrete Distributions.

Handles how discrete distributions are graphed. Users should not use this function. Instead, users should use link{visualize.it}.

Usage

visualize.discrete(dist, stat = c(0, 1), params, section = "lower", strict)

Arguments

dist

contains the distribution from link{visualize.distributions}.

stat

a statistic to obtain the probability from. When using the "bounded" condition, you must supply the parameter as stat = c(lower_bound, upper_bound). Otherwise, a simple stat = desired_point will suffice.

params

A list that must contain the necessary parameters for each distribution. For example, params = list(n = 5, prob = .25) would be for a binomial distribution with size 5 and probability .75. If you are not aware of the parameters for the distribution, consider using the visualize.dist_name functions listed under the "See Also" section.

section

Select how you want the statistic(s) evaluated via section= either "lower","bounded", "upper", or"tails".

strict

Determines whether the probability will be generated as a strict (<, >) or equal to (<=, >=) inequality. strict= requires either values = 0 or =FALSE for equal to OR values =1 or =TRUE for strict. For bounded condition use: strict=c(0,1) or strict=c(FALSE,TRUE).

See also

visualize.it(), visualize.binom(), visualize.geom(), visualize.hyper(), visualize.nbinom(), visualize.pois().

Author

James Balamuta

Examples

# Function does not have dist look up, must go through visualize.it
visualize.it(dist='geom', stat = c(2,4), params = list(prob = .75), section = "bounded",
          strict = c(0,1))