visualize.discrete: Graphing function for Discrete Distributions.

In visualize: Graph Probability Distributions with User Supplied Parameters and Statistics

Graphing function for Discrete Distributions.

Description

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).

Author(s)

James Balamuta

See Also

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

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))

visualize documentation built on Nov. 13, 2023, 5:07 p.m.