visualize.binom: Visualize Binomial Distribution

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

Visualize Binomial Distribution

Description

Generates a plot of the Binomial distribution with user specified parameters.

Usage

visualize.binom(
  stat = 1,
  size = 3,
  prob = 0.5,
  section = "lower",
  strict = FALSE
)

Arguments

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.
size	size of sample.
prob	probability of picking object.
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() , dbinom().

Examples

# Evaluates lower tail with equal to inequality.
visualize.binom(stat = 1, size = 3, prob = 0.5, section = "lower", strict = FALSE) 

# Evaluates bounded region with lower bound equal to and upper bound strict inequality.
visualize.binom(stat = c(1,2), size = 5, prob = 0.35, section = "bounded", strict = c(0,1))

# Evaluates upper tail with strict inequality.
visualize.binom(stat = 1, size = 3, prob = 0.5, section = "upper", strict = TRUE)

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