visualize (version 4.5.0)

visualize.binom: 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

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)