Visualize Cauchy Distribution

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

Usage

visualize.cauchy(stat = 1, location = 2, scale = 1, section = "lower")

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.

location

location parameter

scale

scale parameter

section

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

Value

Returns a plot of the distribution according to the conditions supplied.

See also

visualize.it(), dcauchy().

Author

James Balamuta

Examples

# Evaluates lower tail.
visualize.cauchy(stat = 1, location = 4, scale = 2, section = "lower") 
#> Warning: df2 < 2, mean is not able to be generated.


# Evaluates bounded region.
visualize.cauchy(stat = c(3,5), location = 5, scale = 3, section = "bounded") 
#> Warning: df2 < 2, mean is not able to be generated.


# Evaluates upper tail.
visualize.cauchy(stat = 1, location = 4, scale = 2, section = "upper") 
#> Warning: df2 < 2, mean is not able to be generated.