Visualize Cauchy Distribution

Generates a plot of the Wilcoxon Rank Sum distribution with user specified parameters.

Usage

visualize.wilcox(stat = 1, m = 7, n = 3, 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.

m

Sample size from group 1.

n

Sample size from group 2.

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(), dwilcox().

Author

James Balamuta

Examples

# Evaluates lower tail.
visualize.wilcox(stat = 1, m = 7, n = 3, section = "lower") 


# Evaluates bounded region.
visualize.wilcox(stat = c(2,3), m = 5, n = 4, section = "bounded") 


# Evaluates upper tail.
visualize.wilcox(stat = 1, m = 7, n = 3, section = "upper")