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onewaytests (version 3.0)

mw.test: Mann-Whitney U Test

Description

mw.test performs Mann-Whitney U test for two samples.

Usage

mw.test(formula, data, alpha = 0.05, na.rm = TRUE, verbose = TRUE)

Value

A list with class "owt" containing the following components:

statistic

the Z statistic.

p.value

the p-value of the test.

alpha

the level of significance to assess the statistical difference.

data

a data frame containing the variables in which NA values (if exist) are removed.

formula

a formula of the form lhs ~ rhs where lhs gives the sample values and rhs the corresponding groups.

Arguments

formula

a formula of the form lhs ~ rhs where lhs gives the sample values and rhs the corresponding groups.

data

a tibble or data frame containing the variables in formula.

alpha

the level of significance to assess the statistical difference. Default is set to alpha = 0.05.

na.rm

a logical value indicating whether NA values should be stripped before the computation proceeds.

verbose

a logical for printing output to R console.

Author

Osman Dag

Details

Approximation to normal distribution is used to obtain the p-value.

See Also

wilcox.test st.test wt.test

Examples

Run this code


library(AID)
data(AADT)

library(onewaytests)
describe(aadt ~ control, data = AADT)

mw.test(aadt ~ control, data = AADT)


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