mbf.test: Modified Brown-Forsythe Test

In onewaytests: One-Way Tests in Independent Groups Designs

Modified Brown-Forsythe Test

Description

mbf.test performs modified Brown-Forsythe test.

Usage

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

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.

Value

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

statistic	the modified Brown-Forsythe test statistic.
parameter	the parameter(s) of the approximate F distribution of the test statistic.
p.value	the p-value of the test.
alpha	the level of significance to assess the statistical difference.
method	the character string "Modified Brown-Forsythe Test".
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.

Author(s)

Merve Kasikci

References

Mehrotra, D.V. (1997). Improving the Brown-Forsythe Solution to the Generalized Behrens-Fisher Problem. Communications in Statistics-Simulation and Computation, 26:3, 1139-1145.

Examples

library(onewaytests)

mbf.test(Sepal.Length ~ Species, data = iris)

out <- mbf.test(Sepal.Length ~ Species, data = iris)
paircomp(out)

onewaytests documentation built on Oct. 2, 2023, 1:09 a.m.