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onewaytests (version 2.4)

# bf.test: Brown-Forsythe Test

## Description

`bf.test` performs Brown-Forsythe test.

## Usage

`bf.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 the formula `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 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 "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.

## References

Brown, M. B., Forsythe. A. B. (1974a). The small sample behavior of some statistics which test the equality of several means. Technometrics, 16, 129-132.

Dag, O., Dolgun, A., Konar, N.M. (2018). onewaytests: An R Package for One-Way Tests in Independent Groups Designs. The R Journal, 10:1, 175-199.

## Examples

Run this code
``````# NOT RUN {
library(onewaytests)

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

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

# }
``````

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