`bf.test`

performs Brown-Forsythe test.

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

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.

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

the Brown-Forsythe test statistic.

the parameter(s) of the approximate F distribution of the test statistic.

the p-value of the test.

the level of significance to assess the statistical difference.

the character string "Brown-Forsythe Test".

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

a formula of the form `lhs ~ rhs`

where `lhs`

gives the sample values and `rhs`

the corresponding groups.

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.

# NOT RUN { library(onewaytests) bf.test(Sepal.Length ~ Species, data = iris) out <- bf.test(Sepal.Length ~ Species, data = iris) paircomp(out) # }