adjusted.taha.test {vartest}

Adjusted Taha Test

Description

adjusted.taha.test performs Adjusted Taha variance homogeneity test.

Usage

adjusted.taha.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 variance homogeneity. 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 containing the following components:

statistic

the corresponding test statistic.

parameter

the parameter(s) of the approximate chi squared distribution of the test statistic.

p.value

the p-value of the test.

method

the character string "Adjusted Taha 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)

Gozde Cosar and Osman Dag

References

Conover, W.J., Iman, R.L.(1978). Some Exact Tables For The Squared Ranks Test. Communications in Statistics - Simulation and Computation, B7(5), 491-513.

Fligner, M.A., Killeen, T.J.(1976). Distribution-Free Two-Sample Tests for Scale. Journal of the American Statistical Association, 71:353, 210-213.

Examples

library(vartest)

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