f.test: Fisher's Test

Description

f.test performs Fisher's variance homogeneity test.

Usage

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

Value

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

statistic: the corresponding test statistic.
parameter: the parameter(s) of the approximate F distribution of the test statistic.
p.value: the p-value of the test.
method: the character string "Fisher's 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.

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.

Author

Gozde Cosar and Osman Dag

References

Gorbunova, A.A., Lemeshko, B.Y. (2012). Application of Parametric Homogeneity of Variances Tests under Violation of Classical Assumption. 2nd Stochastic Modeling Techniques and Data Analysis International Conference, 5:8, 253-260.

Examples

Run this code


library(vartest)

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

out <- f.test(Sepal.Length ~ Species, data = iris)
summary(out)

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