f.test {vartest} | R Documentation |
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)
Arguments
formula |
a formula of the form |
data |
a tibble or data frame containing the variables in |
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 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 |
Author(s)
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
library(vartest)
f.test(Sepal.Length ~ Species, data = iris)