mzv.test {vartest} | R Documentation |
Modified Z Variance Test
Description
mzv.test
performs Modified Z Variance variance homogeneity test.
Usage
mzv.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 "Modified Z Variance 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
Wang, Y., Gil, P.R., Chen, Y.H., Kromrey, J.D., Kim, E.S., Pham, T., Nguyen, D., Romano, J.L. (2017). Comparing the Performance of Approaches for Testing the Homogeneity of Variance Assumption in One-Factor Anova Models. Educational and Psychological Measurement, 77:2, 305-329.
Overall, J.E., Woodward, J.A. (1974). A Simple Test for Heterogeneity of Variance in Complex Factorial Designs. Psychometrika, 39:3, 311-318.
Examples
library(vartest)
mzv.test(Sepal.Length ~ Species, data = iris)