siegel.tukey.test | R Documentation |
siegel.tukey.test
performs Siegel Tukey variance homogeneity test.
siegel.tukey.test(formula, data, alpha = 0.05, na.rm = TRUE, verbose = TRUE)
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. |
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 "Siegel Tukey Test". |
data |
a data frame containing the variables in which NA values (if exist) are removed. |
formula |
a formula of the form |
Gozde Cosar and Osman Dag
Gibbons, J.D., Chakraborti, S. (2010). Nonparametric Statistical Inference. CRC Press, 5th Ed., 316-320.
Siegel, S., Tukey, J.W. (1960). A Nonparametric Sum of Ranks Procedure for Relative Spread in Unpaired Samples. Journal of the American Statistical Association, 55:291, 429-445.
GSTTest
library(vartest)
siegel.tukey.test(Sepal.Length ~ Species, data = iris)
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