james.test: James Second Order Test

Description

james.test performs James second order test.

Usage

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

Value

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

statistic: the James second order test statistic.
criticalValue: the critical value of the James second order test statistic.
alpha: the level of significance to assess the statistical difference.
method: the character string "James Second Order 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: a significance level. Defaults 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

Anil Dolgun

References

Cribbie, R. A., Fiksenbaum, L., Keselman, H. J., Wilcox, R. R. (2012). Effect of Non-Normality on Test Statistics for One-Way Independent Groups Designs. British Journal of Mathematical and Statistical Psychology, 65, 56-73.

Dag, O., Dolgun, A., Konar, N.M. (2018). onewaytests: An R Package for One-Way Tests in Independent Groups Designs. The R Journal, 10:1, 175-199.

Examples

Run this code


library(onewaytests)

james.test(Sepal.Length ~ Species, data = iris, alpha = 0.05)

out <- james.test(Sepal.Length ~ Species, data = iris, alpha = 0.05)
paircomp(out)

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