james.test | R Documentation |
james.test
performs James second order test.
james.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 |
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. |
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 |
Anil Dolgun
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.
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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