| 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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