ss.test: Scott-Smith Test

Description

ss.test performs Scott-Smith test.

Usage

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

Value

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

statistic: the Scott-Smith test statistic.
parameter: the parameter(s) of the approximate chi-squared distribution of the test statistic.
p.value: the p-value of the test.
alpha: the level of significance to assess the statistical difference.
method: the character string "Scott-Smith 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: the level of significance to assess the statistical difference. 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.

Author

Osman Dag

References

Scott, A., Smith, T. (1971). Interval Estimates for Linear Combinations of Means. Journal of the Royal Statistical Society: Series C (Applied Statistics), 20:3, 276-285.

Examples

Run this code


library(onewaytests)

ss.test(Sepal.Length ~ Species, data = iris)

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

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