Siegel-Tukey Test

Performs Siegel-Tukey test on samples.

Super classes

LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> LearnNonparam::TwoSampleLocationTest -> LearnNonparam::Wilcoxon -> SiegelTukey

Methods

Public methods

• SiegelTukey$new()

Inherited methods

• LearnNonparam::PermuTest$plot()
• LearnNonparam::PermuTest$print()
• LearnNonparam::PermuTest$test()

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Method new()

Create a new SiegelTukey object.

Usage

SiegelTukey$new(
  type = c("permu", "asymp"),
  alternative = c("two_sided", "less", "greater"),
  n_permu = 10000,
  correct = TRUE
)

Arguments

type

a character string specifying the way to calculate the p-value.

alternative

a character string specifying the alternative hypothesis.

n_permu

an integer indicating number of permutations for the permutation distribution. If set to 0, all permutations will be used.

correct

a logical indicating whether to apply continuity correction in the normal approximation for the p-value.

Returns

A SiegelTukey object.

Examples

pmt(
    "twosample.siegel",
    alternative = "greater", n_permu = 0
)$test(Table2.8.1)$print()
#> 
#>  	 Siegel-Tukey Test 
#> 
#> scoring: Siegel-Tukey rank    type: permu(252)    method: default
#> statistic = 24, p-value = 0.2738095
#> alternative hypothesis: true ratio of scales is greater than 1