Two-Sample Wilcoxon Test

Performs two-sample wilcoxon test on samples. In addition, an estimation and a confidence interval for the location shift will be calculated.

Super classes

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

Active bindings

correct: Whether to apply continuity correction.

Methods

Public methods

Wilcoxon$new()

Inherited methods

Method `new()`

Create a new Wilcoxon object.

Usage

Wilcoxon$new(
  type = c("permu", "asymp"),
  alternative = c("two_sided", "less", "greater"),
  null_value = 0,
  conf_level = 0.95,
  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.
null_value: a number indicating the true value of the location shift.
conf_level: a number between zero and one indicating the confidence level to use.
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 Wilcoxon object.

Examples

pmt(
    "twosample.wilcoxon",
    alternative = "greater", n_permu = 0
)$test(Table2.1.1)$print()
#> 
#>  	 Two-Sample Wilcoxon Test 
#> 
#> scoring: rank    type: permu(35)    method: default
#> statistic = 21, p-value = 0.05714286
#> alternative hypothesis: true location shift is greater than 0
#> estimate: 16
#> 95% confidence interval: (-Inf, Inf)

pmt(
    "twosample.wilcoxon",
    alternative = "less", n_permu = 0
)$test(Table2.6.1)$print()
#> 
#>  	 Two-Sample Wilcoxon Test 
#> 
#> scoring: rank    type: permu(70)    method: default
#> statistic = 14, p-value = 0.1714286
#> alternative hypothesis: true location shift is less than 0
#> estimate: -0.35
#> 95% confidence interval: (-1.2, 0.5)

pmt(
    "twosample.wilcoxon", conf_level = 0.90
)$test(Table2.6.2)$conf_int
#> [1] 13.84 47.96