Two-Sample Test Based on Mean or Median

Performs mean/median based two-sample test on samples.

Super classes

LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> LearnNonparam::TwoSampleLocationTest -> Difference

Methods

Public methods

• Difference$new()

Inherited methods

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

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Method new()

Create a new Difference object.

Usage

Difference$new(
  method = c("mean", "median"),
  alternative = c("two_sided", "less", "greater"),
  null_value = 0,
  n_permu = 10000
)

Arguments

method

a character string specifying whether to use the mean or the median.

alternative

a character string specifying the alternative hypothesis.

null_value

a number indicating the true value of the location shift.

n_permu

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

Returns

A Difference object.

Examples

pmt(
    "twosample.difference", method = "mean",
    alternative = "greater", n_permu = 0
)$test(Table2.1.1)$print()$plot(
    style = "graphic", breaks = seq(-20, 25, length.out = 9)
)
#> 
#>  	 Two-Sample Test Based on Mean or Median 
#> 
#> scoring: none    type: permu(35)    method: mean
#> statistic = 16.16667, p-value = 0.05714286
#> alternative hypothesis: greater


pmt(
    "twosample.difference", method = "mean",
    alternative = "greater", n_permu = 1000
)$test(Table2.3.1)$print()
#> 
#>  	 Two-Sample Test Based on Mean or Median 
#> 
#> scoring: none    type: permu(1000)    method: mean
#> statistic = 1.675, p-value = 0.196 (± 0.02460391 at 95% confidence)
#> alternative hypothesis: greater