Quantile Test

Performs quantile test on a single sample. In addition, an estimation and a confidence interval for the desired quantile will be calculated.

Super classes

LearnNonparam::PermuTest -> LearnNonparam::OneSampleTest -> Quantile

Active bindings

prob

The probability associated with the quantile.

correct

Whether to apply continuity correction.

Methods

Public methods

• Quantile$new()

Inherited methods

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

---

Method new()

Create a new Quantile object.

Usage

Quantile$new(
  type = c("asymp", "exact"),
  alternative = c("two_sided", "less", "greater"),
  null_value = 0,
  conf_level = 0.95,
  prob = 0.5,
  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 hypothesized value of the quantile.

conf_level

a number between zero and one indicating the confidence level to use.

prob

a number between zero and one indicating the probability associated with the quantile.

correct

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

Returns

A Quantile object.

Examples

pmt(
    "onesample.quantile", prob = 0.5,
    null_value = 75, alternative = "greater",
    type = "asymp", correct = FALSE
)$test(Table1.1.1)$print()
#> 
#>  	 Quantile Test 
#> 
#> scoring: none    type: asymp    method: default
#> statistic = 26, p-value = 0.02888979
#> alternative hypothesis: true 0.5 quantile is greater than 75
#> estimate: 75.35
#> 95% confidence interval: (75, 77.1)

pmt(
    "onesample.quantile",
    prob = 0.25, conf_level = 0.90
)$test(Table1.2.1)$conf_int
#> [1] 11 29