IndependenceTestStatistic-class {coin} | R Documentation

## Class `"IndependenceTestStatistic"` and its subclasses

### Description

Objects of class `"IndependenceTestStatistic"` and its subclasses `"MaxTypeIndependenceTestStatistic"`, `"QuadTypeIndependenceTestStatistic"` and `"ScalarIndependenceTestStatistic"` represent the test statistic, the linear statistic, and the transformed and original data structures corresponding to an independence problem.

### Objects from the Class

Class `"IndependenceTestStatistic"` is a virtual class, so objects cannot be created from it directly.

Objects can be created by calls of the form

         new("MaxTypeIndependenceTestStatistic", object,
             alternative = c("two.sided", "less", "greater"), \dots),

         new("QuadTypeIndependenceTestStatistic", object, paired = FALSE, \dots)

and

         new("ScalarIndependenceTestStatistic", object,
             alternative = c("two.sided", "less", "greater"), paired = FALSE, \dots)

where `object` is an object of class `"IndependenceLinearStatistic"`, `alternative` is a character specifying the direction of the alternative hypothesis and `paired` is a logical indicating that paired data have been transformed in such a way that the (unstandardized) linear statistic is the sum of the absolute values of the positive differences between the paired observations.

### Slots

For objects of classes `"IndependenceTestStatistic"`, `"MaxTypeIndependenceTestStatistic"`, `"QuadTypeIndependenceTestStatistic"` or `"ScalarIndependenceTestStatistic"`:

`teststatistic`:

  Object of class `"numeric"`. The test statistic.

`standardizedlinearstatistic`:

  Object of class `"numeric"`. The standardized linear statistic.

`linearstatistic`:

  Object of class `"numeric"`. The linear statistic.

`expectation`:

  Object of class `"numeric"`. The expectation of the linear statistic.

`covariance`:

  Object of class `"VarCovar"`. The covariance or variance of the linear statistic.

`xtrans`:

  Object of class `"matrix"`. The transformed `x`.

`ytrans`:

  Object of class `"matrix"`. The transformed `y`.

`xtrafo`:

  Object of class `"function"`. The regression function for `x`.

`ytrafo`:

  Object of class `"function"`. The influence function for `y`.

`x`:

  Object of class `"data.frame"`. The variables `x`.

`y`:

  Object of class `"data.frame"`. The variables `y`.

`block`:

  Object of class `"factor"`. The block structure.

`weights`:

  Object of class `"numeric"`. The case weights.

Additionally, for objects of classes `"MaxTypeIndependenceTest"` or `"ScalarIndependenceTest"`:

`alternative`:

  Object of class `"character"`. The direction of the alternative hypothesis.

Additionally, for objects of class `"QuadTypeIndependenceTest"`:

`covarianceplus`:

  Object of class `"matrix"`. The Moore-Penrose inverse of the covariance matrix.

`df`:

  Object of class `"numeric"`. The rank of the covariance matrix.

Additionally, for objects of classes `"QuadTypeIndependenceTest"` or `"ScalarIndependenceTest"`:

`paired`:

  Object of class `"logical"`. The indicator for paired test statistics.

### Extends

For objects of class `"IndependenceTestStatistic"`:
Class `"IndependenceLinearStatistic"`, directly.
Class `"IndependenceTestProblem"`, by class `"IndependenceLinearStatistic"`, distance 2.
Class `"IndependenceProblem"`, by class `"IndependenceLinearStatistic"`, distance 3.

For objects of classes `"MaxTypeIndependenceTestStatistic"`, `"QuadTypeIndependenceTestStatistic"` or `"ScalarIndependenceTestStatistic"`:
Class `"IndependenceTestStatistic"`, directly.
Class `"IndependenceLinearStatistic"`, by class `"IndependenceTestStatistic"`, distance 2.
Class `"IndependenceTestProblem"`, by class `"IndependenceTestStatistic"`, distance 3.
Class `"IndependenceProblem"`, by class `"IndependenceTestStatistic"`, distance 4.

### Known Subclasses

For objects of class `"IndependenceTestStatistic"`:
Class `"MaxTypeIndependenceTestStatistic"`, directly.
Class `"QuadTypeIndependenceTestStatistic"`, directly.
Class `"ScalarIndependenceTestStatistic"`, directly.

### Methods

ApproxNullDistribution

  `signature(object = "MaxTypeIndependenceTestStatistic")`: See the documentation for `ApproxNullDistribution` for details.

ApproxNullDistribution

  `signature(object = "QuadTypeIndependenceTestStatistic")`: See the documentation for `ApproxNullDistribution` for details.

ApproxNullDistribution

  `signature(object = "ScalarIndependenceTestStatistic")`: See the documentation for `ApproxNullDistribution` for details.

AsymptNullDistribution

  `signature(object = "MaxTypeIndependenceTestStatistic")`: See the documentation for `AsymptNullDistribution` for details.

AsymptNullDistribution

  `signature(object = "QuadTypeIndependenceTestStatistic")`: See the documentation for `AsymptNullDistribution` for details.

AsymptNullDistribution

  `signature(object = "ScalarIndependenceTestStatistic")`: See the documentation for `AsymptNullDistribution` for details.

ExactNullDistribution

  `signature(object = "QuadTypeIndependenceTestStatistic")`: See the documentation for `ExactNullDistribution` for details.

ExactNullDistribution

  `signature(object = "ScalarIndependenceTestStatistic")`: See the documentation for `ExactNullDistribution` for details.

initialize

  `signature(.Object = "MaxTypeIndependenceTestStatistic")`: See the documentation for `initialize` (in package methods) for details.

initialize

  `signature(.Object = "QuadTypeIndependenceTestStatistic")`: See the documentation for `initialize` (in package methods) for details.

initialize

  `signature(.Object = "ScalarIndependenceTestStatistic")`: See the documentation for `initialize` (in package methods) for details.

statistic

  `signature(object = "IndependenceTestStatistic")`: See the documentation for `statistic` for details.

[Package coin version 1.3-0 Index]